Abstract
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 electric vehicles (AEVs) system, the main challenges include two parts. First, Developing an effective transport strategy that enables vehicles to travel the shortest distance to meet passengers’ needs is presented. Second, considering the real-time electricity price and battery degradation, making a reasonable vehicle-charging planning is challenging. In this paper, we consider the AEV transport and charging together, aiming to ensure the long-term stable operation of the whole system. First, we propose a grouping algorithm to divide all the trip requests into several groups of trip requests and make sure every group satisfy constraints of vehicle transportation, such as the maximum passenger capacity. For a time slot, the transport and charging problem (TACP) actually is described as an EVs assignment problem about providing trip service or getting charge electricity. However, for a long-term, the strategy need to be decided at current time slot is related to the past strategies, we use a multistage decision-making model to formulate the transport and charging problem. Then, we use a backward dynamic programming algorithm (BDPA) to solve the multistage decision-making model. Finally, we carry out the simulation based on the data of New York City’s passenger demand. The experimental results show that our model can work well in AEVs system.
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Acknowledgments
This work is supported by the National Natural Science Foundation of China (Grant No. 61802097), and the Project of Qianjiang Talent (Grant No. QJD1802020).
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Li, M., Tang, T., Chen, Y., Bhuiyan, Z.A. (2019). Transportation and Charging Schedule for Autonomous Electric Vehicle Riding-Sharing System Considering Battery Degradation. In: Wang, G., Bhuiyan, M.Z.A., De Capitani di Vimercati, S., Ren, Y. (eds) Dependability in Sensor, Cloud, and Big Data Systems and Applications. DependSys 2019. Communications in Computer and Information Science, vol 1123. Springer, Singapore. https://doi.org/10.1007/978-981-15-1304-6_17
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DOI: https://doi.org/10.1007/978-981-15-1304-6_17
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