Operating electric taxi fleets: A new dispatching strategy with charging plans

Jun-Li Lu, Mi-Yen Yeh, Yu-Ching Hsu, Shun-Neng Yang, Chai-Hien Gan, Ming-Syan Chen
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引用次数: 48

Abstract

In this paper, we propose a dispatching strategy with charging plans upon the client requests for a commercial fleet of pure electric taxis. To boost the green industry, promoting the development of electrical vehicles is one of the most important policies of many governments. In a new scenario that the commercial taxi fleets run electrical vehicles as the main transportation, traditional dispatching policies for general gasoline taxis are no longer effective. It is because those policies do not need to consider the newly generated issues for the electrical vehicles such as the endurance and the related charging problems when dispatching them. In addition, taxi drivers may doubt whether their working hours would be occupied by the possibly long waiting time of power recharging and thus decrease the chances to carry clients. To overcome the above issues, this paper proposes a new dispatching policy in consideration of the taxi demand, the remaining power of electrical taxis, and the availability of battery charging/switching stations in order to lower the waiting time of power recharging and thus increase the workable hours for taxi drivers. Simulation results show that our dispatching strategy can effectively reduce the waiting time for charging and increase the chances of taking clients compared to some random dispatching strategy.
运营电动出租车车队:充电计划的新调度策略
本文针对纯电动出租车商用车队的客户需求,提出了一种带有充电计划的调度策略。为了促进绿色产业的发展,推动电动汽车的发展是许多国家政府的重要政策之一。在商业出租车车队以电动汽车为主要交通工具的新情况下,传统的普通汽油出租车调度政策已不再有效。这是因为这些政策在调度电动汽车时,不需要考虑电动汽车新产生的问题,如续航能力和相关充电问题。此外,出租车司机可能会担心充电等待时间过长是否会占用他们的工作时间,从而减少载客的机会。针对上述问题,本文提出了一种综合考虑出租车需求、电动出租车剩余电量和电池充电站/换流站可用性的调度策略,以减少出租车司机的充电等待时间,从而增加出租车司机的工作时间。仿真结果表明,与随机调度策略相比,本文提出的调度策略可以有效地减少充电等待时间,增加取客机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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