Dynamic Path-Planning and Charging Optimization for Autonomous Electric Vehicles in Transportation Networks

With the growing popularity of autonomous electric vehicles (AEVs), optimizing their path-planning and charging strategy has become a critical research area. However, dynamic nature transport networks presents significant challenge when ensuring efficient operation. The use vehicle-to-everything (V2X) communication in vehicular ad hoc (VANETs) been proposed to tackle this challenge. establishing paths with selection remain complex problems. In paper, we propose joint push–pull mode obtain real-time traffic conditions infrastructure information (i.e., stations energy segments). We also analyze relay multi-hop routing, considering factors such as link stability, vehicle distance, reputation values. Furthermore, formulate optimization problem based on minimize travel costs. Our algorithm enables AEVs services from conduct wireless via segments. present A* solve path-optimization path state charge is lower than threshold. Extensive simulations demonstrate that push-pull can provide up-to-date developed algorithms effectively reduce