Transportation and Charging Schedule for Autonomous Electric Vehicle Riding-Sharing System Considering Battery Degradation

摘要: Autonomous electric vehicles (AEVs) can not only reduce urban traffic congestion and air pollution, but also solve the problem of passengers’ last kilometer through its flexible route design. For autonomous system, main challenges include two parts. First, Developing an effective transport strategy that enables to travel shortest distance meet needs is presented. Second, considering real-time electricity price battery degradation, making a reasonable vehicle-charging planning challenging. In this paper, we consider AEV charging together, aiming ensure long-term stable operation whole system. propose grouping algorithm divide all trip requests into several groups make sure every group satisfy constraints vehicle transportation, such as maximum passenger capacity. time slot, (TACP) actually described EVs assignment about providing service or getting charge electricity. However, for long-term, need be decided at current slot related past strategies, use multistage decision-making model formulate problem. Then, backward dynamic programming (BDPA) model. Finally, carry out simulation based on data New York City’s demand. The experimental results show our work well in AEVs