Tootfinder

pySpainMobility: a Python Package to Access and Manage Spanish Open Mobility Data
Ciro Beneduce, Tania Gull\'on Mu\~noz-Repiso, Bruno Lepri, Massimiliano Luca
https://arxiv.org/abs/2506.13385

pySpainMobility: a Python Package to Access and Manage Spanish Open Mobility Data
Mobility patterns play a critical role in a wide range of societal challenges, from epidemic modeling and emergency response to transportation planning and regional development. Yet, access to high-quality, timely, and openly available mobility data remains limited. In response, the Spanish Ministry of Transportation and Sustainable Mobility has released daily mobility datasets based on anonymized mobile phone data, covering districts, municipalities, and greater urban areas from February 2020 …

Mobility rings in a non-Hermitian non-Abelian quasiperiodic lattice
Rui-Jie Chen, Guo-Qing Zhang, Zhi Li, Dan-Wei Zhang
https://arxiv.org/abs/2507.12176 ht…

Mobility rings in a non-Hermitian non-Abelian quasiperiodic lattice
We study localization and topological properties in spin-1/2 non-reciprocal Aubry-André chain with SU(2) non-Abelian artificial gauge fields. The results reveal that, different from the Abelian case, mobility rings, will emerge in the non-Abelian case accompanied by the non-Hermitian topological phase transition. As the non-Hermitian extension of mobility edges, such mobility rings separate Anderson localized eigenstates from extended eigenstates in the complex energy plane under the periodic …

FloGAN: Scenario-Based Urban Mobility Flow Generation via Conditional GANs and Dynamic Region Decoupling
Seanglidet Yean, Jiazu Zhou, Bu-Sung Lee, Markus Schl\"apfer
https://arxiv.org/abs/2507.12053

FloGAN: Scenario-Based Urban Mobility Flow Generation via Conditional GANs and Dynamic Region Decoupling
The mobility patterns of people in cities evolve alongside changes in land use and population. This makes it crucial for urban planners to simulate and analyze human mobility patterns for purposes such as transportation optimization and sustainable urban development. Existing generative models borrowed from machine learning rely heavily on historical trajectories and often overlook evolving factors like changes in population density and land use. Mechanistic approaches incorporate population de…

Mobility to Campus -- a Framework to Evaluate and Compare Different Mobility Modes
Helena Fehler, Marco Pruckner, Marie Schmidt
https://arxiv.org/abs/2506.13574

Mobility to Campus -- a Framework to Evaluate and Compare Different Mobility Modes
The transport sector accounts for about 20% of German CO2 emissions, with commuter traffic contributing a significant part. Particularly in rural areas, where public transport is inconvenient to use, private cars are a common choice for commuting and most commuters travel alone in their cars. Consolidation of some of these trips has the potential to decrease CO2 emissions and could be achieved, e.g., by offering ridesharing (commuters with similar origin-destination pairs share a car) or ridepo…

🚀 𝘀𝗽𝗮𝗻𝗶𝘀𝗵𝗼𝗱𝗱𝗮𝘁𝗮 0.2.0 is here. As before, you are getting nicely formatted Open Mobility Big Data released by the Spanish Ministry of Transport and Sustainable Mobility (MITMS) in a reproducible way. #rstats #opendata

Get Spanish Origin-Destination Data
Gain seamless access to origin-destination (OD) data from the Spanish Ministry of Transport, hosted at . This package simplifies the management of these large datasets by providing tools to download zone boundaries, handle associated origin-destination data, and process it efficiently with the duckdb database interface. Local caching minimizes repeated downloads, streamlining wo…

Mobility Extraction and Analysis of GaN HEMTs for RF Applications Using TCAD and Experimental Data
Tanjim Rahman
https://arxiv.org/abs/2507.11849 https://

Mobility Extraction and Analysis of GaN HEMTs for RF Applications Using TCAD and Experimental Data
This paper presents an analysis of GaN high-electron-mobility transistors (HEMTs) using both TCAD simulation and experimental characterization. The energy band structure was studied using Nextnano simulation software to observe two-dimensional electron gas (2DEG) formation and carrier confinement under equilibrium conditions. Additionally, I-V and C-V data from fabricated research-grade GaN HEMTs were analyzed to extract key electrical parameters. The device demonstrated an ON current of 1.9 mA…

CoNav Chair: Development and Evaluation of a Shared Control based Wheelchair for the Built Environment
Yifan Xu, Qianwei Wang, Jordan Lillie, Vineet Kamat, Carol Menassa, Clive D'Souza
https://arxiv.org/abs/2507.11716

CoNav Chair: Development and Evaluation of a Shared Control based Wheelchair for the Built Environment
As the global population of people with disabilities (PWD) continues to grow, so will the need for mobility solutions that promote independent living and social integration. Wheelchairs are vital for the mobility of PWD in both indoor and outdoor environments. The current SOTA in powered wheelchairs is based on either manually controlled or fully autonomous modes of operation, offering limited flexibility and often proving difficult to navigate in spatially constrained environments. Moreover, r…

Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
Chuanchao Gao, Niraj Kumar, Arvind Easwaran
https://arxiv.org/abs/2506.12686

Energy-Efficient Real-Time Job Mapping and Resource Management in Mobile-Edge Computing
Mobile-edge computing (MEC) has emerged as a promising paradigm for enabling Internet of Things (IoT) devices to handle computation-intensive jobs. Due to the imperfect parallelization of algorithms for job processing on servers and the impact of IoT device mobility on data communication quality in wireless networks, it is crucial to jointly consider server resource allocation and IoT device mobility during job scheduling to fully benefit from MEC, which is often overlooked in existing studies.…

Indium Hydroxide Ceramic Targets: A Breakthrough in High-Mobility Thin-Film Transistor Technology
Hikaru Sadahira, Prashant R. Ghediya, Hyeonjun Kong, Akira Miura, Yasutaka Matsuo, Hiromichi Ohta, Yusaku Magari
https://arxiv.org/abs/2507.11011

Indium Hydroxide Ceramic Targets: A Breakthrough in High-Mobility Thin-Film Transistor Technology
Thin-film transistors composed of a hydrogen-containing indium oxide active layer are promising candidates for backplane devices in next-generation flat panel displays, offering higher definition and faster operation. However, the hydrogen incorporation process during film deposition poses challenges for scalable and industrial development due to both safety and controllability issues. Here, we demonstrate that using indium hydroxide ceramic as the target material for film deposition overcomes …

Collaborative Trustworthiness for Good Decision Making in Autonomous Systems
Selma Saidi, Omar Laimona, Christoph Schmickler, Dirk Ziegenbein
https://arxiv.org/abs/2507.11135

Collaborative Trustworthiness for Good Decision Making in Autonomous Systems
Autonomous systems are becoming an integral part of many application domains, like in the mobility sector. However, ensuring their safe and correct behaviour in dynamic and complex environments remains a significant challenge, where systems should autonomously make decisions e.g., about manoeuvring. We propose in this paper a general collaborative approach for increasing the level of trustworthiness in the environment of operation and improve reliability and good decision making in autonomous s…

immigrant rights is a bike issue https://usa.streetsblog.org/2025/05/02/freedom-to-move-why-immigration-belongs-in-the-mobility-conversation

Freedom to Move: Why Immigration Belongs in the Mobility Conversation — Streetsblog USA
"If movement is a right, then that right must apply to everyone regardless of identity."

Spatial Optimization of Autonomous Vehicle Assignment Based on Distance-Driven Demand and Customer Patience
Niloufar Mirzavand Boroujeni, Nasim Mirzavand Boroujeni, Nima Moradi, Saeed Jamalzadeh
https://arxiv.org/abs/2506.12671

Spatial Optimization of Autonomous Vehicle Assignment Based on Distance-Driven Demand and Customer Patience
Autonomous vehicles (AVs) can improve efficiency, reduce costs, and enhance road safety. They optimize traffic flow, minimize congestion, and support sustainability through shared mobility and reduced fuel consumption. A key challenge in AV deployment is allocating vehicles to parking lots across regions to meet fluctuating demand. Proper allocation reduces delays, lowers costs, and boosts user satisfaction by ensuring timely vehicle availability. This paper explores the impact of customer wait…

Tesla is sitting on an inventory worth $800M of 10,000 unsold Cybertrucks.
Dealerships have resorted to dumping their glut of the unorthodox pickup trucks in deserted parking lots.
✅ Cybertruck Sales Are So Bad That We Gasped
https://futurism.com/cybertruck-sales-bad

Cybertruck Sales Are So Bad That We Gasped
In the entire first quarter of 2025, Tesla has managed to sell just 7,100 Cybertrucks in the US, according to data from S&P Global Mobility.

Joint Optimization of Multi-UAV Deployment and 3D Positioning in Traffic-Aware Aerial Networks
Kamran Shafafi, Alaa Awad Abdellatif, Manuel Ricardo, Rui Campos
https://arxiv.org/abs/2506.13287

Joint Optimization of Multi-UAV Deployment and 3D Positioning in Traffic-Aware Aerial Networks
Unmanned Aerial Vehicles (UAVs) have emerged as a key enabler for next-generation wireless networks due to their on-demand deployment, high mobility, and ability to provide Line-of-Sight (LoS) connectivity. These features make UAVs particularly well-suited for dynamic and mission-critical applications such as intelligent transportation systems and emergency communications. However, effectively positioning multiple UAVs in real-time to meet non-uniform, time-varying traffic demands remains a sig…

Convergence of a finite-volume scheme for aggregation-diffusion equations with saturation
David G\'omez-Castro
https://arxiv.org/abs/2507.11132 https:/…

Convergence of a finite-volume scheme for aggregation-diffusion equations with saturation
In [Bailo, Carrillo, Hu. SIAM J. Appl. Math. 2023] the authors introduce a finite-volume method for aggregation-diffusion equations with non-linear mobility. In this paper we prove convergence of this method using an Aubin--Simons compactness theorem due to Gallouët and Latché. We use suitable discrete $H^1$ and $W^{-1,1}$ discrete norms. We provide two convergence results. A first result shows convergence with general entropies ($U$) (including singular and degenerate) if the initial datum d…

Replaced article(s) found for physics.soc-ph. https://arxiv.org/list/physics.soc-ph/new
[1/1]:
Sustained changes to urban mobility after COVID-19 amplified socio-economic inequalities in Latin...

Density-Independent Glassy Behavior in the High-Density Phase of Motility-Induced Phase Separation
Toranosuke Umemura, Issei Sakai, Takuma Akimoto
https://arxiv.org/abs/2506.13140

Density-Independent Glassy Behavior in the High-Density Phase of Motility-Induced Phase Separation
We investigate the nonequilibrium dynamics of active matter using a two-dimensional active Brownian particles model. In these systems, self-propelled particles undergo motility-induced phase separation (MIPS), spontaneously segregating into dense and dilute phases. We find that in the high-density phase, local particle mobility exhibits glassy behavior, with diffusivity remaining unchanged despite variations in the global system density. As global density increases further, the system undergoes…

Reminder that our focus issue "Urban Mobility and Green Transportation in Sustainable Cities" in Journal of Physics: Complexity is open for only 2 more months!
👉 https://iopscience.iop.org/collections/jpcomplex-231012-387

Orchestrating the Implementation of the Smart City
Filippo Marchesani
https://arxiv.org/abs/2507.12267 https://arxiv.org/pdf/2507.122…

Orchestrating the Implementation of the Smart City
This chapter explores the six core dimensions of smart cities (i.e. smart economy, mobility, environment, people, living, and governance) emphasizing their interdependence and the need for holistic orchestration. Building on Giffinger et al. (2007) and subsequent literature, it argues that integrating these dimensions is crucial for sustainable urban development. ICT plays a key enabling role but must be complemented by human and social capital. Through institutional examples, such as the creat…

Replaced article(s) found for quant-ph. https://arxiv.org/list/quant-ph/new
[2/2]:
Exact multiple anomalous mobility edges in a flat band geometry

Beyond Connectivity: Higher-Order Network Framework for Capturing Memory-Driven Mobility Dynamics
Chen Zhang, J\"urgen Hackl
https://arxiv.org/abs/2507.07727

Beyond Connectivity: Higher-Order Network Framework for Capturing Memory-Driven Mobility Dynamics
Understanding and predicting mobility dynamics in transportation networks is critical for infrastructure planning, resilience analysis, and traffic management. Traditional graph-based models typically assume memoryless movement, limiting their ability to capture sequential dependencies inherent in real-world mobility patterns. In this study, we introduce a novel higher-order network framework for modeling memory-dependent dynamics in transportation systems. By extending classical graph represen…

🧶 Can America Get Unstuck?
#politics

Can America Get Unstuck?
We used to be more dynamic, more mobile, and more energetic. It’s not clear if we can be again.

Replaced article(s) found for cond-mat.dis-nn. https://arxiv.org/list/cond-mat.dis-nn/new
[1/1]:
Exact multiple anomalous mobility edges in a flat band geometry

Entanglement switching via mobility edges in a quasiperiodic chain
YouYoung Joung, Junmo Jeon, SungBin Lee
https://arxiv.org/abs/2507.06305 https://…

Entanglement switching via mobility edges in a quasiperiodic chain
We propose quasiperiodic chains with tunable mobility edge physics, as a promising platform for engineering long-range quantum entanglement. Using the generalized Aubry-André model, we show that the mobility edges play a key role in manipulating long-range indirect interactions in these systems. Near the mobility edge, critical states exhibit unexpectedly strong correlations between sites that share similar local structures, regardless of their spatial separation. Remarkably, by tuning the mob…

Electricity instead of heat
Axel Kleidon, Harald Lesch
https://arxiv.org/abs/2506.12714 https://arxiv.org/pdf/2506.12714

Electricity instead of heat
The energy transition is also about switching to electricity-based technologies such as heat pumps and electric mobility. They avoid heat as an intermediate step and are therefore much more efficient. This can significantly reduce the demand for primary energy in the future, which can then be fully covered by the expansion of renewable energies. Entropy and the maximum possible combustion temperature can be used to understand why combustion is so inefficient.

The NetMob25 Dataset: A High-resolution Multi-layered View of Individual Mobility in Greater Paris Region
Alexandre Chasse, Anne J. Kouam, Aline C. Viana, Razvan Stanica, Wellington V. Lobato, Geymerson Ramos, Geoffrey Deperle, Abdelmounaim Bouroudi, Suzanne Bussod, Fernando Molano
https://arxiv.org/abs/2506.05903

The NetMob25 Dataset: A High-resolution Multi-layered View of Individual Mobility in Greater Paris Region
High-quality mobility data remains scarce despite growing interest from researchers and urban stakeholders in understanding individual-level movement patterns. The Netmob25 Data Challenge addresses this gap by releasing a unique GPS-based mobility dataset derived from the EMG 2023 GNSS-based mobility survey conducted in the Ile-de-France region (Greater Paris area), France. This dataset captures detailed daily mobility over a full week for 3,337 volunteer residents aged 16 to 80, collected betw…

Distributed Learning for Reliable and Timely Communication in 6G Industrial Subnetworks
Samira Abdelrahman, Hossam Farag, Gilberto Berardinelli
https://arxiv.org/abs/2506.11749

Distributed Learning for Reliable and Timely Communication in 6G Industrial Subnetworks
Emerging 6G industrial networks envision autonomous in-X subnetworks to support efficient and cost-effective short range, localized connectivity for autonomous control operations. Supporting timely transmission of event-driven, critical control traffic is challenging in such networks is challenging due to limited radio resources, dynamic device activity, and high mobility. In this paper, we propose a distributed, learning-based random access protocol that establishes implicit inter-subnetwork c…

Near-Field Sensing Enabled Predictive Beamforming: Fundamentals, Framework, and Opportunities
Hao Jiang, Zhaolin Wang, Yue Liu, Hyundong Shin, Arumugam Nallanathan, Yuanwei Liu
https://arxiv.org/abs/2506.09225

Near-Field Sensing Enabled Predictive Beamforming: Fundamentals, Framework, and Opportunities
The article proposes a novel near-field predictive beamforming framework for high-mobility wireless networks. Specifically, due to the spherical waves and non-uniform Doppler frequencies brought by the near-field region, the new ability of full-dimensional location and velocity sensing is characterized. Building on this foundation, the near-field predictive beamforming framework is proposed to proactively design beamformers for mobility users following arbitrary trajectories. Compared to the co…

EqualMotion: Accessible Motion Capture for the Creative Industries
Clarice Hilton, Kat Hawkins, Phill Tew, Freddie Collins, Seb Madgwick, Dominic Potts, Tom Mitchell
https://arxiv.org/abs/2507.08744

EqualMotion: Accessible Motion Capture for the Creative Industries
Motion capture technologies are increasingly used in creative and performance contexts but often exclude disabled practitioners due to normative assumptions in body modeling, calibration, and avatar representation. EqualMotion introduces a body-agnostic, wearable motion capture system designed through a disability-centred co-design approach. By enabling personalised calibration, integrating mobility aids, and adopting an inclusive visual language, EqualMotion supports diverse body types and mov…

Three new NERDS publications: Collective action, wildfire smoke, and urban mobility
https://nerds.itu.dk/2025/06/20/three-new-nerds-publications-collective-action-wildfire-smoke-and-urban-mobility/

On expected #V2G returns: “Given the Netherlands’ more strained grid, Faton believes savings will be even higher there.”
Tough bet in a country where grid operators provide no financial incentives to residential customers to shift demand, let alone support the local grid with V2G.

'Utrecht Energized' launched: How bidirectional charging is set to make the breakthrough - electrive.com
Bidirectional charging is often hailed as the holy grail of e-mobility. The batteries of electric cars are not only used for driving but can also power homes

Can Movable Antenna-enabled Micro-Mobility Replace UAV-enabled Macro-Mobility? A Physical Layer Security Perspective
Kaixuan Li, Kan Yu, Dingyou Ma, Yujia Zhao, Xiaowu Liu, Qixun Zhang, ZHiyong Feng
https://arxiv.org/abs/2506.19456

Can Movable Antenna-enabled Micro-Mobility Replace UAV-enabled Macro-Mobility? A Physical Layer Security Perspective
This paper investigates the potential of movable antenna (MA)-enabled micro-mobility to replace UAV-enabled macro-mobility for enhancing physical layer security (PLS) in air-to-ground communications. While UAV trajectory optimization offers high flexibility and Line-of-Sight (LoS) advantages, it suffers from significant energy consumption, latency, and complex trajectory optimization. Conversely, MA technology provides fine-grained spatial reconfiguration (antenna positioning within a confined …

Just a few days left until Berlin Buzzwords 2025!
If you're attending and require a wheelchair or have any mobility needs, please inform us in advance at info@berlinbuzzwords.de. This helps us ensure our team is prepared to provide the best possible support and assistance.
Haven't got your ticket yet? Get your Last Minute Ticket or Online Ticket now:

Tickets
Join us for two days of exciting talks, workshops and discussions, and of course our barcamp on Sunday! Berlin Buzzwords will take place as a hybrid conference online and in our venue Kulturbrauerei in Berlin.

Electron mobility in AlN from first principles
Amanda Wang, Nick Pant, Woncheol Lee, Jie-Cheng Chen, Feliciano Giustino, Emmanouil Kioupakis
https://arxiv.org/abs/2506.09240

Electron mobility in AlN from first principles
Aluminum nitride is a promising ultra-wide band gap semiconductor for optoelectronics and power electronics. However, its practical applications have been limited by challenges with doping and achieving high electrical conductivity. Recent advances in crystal quality and defect control have led to improvements in experimentally measured mobilities. In this work, we apply first-principles calculations to determine the upper limits of the electron mobility in AlN as a function of temperature, dop…

From Translink
A new era for SkyTrain: The Mark V rolls into service on the Expo Line
The first of 47 new trains that will bring more space, comfort, and modern design to customers across Metro Vancouver.
Wider aisles with more standing room, handrails and new leaning pads
Spacious multi-use areas for bikes, luggage, strollers, wheelchairs, & other mobility devices
Enhanced safety and accessibility with visual door closure and emergency braking indicators

The Secure Overview and Analysis OF 3GPP MAC CE
Jin Cao, Yuanyuan Yang, Ruhui Ma, Sheng Li, Hui Li
https://arxiv.org/abs/2506.09502 https://

The Secure Overview and Analysis OF 3GPP MAC CE
To more effectively control and allocate network resources, MAC CE has been introduced into the network protocol, which is a type of control signaling located in the MAC layer. Since MAC CE lacks encryption and integrity protection mechanisms provided by PDCP, the control signaling carried by MAC CE is vulnerable to interception or tampering by attackers during resource scheduling and allocation. Currently, the 3GPP has analyzed the security risks of Layer 1/Layer 2 Triggered Mobility (LTM), wh…

Towards Continuous Home Cage Monitoring: An Evaluation of Tracking and Identification Strategies for Laboratory Mice
Juan Pablo Oberhauser, Daniel Grzenda
https://arxiv.org/abs/2507.07929

Towards Continuous Home Cage Monitoring: An Evaluation of Tracking and Identification Strategies for Laboratory Mice
Continuous, automated monitoring of laboratory mice enables more accurate data collection and improves animal welfare through real-time insights. Researchers can achieve a more dynamic and clinically relevant characterization of disease progression and therapeutic effects by integrating behavioral and physiological monitoring in the home cage. However, providing individual mouse metrics is difficult because of their housing density, similar appearances, high mobility, and frequent interactions.…

Dynamic Campus Origin-Destination Mobility Prediction using Graph Convolutional Neural Network on WiFi Logs
Godwin Badu-Marfo, Bilal Farooq
https://arxiv.org/abs/2507.05507

Dynamic Campus Origin-Destination Mobility Prediction using Graph Convolutional Neural Network on WiFi Logs
We present an integrated graph-based neural networks architecture for predicting campus buildings occupancy and inter-buildings movement at dynamic temporal resolution that learns traffic flow patterns from Wi-Fi logs combined with the usage schedules within the buildings. The relative traffic flows are directly estimated from the WiFi data without assuming the occupant behaviour or preferences while maintaining individual privacy. We formulate the problem as a data-driven graph structure repre…

A Taylor Series Approximation Model for Characterizing the Output Resistance of a GFET
Xiomara Ribero-Figueroa, Anibal Pacheco-Sanchez, Tzu-Jung Huang, David Jim\'enez, Ivan Puchades, Reydezel Torres-Torres
https://arxiv.org/abs/2506.10592

A Taylor Series Approximation Model for Characterizing the Output Resistance of a GFET
The mobility-degradation-based model for the drain-to-source or output resistance of a graphene field-effect-transistor is linearized here using a Taylor series approximation. This simplification is shown to be valid from magnitudes of the gate voltage not significantly higher than the Dirac voltage, and it enables the analytical determination of the transconductance parameter, the voltage related to residual charges, and a bias-independent series resistance of the GFET. Furthermore, a continuo…

This https://arxiv.org/abs/2505.20929 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Two-step dimensionality reduction of human mobility data: From potential landscapes to spatiotemporal insights
Understanding the spatiotemporal patterns of human mobility is crucial for addressing societal challenges, such as epidemic control and urban transportation optimization. Despite advancements in data collection, the complexity and scale of mobility data continue to pose significant analytical challenges. Existing methods often result in losing location-specific details and fail to fully capture the intricacies of human movement. This study proposes a two-step dimensionality reduction framework …

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems
Xinling Li, Xiaotong Guo, Qingyi Wang, Gioele Zardini, Jinhua Zhao
https://arxiv.org/abs/2507.04520

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems
Autonomous Mobility-on-Demand (AMoD) services offer an opportunity for improving passenger service while reducing pollution and energy consumption through effective vehicle coordination. A primary challenge in the autonomous fleets coordination is to tackle the inherent issue of supply-demand imbalance. A key strategy in resolving this is vehicle rebalancing, strategically directing idle vehicles to areas with anticipated future demand. Traditional research focuses on deterministic optimization…

A Systematic Mapping Study on Software Architecture for AI-based Mobility Systems
Amra Ramic, Stefan Kugele
https://arxiv.org/abs/2506.01595 https://

A Systematic Mapping Study on Software Architecture for AI-based Mobility Systems
Background: Due to their diversity, complexity, and above all importance, safety-critical and dependable systems must be developed with special diligence. Criticality increases as these systems likely contain artificial intelligence (AI) components known for their uncertainty. As software and reference architectures form the backbone of any successful system, including safety-critical dependable systems with learning-enabled components, choosing the suitable architecture that guarantees safety …

The impact of extracurricular education on socioeconomic mobility in Japan: an application of causal machine learning
Yang Qiang
https://arxiv.org/abs/2506.07421

The impact of extracurricular education on socioeconomic mobility in Japan: an application of causal machine learning
This paper explores the socioeconomic impacts of extracurricular education, specifically private tutoring, on social mobility in Japan. Using data from the 2015 National Survey on Social Stratification and Social Mobility (SSM), we employed a causal machine learning approach to evaluate this educational intervention on income, educational attainment, and occupational prestige. Our research suggests that while shadow education holds the potential for positive socioeconomic impacts, its benefits …

Our chapter on Urban #mobility is finally published, in the great Compendium of Urban Complexity!
https://link.springer.com/chapter/10.1007/978-3-031-82666-5_4…

Urban Mobility
In this chapter, we discuss urban mobility from a complexity science perspective. First, we give an overview of the datasets that enable this approach, such as mobile phone records, location-based social network traces, or GPS trajectories from sensors installed on...

Enhanced V2X Communication Using Game-Theory Based Adaptive MAC Protocols
Dhrumil Bhatt, Nirbhay Singhal
https://arxiv.org/abs/2506.09817 https://

Enhanced V2X Communication Using Game-Theory Based Adaptive MAC Protocols
This paper presents an enhanced Vehicle-to-Everything (V2X) communication system featuring adaptive Medium Access Control (MAC) using game theory. Our approach integrates dynamic transmission power control, dynamic beacon rates, contention window adaptation, and implicit acknowledgment mechanisms within a Manhattan-like grid-based mobility scenario. Simulations are conducted in a circular coverage area, incorporating refined signal propagation models and probabilistic vehicle mobility with boun…

A Service Architecture for Dataspaces
Benedikt T. Arnold, Christoph Lange, Christina Gillmann, Stefan Decker
https://arxiv.org/abs/2507.07979 https://

A Service Architecture for Dataspaces
Dataspaces are designed to support sovereign, trusted and decentralized data exchange between participants forming an ecosystem. They are standardized by initiatives such as the International Data Spaces Association or Gaia-X and have gained adoption in several domains such as mobility, manufacturing, tourism or culture. In dataspaces, participants use connectors to communicate peer-to-peer. The Eclipse Dataspace Components (EDC) Connector is a broadly adopted, open-source implementation that a…

Reducing Motion Sickness in Passengers of Autonomous Personal Mobility Vehicles by Presenting a Driving Path
Yuya Ide, Hailong Liu, Takahiro Wada
https://arxiv.org/abs/2506.23457 …

Reducing Motion Sickness in Passengers of Autonomous Personal Mobility Vehicles by Presenting a Driving Path
Autonomous personal mobility vehicles (APMVs) are small mobility devices designed for individual automated transportation in shared spaces. In such environments, frequent pedestrian avoidance maneuvers may cause rapid steering adjustments and passive postural responses from passengers, thereby increasing the risk of motion sickness. This study investigated the effects of providing path information on 16 passengers' head movement behavior and motion sickness while riding an APMV. Through a contr…

This https://arxiv.org/abs/2504.19203 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Improving Generalization in MRI-Based Deep Learning Models for Total Knee Replacement Prediction
Knee osteoarthritis (KOA) is a common joint disease that causes pain and mobility issues. While MRI-based deep learning models have demonstrated superior performance in predicting total knee replacement (TKR) and disease progression, their generalizability remains challenging, particularly when applied to imaging data from different sources. In this study, we have shown that replacing batch normalization with instance normalization, using data augmentation, and applying contrastive loss improve…

Ambiguity Function Analysis of AFDM Signals for Integrated Sensing and Communications
Haoran Yin, Yanqun Tang, Yuanhan Ni, Zulin Wang, Gaojie Chen, Jun Xiong, Kai Yang, Marios Kountouris, Yong Liang Guan, Yong Zeng
https://arxiv.org/abs/2507.08293

Ambiguity Function Analysis of AFDM Signals for Integrated Sensing and Communications
Affine frequency division multiplexing (AFDM) is a promising chirp-based waveform with high flexibility and resilience, making it well-suited for next-generation wireless networks, particularly in high-mobility scenarios. In this paper, we investigate the ambiguity functions (AFs) of AFDM signals, which fundamentally characterize their range and velocity estimation capabilities in both monostatic and bistatic settings. Specifically, we first derive the auto-ambiguity function (AAF) of an AFDM c…

Vector fields as a framework for modelling the mobility of commodities
Sima Farokhnejad, Ang\'elica S. da Mata, Mariana Macedo, Ronaldo Menezes
https://arxiv.org/abs/2506.02047

Vector fields as a framework for modelling the mobility of commodities
Commodities, including livestock, flow through trade networks globally, with trajectories that can be effectively captured using mobility pattern modelling approaches similar to those used in human mobility studies. However, documenting these movements comprehensively presents significant challenges; it can be unrealistic, costly, and may conflict with data protection regulations. As a result, mobility datasets typically contain uncertainties due to sparsity and limitations in data collection. …

Soll keiner sagen, dass das nicht auch im Rest von Europa möglich wäre. So man wollte …
Norway Reached 96.9% Market Share For EVs In June - Slashdot https://tech.slashdot.org/story/25/07/03/2341234/norway-reached-969-market-share-fo…

GATSim: Urban Mobility Simulation with Generative Agents
Qi Liu, Can Li, Wanjing Ma
https://arxiv.org/abs/2506.23306 https://arxiv.or…

GATSim: Urban Mobility Simulation with Generative Agents
Traditional agent-based urban mobility simulations rely on rigid rule-based systems that fail to capture the complexity, adaptability, and behavioral diversity characteristic of human travel decision-making. Recent advances in large language models and AI agent technology offer opportunities to create agents with reasoning capabilities, persistent memory, and adaptive learning mechanisms. We propose GATSim (Generative-Agent Transport Simulation), a novel framework that leverages these advances …

Optimal Estimation of Two-Way Effects under Limited Mobility
Xu Cheng, Sheng Chao Ho, Frank Schorfheide
https://arxiv.org/abs/2506.21987 https://

Optimal Estimation of Two-Way Effects under Limited Mobility
We propose an empirical Bayes estimator for two-way effects in linked data sets based on a novel prior that leverages patterns of assortative matching observed in the data. To capture limited mobility we model the bipartite graph associated with the matched data in an asymptotic framework where its Laplacian matrix has small eigenvalues that converge to zero. The prior hyperparameters that control the shrinkage are determined by minimizing an unbiased risk estimate. We show the proposed empiric…

Anomalous current fluctuations and mobility-driven clustering
Tanmoy Chakraborty, Punyabrata Pradhan
https://arxiv.org/abs/2506.00949 https://

Anomalous current fluctuations and mobility-driven clustering
We study steady-state current fluctuations in hardcore lattice gases on a ring of $L$ sites, where $N$ particles perform symmetric, {\it extended-ranged} hopping. The hop length is a random variable depending on a length scale $l_0$ (hopping range) and the inter-particle gap. The systems have mass-conserving dynamics with global density $ρ= N/L$ fixed, but violate detailed balance. We consider two analytically tractable cases: (i) $l_0 = 2$ (finite-ranged) and (ii) $l_0 \to \infty$ (infinite-r…

🇪🇺: #AFIR "Operators of publicly accessible recharging points shall not discriminate, through the prices charged, between end users and mobility service providers or between different mobility service providers."
🇩🇪: Hahaha, catch me if you can!

If you're at #AGIT2025, I'd love to see you at our #MobilityDataScience workshop focused on #PublicTransport tomorrow morning 🌄
09:00-10:15 Session 1A: WS: Mobility Data Sc…

Mobility edges and fractal states in quasiperiodic Gross-Pitaevskii chains
Oleg I. Utesov, Yeongjun Kim, Sergej Flach
https://arxiv.org/abs/2506.06642 http…

Mobility edges and fractal states in quasiperiodic Gross-Pitaevskii chains
We explore properties of a Gross-Pitaevskii chain subject to an incommensurate periodic potential, i.e., a nonlinear Aubry-Andre model. We show that the condensate crucially impacts the properties of the elementary excitations. In contrast to the conventional linear Aubry-Andre model, the boundary between localized and extended states (mobility edge) exhibits nontrivial branching. For instance, in the high-density regime, tongues of extended phases at intermediate energies penetrate the domain …

The Riemann problem for three-phase foam flow in porous media
Luis Fernando Lozano, Grigori Chapiro, Dan Marchesin
https://arxiv.org/abs/2506.08152 https:/…

The Riemann problem for three-phase foam flow in porous media
Gas injection in the context of the three-phase flow in porous media appears in applications such as Enhanced Oil Recovery, aquifer remediation, and carbon capture, utilization, and storage (CCUS). In general, this technique suffers from a difficulty related to excessive gas mobility, which can be circumvented by using foam. This study addresses the non-linear system of differential equations describing the three-phase foam flow based on Corey relative permeability functions. A major obstacle i…

How can #ActivityBasedModels support #ActiveTravel & innovative mobility services? 🚶 🚴 🚌
Webinar of the European Association for Activity-Based Modelling #EAABM on 14 May (14:00–…

Activities - EAABM
Overview EAABM organises webinars, in which models, challenges and applications are discussed. Furthermore, EAABM organises bi-monthly meetings which typically follow this structure: Introduction of new members Spotlight session organised by one committee. Updates from each committee Miscellaneous Outlook to future activities While these meetings are typically

This https://arxiv.org/abs/2409.17469 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

VertiSelector: Automatic Curriculum Learning for Wheeled Mobility on Vertically Challenging Terrain
Reinforcement Learning (RL) has the potential to enable extreme off-road mobility by circumventing complex kinodynamic modeling, planning, and control by simulated end-to-end trial-and-error learning experiences. However, most RL methods are sample-inefficient when training in a large amount of manually designed simulation environments and struggle at generalizing to the real world. To address these issues, we introduce VertiSelector (VS), an automatic curriculum learning framework designed to …

High-mobility heavy quasiparticles in a van der Waals antiferromagnetic dense Kondo lattice CeTe$_3$
Hai Zeng, Yang Zhang, Bingke Ji, Jiaqiang Cai, Shuo Zou, Zhuo Wang, Chao Dong, Kangjian Luo, Yang Yuan, Kai Wang, Jinglei Zhang, Chuanyin Xi, Junfeng Wang, Yaomin Dai, Jing Li, Yongkang Luo
https://arxiv.org/abs/2506.23653…

High-mobility heavy quasiparticles in a van der Waals antiferromagnetic dense Kondo lattice CeTe$_3$
Two-dimensional van der Waals (vdW) materials exhibit high carrier mobility and tunability, making them suitable for low-power, high-performance electronic and spintronic applications. Incorporating narrow-band electronic correlation effects could further promote tunability, though mass renormalization may impact carrier mobility. It is therefore challenging to identify a vdW material with both high mobility and strong correlation. Herein, by a combination of optical spectroscopy and high-field…

Sphereabout: A Spherical Intersection Design for Networked Urban Air Mobility
Farzan Moosavi, Bilal Farooq
https://arxiv.org/abs/2507.01610 https://…

Sphereabout: A Spherical Intersection Design for Networked Urban Air Mobility
Urban aerial mobility is rapidly expanding, specifically on-demand Unmanned Aerial Vehicle (UAV) delivery services in urban environments. This necessitates management of the low-altitude airspace network to ensure smooth and safe traffic throughput. This study introduces a novel three-dimensional aerial network design inspired by a terrestrial transportation graph network for UAV networked mobility. Utilizing two-way tube corridors for node-to-node delivery and a spherical roundabout model, as …

Beyond Distance: Mobility Neural Embeddings Reveal Visible and Invisible Barriers in Urban Space
Guangyuan Weng, Minsuk Kim, Yong-Yeol Ahn, Esteban Moro
https://arxiv.org/abs/2506.24061

Beyond Distance: Mobility Neural Embeddings Reveal Visible and Invisible Barriers in Urban Space
Human mobility in cities is shaped not only by visible structures such as highways, rivers, and parks but also by invisible barriers rooted in socioeconomic segregation, uneven access to amenities, and administrative divisions. Yet identifying and quantifying these barriers at scale and their relative importance on people's movements remains a major challenge. Neural embedding models, originally developed for language, offer a powerful way to capture the complexity of human mobility from large-…

Probably a good day 🥵 to remind of our CoolWalks study: https://www.nature.com/articles/s41598-025-97200-2
- Above all, stop burning fossil fuels
- Buildings (and trees) cast a lot of shade in cities. We systematically quantify the benefits for 🚶🚴
- Make sha…

CoolWalks for active mobility in urban street networks - Scientific Reports
Walking is the most sustainable form of urban mobility, but is compromised by uncomfortable or unhealthy sun exposure, which is an increasing problem due to global warming. Shade from buildings can provide cooling and protection for pedestrians, but the extent of this potential benefit is unknown. Here we explore the potential for shaded walking, using building footprints and street networks from both synthetic and real cities. We introduce a route choice model with a sun avoidance parameter $$…

This https://arxiv.org/abs/2406.05769 has been replaced.
initial toot: https://mastoxiv.page/@a…

Integrative Mobility Model For Grain-Boundary-Limited Transport In Thermoelectric Compounds
Grain-boundary-limited charge transport remains a key bottleneck in polycrystalline thermoelectric materials, where reduced carrier mobility degrades electrical conductivity and suppresses the power factor. Here we present a semi-empirical mobility model that integrates three dominant grain-boundary mechanisms: (i) weighted mobility linked to carrier effective mass and concentration, (ii) thermionic emission across grain-boundary barriers, and (iii) geometric suppression arising from a finite m…

Blockchain and Edge Computing Nexus: A Large-scale Systematic Literature Review
Zeinab Nezami, Zhuolun Li, Chuhao Qin, Fatemeh Banaie, Rabiya Khalid, Evangelos Pournaras
https://arxiv.org/abs/2506.08636

Blockchain and Edge Computing Nexus: A Large-scale Systematic Literature Review
Blockchain and edge computing are two instrumental paradigms of decentralized computation, driving key advancements in Smart Cities applications such as supply chain, energy and mobility. Despite their unprecedented impact on society, they remain significantly fragmented as technologies and research areas, while they share fundamental principles of distributed systems and domains of applicability. This paper introduces a novel and large-scale systematic literature review on the nexus of blockch…

Teaching Cars to Drive: Spotlight on Connected and Automated Vehicles
Filippos N. Tzortzoglou, Andreas A. Malikopoulos
https://arxiv.org/abs/2507.01211 htt…

Teaching Cars to Drive: Spotlight on Connected and Automated Vehicles
In recent decades, society has witnessed significant advancements in emerging mobility systems. These systems refer to transportation solutions that incorporate digital technologies, automation, connectivity, and sustainability to create safer, more efficient, and user-centered mobility. Examples include connected and automated vehicles (CAVs), shared mobility services (car-pooling), electric vehicles, and mobility-as-a-service platforms. These innovations have the potential to greatly impact a…

This https://arxiv.org/abs/2503.12177 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

Open Wireless Digital Twin: End-to-End 5G Mobility Emulation in O-RAN Framework
This paper presents an end-to-end wireless digital twin platform constructed using open-source software and open data to enhance the evaluation of mobile communication systems. The proposed open wireless digital twin (OWDT) integrates OpenAirInterface (OAI) for 5G NR protocol stack emulation and NVIDIA Sionna RT for high-resolution ray tracing based radio propagation modeling. This integration enables realistic emulation of vehicular mobility scenarios, leveraging real-world geographic and buil…

Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places
Xinglei Wang, Tao Cheng, Stephen Law, Zichao Zeng, Ilya Ilyankou, Junyuan Liu, Lu Yin, Weiming Huang, Natchapon Jongwiriyanurak
https://arxiv.org/abs/2506.14070…

Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places
Predicting individuals' next locations is a core task in human mobility modelling, with wide-ranging implications for urban planning, transportation, public policy and personalised mobility services. Traditional approaches largely depend on location embeddings learned from historical mobility patterns, limiting their ability to encode explicit spatial information, integrate rich urban semantic context, and accommodate previously unseen locations. To address these challenges, we explore the appl…

Breaking Anonymity at Scale: Re-identifying the Trajectories of 100K Real Users in Japan
Abhishek Kumar Mishra, Mathieu Cunche, Heber H. Arcolezi
https://arxiv.org/abs/2506.05611 …

Breaking Anonymity at Scale: Re-identifying the Trajectories of 100K Real Users in Japan
Mobility traces represent a critical class of personal data, often subjected to privacy-preserving transformations before public release. In this study, we analyze the anonymized Yjmob100k dataset, which captures the trajectories of 100,000 users in Japan, and demonstrate how existing anonymization techniques fail to protect their sensitive attributes. We leverage population density patterns, structural correlations, and temporal activity profiles to re-identify the dataset's real-world locatio…

A causal evaluation of Bogota's cable car illustrates the transformative potential of mobile phone data for policy analysis
Elena Lutz, Sam Heroy, David Kaufmann, Neave O'Clery
https://arxiv.org/abs/2506.09311

A causal evaluation of Bogota's cable car illustrates the transformative potential of mobile phone data for policy analysis
Transport infrastructure is vital to the functioning of cities. However, assessing the impact of transport policies on urban mobility and behaviour is often costly and time-consuming, particularly in low-data environments. We demonstrate how GPS location data derived from smartphones, available at high spatial granularity and in near real time, can be used to conduct causal impact evaluation, capturing broad mobility and interaction patterns beyond the scope of traditional sources such as surve…

Self-Wearing Adaptive Garments via Soft Robotic Unfurling
Nam Gyun Kim, William E. Heap, Yimeng Qin, Elvy B. Yao, Jee-Hwan Ryu, Allison M. Okamura
https://arxiv.org/abs/2507.07221

Self-Wearing Adaptive Garments via Soft Robotic Unfurling
Robotic dressing assistance has the potential to improve the quality of life for individuals with limited mobility. Existing solutions predominantly rely on rigid robotic manipulators, which have challenges in handling deformable garments and ensuring safe physical interaction with the human body. Prior robotic dressing methods require excessive operation times, complex control strategies, and constrained user postures, limiting their practicality and adaptability. This paper proposes a novel s…

From Autonomy to Agency: Agentic Vehicles for Human-Centered Mobility Systems
Jiangbo Yu
https://arxiv.org/abs/2507.04996 https://arx…

From Autonomy to Agency: Agentic Vehicles for Human-Centered Mobility Systems
Autonomy, from the Greek autos (self) and nomos (law), refers to the capacity to operate according to internal rules without external control. Accordingly, autonomous vehicles (AuVs) are defined as systems capable of perceiving their environment and executing preprogrammed tasks independently of external input. However, both research and real-world deployments increasingly showcase vehicles that demonstrate behaviors beyond this definition (including the SAE levels 1 to 6), such as interaction …

Towards an Application-Centric Benchmark Suite for Spatiotemporal Database Systems
Tim C. Rese, David Bermbach
https://arxiv.org/abs/2507.05869 https://

Towards an Application-Centric Benchmark Suite for Spatiotemporal Database Systems
Spatiotemporal data play a key role for mobility-based applications and are their produced volume is growing continuously, among others, due to the increased availability of IoT devices. When working with spatiotemporal data, developers rely on spatiotemporal database systems such as PostGIS or MobilityDB. For better understanding their quality of service behavior and then choosing the best system, benchmarking is the go-to approach. Unfortunately, existing work in this field studies only…

The program of the 25th Swiss Transport Research Conference (#STRC25) is now online. There will be 3 papers/presentations by employees of the Swiss Federal Railways (SBB):
👉 Quantifying Future Mobility: Scenario-Based Analysis with Agent-Based Modeling
👉 Integrating Machine Learning and MATSim for High-Granularity Passenger Load Predictions at SBB
👉 Differentiation of Modal Preferen…

On June 4th, 2025, I will be speaking at @… in Berlin about open human mobility data in Spain and the EU, and its practical and scientific applications. #geomobBER . Attendance is free, just register at

June 4th, 2025 #geomobBER
Geomob - geoinnovation for fun or profit

This https://arxiv.org/abs/2505.20929 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Two-step dimensionality reduction of human mobility data: From potential landscapes to spatiotemporal insights
Understanding the spatiotemporal patterns of human mobility is crucial for addressing societal challenges, such as epidemic control and urban transportation optimization. Despite advancements in data collection, the complexity and scale of mobility data continue to pose significant analytical challenges. Existing methods often result in losing location-specific details and fail to fully capture the intricacies of human movement. This study proposes a two-step dimensionality reduction framework …

Canine Clinical Gait Analysis for Orthopedic and Neurological Disorders: An Inertial Deep-Learning Approach
Netta Palez, L\'eonie Stra{\ss}, Sebastian Meller, Holger Volk, Anna Zamansky, Itzik Klein
https://arxiv.org/abs/2507.05671

Canine Clinical Gait Analysis for Orthopedic and Neurological Disorders: An Inertial Deep-Learning Approach
Canine gait analysis using wearable inertial sensors is gaining attention in veterinary clinical settings, as it provides valuable insights into a range of mobility impairments. Neurological and orthopedic conditions cannot always be easily distinguished even by experienced clinicians. The current study explored and developed a deep learning approach using inertial sensor readings to assess whether neurological and orthopedic gait could facilitate gait analysis. Our investigation focused on opt…

Exploring the effect of spatial scales in studying urban mobility pattern
Hoai Nguyen Huynh
https://arxiv.org/abs/2506.16762 https://…

Exploring the effect of spatial scales in studying urban mobility pattern
Urban mobility plays a crucial role in the functioning of cities, influencing economic activity, accessibility, and quality of life. However, the effectiveness of analytical models in understanding urban mobility patterns can be significantly affected by the spatial scales employed in the analysis. This paper explores the impact of spatial scales on the performance of the gravity model in explaining urban mobility patterns using public transport flow data in Singapore. The model is evaluated ac…

A nice article was just published in our Focus Issue on Urban Mobility and Green Transportation in Sustainable Cities:
Active travel modelling: a methodological approach to networks for walking and cycling commuting analysis
https://iopscience.iop.org/article/10.10…

Timing advance and Doppler shift estimation in LEO satellite networks: A recursive Bayesian study
Ashutosh Balakrishnan, Pierre Popineau, Philippe Martins
https://arxiv.org/abs/2506.08739

Timing advance and Doppler shift estimation in LEO satellite networks: A recursive Bayesian study
Low earth orbit (LEO) satellite based non-terrestrial networks are a key theme of the upcoming 6G networks. These space networks are proposed to be used for high-mobility use-cases like airplanes and vehicles. The initial access process between a base station (BS) and a user equipment (UE) involves timing advance (TA) value computation at the BS, requiring precise BS location information at the UE. It becomes more challenging in LEO satellite networks due to the fast moving LEO satellites and l…

Deploying SICNav in the Field: Safe and Interactive Crowd Navigation using MPC and Bilevel Optimization
Sepehr Samavi, Garvish Bhutani, Florian Shkurti, Angela P. Schoellig
https://arxiv.org/abs/2506.08851

Deploying SICNav in the Field: Safe and Interactive Crowd Navigation using MPC and Bilevel Optimization
Safe and efficient navigation in crowded environments remains a critical challenge for robots that provide a variety of service tasks such as food delivery or autonomous wheelchair mobility. Classical robot crowd navigation methods decouple human motion prediction from robot motion planning, which neglects the closed-loop interactions between humans and robots. This lack of a model for human reactions to the robot plan (e.g. moving out of the way) can cause the robot to get stuck. Our proposed …

Offline Reinforcement Learning for Mobility Robustness Optimization
Pegah Alizadeh, Anastasios Giovanidis, Pradeepa Ramachandra, Vasileios Koutsoukis, Osama Arouk
https://arxiv.org/abs/2506.22793

Offline Reinforcement Learning for Mobility Robustness Optimization
In this work we revisit the Mobility Robustness Optimisation (MRO) algorithm and study the possibility of learning the optimal Cell Individual Offset tuning using offline Reinforcement Learning. Such methods make use of collected offline datasets to learn the optimal policy, without further exploration. We adapt and apply a sequence-based method called Decision Transformers as well as a value-based method called Conservative Q-Learning to learn the optimal policy for the same target reward as t…

Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning
Hongbao Li, Ziye Jia, Sijie He, Kun Guo, Qihui Wu
https://arxiv.org/abs/2507.05722

Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning
With the emergence of compute-intensive and delay-sensitive applications in vehicular networks, unmanned aerial vehicles (UAVs) have emerged as a promising complement for vehicular edge computing due to the high mobility and flexible deployment. However, the existing UAV-assisted offloading strategies are insufficient in coordinating heterogeneous computing resources and adapting to dynamic network conditions. Hence, this paper proposes a dual-layer UAV-assisted edge computing architecture base…

From Points to Places: Towards Human Mobility-Driven Spatiotemporal Foundation Models via Understanding Places
Mohammad Hashemi, Andreas Zufle
https://arxiv.org/abs/2506.14570

From Points to Places: Towards Human Mobility-Driven Spatiotemporal Foundation Models via Understanding Places
Capturing human mobility is essential for modeling how people interact with and move through physical spaces, reflecting social behavior, access to resources, and dynamic spatial patterns. To support scalable and transferable analysis across diverse geographies and contexts, there is a need for a generalizable foundation model for spatiotemporal data. While foundation models have transformed language and vision, they remain limited in handling the unique challenges posed by the spatial, tempora…

ULC: A Unified and Fine-Grained Controller for Humanoid Loco-Manipulation
Wandong Sun, Luying Feng, Baoshi Cao, Yang Liu, Yaochu Jin, Zongwu Xie
https://arxiv.org/abs/2507.06905

ULC: A Unified and Fine-Grained Controller for Humanoid Loco-Manipulation
Loco-Manipulation for humanoid robots aims to enable robots to integrate mobility with upper-body tracking capabilities. Most existing approaches adopt hierarchical architectures that decompose control into isolated upper-body (manipulation) and lower-body (locomotion) policies. While this decomposition reduces training complexity, it inherently limits coordination between subsystems and contradicts the unified whole-body control exhibited by humans. We demonstrate that a single unified policy …

This https://arxiv.org/abs/2505.16016 has been replaced.
initial toot: https://mastoxiv.page/@a…

Electronic mobility, doping, and defects in epitaxial $\mathrm{BaZrS_3}$ chalcogenide perovskite thin films
We present the electronic transport properties of $\mathrm{BaZrS_3}$ (BZS) thin films grown epitaxially by gas-source molecular beam epitaxy (MBE). We observe n-type behavior in all samples, with carrier concentration ranging from $4 \times 10^{18}$ to $4 \times 10^{20} \mathrm{cm^{-3}}$ at room temperature (RT). We observe a champion RT Hall mobility of 11.1 $\mathrm{cm^2V^{-1}s^{-1}}$, which is competitive with established thin-film photovoltaic (PV) absorbers. Temperature-dependent Hall mobi…

MOSE: A Novel Orchestration Framework for Stateful Microservice Migration at the Edge
Antonio Calagna, Yenchia Yu, Paolo Giaccone, Carla Fabiana Chiasserini
https://arxiv.org/abs/2506.09159

MOSE: A Novel Orchestration Framework for Stateful Microservice Migration at the Edge
Stateful migration has emerged as the dominant technology to support microservice mobility at the network edge while ensuring a satisfying experience to mobile end users. This work addresses two pivotal challenges, namely, the implementation and the orchestration of the migration process. We first introduce a novel framework that efficiently implements stateful migration and effectively orchestrates the migration process by fulfilling both network and application KPI targets. Through experiment…

Basis Expansion Extrapolation based Long-Term Channel Prediction for Massive MIMO OTFS Systems
Yanfeng Zhang, Xu Zhu, Yujie Liu, Yong Liang Guan, David Gonz\'alez G., Vincent K. N. Lau
https://arxiv.org/abs/2507.01445

Basis Expansion Extrapolation based Long-Term Channel Prediction for Massive MIMO OTFS Systems
Massive multi-input multi-output (MIMO) combined with orthogonal time frequency space (OTFS) modulation has emerged as a promising technique for high-mobility scenarios. However, its performance could be severely degraded due to channel aging caused by user mobility and high processing latency. In this paper, an integrated scheme of uplink (UL) channel estimation and downlink (DL) channel prediction is proposed to alleviate channel aging in time division duplex (TDD) massive MIMO-OTFS systems. …

This https://arxiv.org/abs/2302.14440 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Intergenerational Mobility Trends and the Changing Role of Female Labor
Using harmonized administrative data from Scandinavia, we find that intergenerational rank associations in income have increased uniformly across Sweden, Denmark, and Norway for cohorts born between 1951 and 1979. By gender, father-son mobility remains stable, while correlations for mothers and daughters rise. Similar patterns appear in US survey data, albeit with different timing. We show that the decline in income mobility reflects female income more accurately capturing underlying productivi…

Robust design of bicycle infrastructure networks
https://www.nature.com/articles/s41598-025-99976-9

Robust design of bicycle infrastructure networks - Scientific Reports
Promoting active mobility like cycling relies on the availability of well-connected, high-quality bicycle networks. However, expanding these networks over an extended planning horizon presents one of the most complex challenges in transport science. This complexity arises from the intricate interactions between infrastructure availability and usage, such as network spillover effects and mode choice substitutions. In this paper, we approach the problem from two perspectives: direct optimization …

Exploring Economic Sectoral Dynamics Through High-resolution Mobility Data
Timothy F Leslie, Hossein Amiri, Andreas Z\"ufle
https://arxiv.org/abs/2506.13985

Exploring Economic Sectoral Dynamics Through High-resolution Mobility Data
We present a comprehensive dataset capturing patterns of human mobility across the United States from January 2019 to January 2023, based on anonymized mobile device data. Aggregated weekly, the dataset reports visits, travel distances, and time spent at public locations organized by economic sector for approximately 12 million Points of Interest (POIs). This resource enables the study of how mobility and economic activity changed over time, particularly during major events such as the COVID-19…

Strain-tunable type-II to type-III & Gimbal nodal line transition in Imm2-phase of Cu$_2$SnS$_3$: An ab-initio study
Prakash Pandey, Sudhir K. Pandey
https://arxiv.org/abs/2507.07618

Strain-tunable type-II to type-III & Gimbal nodal line transition in Imm2-phase of Cu$_2$SnS$_3$: An ab-initio study
Topological nodal line semimetals (NLSMs) represent an intriguing quantum phase, opening new avenues in materials science for practical applications such as anisotropic transport devices, high-mobility conductors, unconventional thermoelectrics, and nonlinear optical devices. Recently, Cu$_2$SnS$_3$ has been theoretically proposed as a type-II NLSM, with its Fermi surface containing only one nodal ring. Here, we demonstrate how uniaxial, equi-biaxial, and equi-triaxial strains affect the nodal …

An Urban Multi-Operator QoE-Aware Dataset for Cellular Networks in Dense Environments
Muhammad Kabeer, Rosdiadee Nordin, Mehran Behjati, Farah Yasmin binti Mohd Shaharuddin
https://arxiv.org/abs/2506.22484

An Urban Multi-Operator QoE-Aware Dataset for Cellular Networks in Dense Environments
Urban cellular networks face complex performance challenges due to high infrastructure density, varied user mobility, and diverse service demands. While several datasets address network behaviour across different environments, there is a lack of datasets that captures user centric Quality of Experience (QoE), and diverse mobility patterns needed for efficient network planning and optimization solutions, which are important for QoE driven optimizations and mobility management. This study present…

Joint Beamforming and Position Optimization for Fluid STAR-RIS-NOMA Assisted Wireless Communication Systems
Yu Liu, Qu Luo, Gaojie Chen, Pei Xiao, Ahmed Elzanaty, Mohsen Khalily, Rahim Tafazolli
https://arxiv.org/abs/2507.06904

Joint Beamforming and Position Optimization for Fluid STAR-RIS-NOMA Assisted Wireless Communication Systems
To address the limitations of traditional reconfigurable intelligent surfaces (RIS) in spatial control capability, this paper introduces the concept of the fluid antenna system (FAS) and proposes a fluid simultaneously transmitting and reflecting RIS (FSTAR-RIS) assisted non-orthogonal multiple access (NOMA) multi-user communication system. In this system, each FSTAR-RIS element is capable of flexible mobility and can dynamically adjust its position in response to environmental variations, ther…

Replaced article(s) found for cs.RO. https://arxiv.org/list/cs.RO/new
[1/2]:
- On the Robotic Uncertainty of Fully Autonomous Traffic: From Stochastic Car-Following to Mobility...
Hangyu Li, Xiaotong Sun, Chenglin Zhuang, Xiaopeng Li

A global urban road network self-adaptive simplification workflow from traffic to spatial representation
https://www.nature.com/articles/s41597-025-05164-9
Data for 35 cities. Looks similar to the neatnet method

A global urban road network self-adaptive simplification workflow from traffic to spatial representation - Scientific Data
Urban road network is crucial for understanding and revealing the spatial logic of urban organization and evolution. However, existing urban road network datasets like OpenStreetMap are designed for traffic studies, treating each lane as a distinct spatial unit of mobility, which may not align with urban studies considering each road as an integration space for social and cultural dynamics. This study established a novel workflow to self-adaptively transform the global urban road network from t…

"Hi AirStar, Guide Me to the Badminton Court."
Ziqin Wang, Jinyu Chen, Xiangyi Zheng, Qinan Liao, Linjiang Huang, Si Liu
https://arxiv.org/abs/2507.04430

"Hi AirStar, Guide Me to the Badminton Court."
Unmanned Aerial Vehicles, operating in environments with relatively few obstacles, offer high maneuverability and full three-dimensional mobility. This allows them to rapidly approach objects and perform a wide range of tasks often challenging for ground robots, making them ideal for exploration, inspection, aerial imaging, and everyday assistance. In this paper, we introduce AirStar, a UAV-centric embodied platform that turns a UAV into an intelligent aerial assistant: a large language model a…

Analyzing Contact Patterns in Public Transportation Systems for Opportunistic Communication Services
Eduardo R. Manika, Emilio C. G. Wille, Joilson Alves Jr
https://arxiv.org/abs/2506.02217

Analyzing Contact Patterns in Public Transportation Systems for Opportunistic Communication Services
Vehicle mobility has a significant impact on wireless communication between vehicles (buses) in Public Transportation Systems (PTS). Nevertheless, the transportation literature does not provide satisfactory models for bus movements because they are influenced by a variety of factors (itineraries, timetables, etc.). Custom-made mobility models that take these issues into account require a great deal of effort and may render simulations unfeasible. This article considers a tool (EMMS) that automa…

How Long Can I Transmit? A Mobility Aware mmWave-based UAV Communication Framework
Shawon Mitra, Subhojit Sarkar, Sasthi C. Ghosh
https://arxiv.org/abs/2506.23755

How Long Can I Transmit? A Mobility Aware mmWave-based UAV Communication Framework
One primary focus of next generation wireless communication networks is the millimeterwave (mmWave) spectrum, typically considered in the 30 GHz to 300 GHz frequency range. Despite their promise of high data rates, mmWaves suffer from severe attenuation while passing through obstacles. Unmanned aerial vehicles (UAVs) have been proposed to offset this limitation on account of their additional degrees of freedom, which can be leveraged to provide line of sight (LoS) transmission paths. While some…