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Adaptive Evolutionary Framework for Safe, Efficient, and Cooperative Autonomous Vehicle Interactions
Zhen Tian, Zhihao Lin
https://arxiv.org/abs/2509.07411 https://

Adaptive Evolutionary Framework for Safe, Efficient, and Cooperative Autonomous Vehicle Interactions
Modern transportation systems face significant challenges in ensuring road safety, given serious injuries caused by road accidents. The rapid growth of autonomous vehicles (AVs) has prompted new traffic designs that aim to optimize interactions among AVs. However, effective interactions between AVs remains challenging due to the absence of centralized control. Besides, there is a need for balancing multiple factors, including passenger demands and overall traffic efficiency. Traditional rule-ba…

Mean field limit for interacting systems on co-evolving networks
Sebastian Throm
https://arxiv.org/abs/2507.21312 https://arxiv.org/pdf/2507.21312

Mean field limit for interacting systems on co-evolving networks
Interacting particle systems are in frequent use to model collective behaviour in various situations and applications. For many systems, the interaction between the agents is restricted to an underlying network structure and often, the latter also evolves in time with its dynamics coupled to the evolution of the particles. Due to their relevance for applications such systems on adaptive or co-evolutionary networks have received increasing interest in recent years. In particular, a fundamental q…