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作 者:沈吟东[1] 陈晨[1] SHEN Yindong;CHEN Chen(School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China)
机构地区:[1]华中科技大学人工智能与自动化学院,湖北武汉430074
出 处:《物流科技》2021年第4期62-66,共5页Logistics Sci-Tech
基 金:国家自然科学基金项目“基于随机运营时间的公交鲁棒车辆调度研究”(71571076)。
摘 要:政府大力推动电动公交发展以促进城市节能减排,同时也为公交运营带来了挑战。车辆调度是公共交通运营计划中的一个关键问题,优化电动公交车辆调度方案不仅有助于降低公交企业运营成本,而且可以改善服务水平,让广大出行群众受益。文章首先对电动公交车辆调度问题及其数学模型进行了阐述,然后总结归纳了现有的车辆调度研究及电动公交车辆调度研究的成果,最后展望了电动公交车辆调度未来的研究方向。Our government vigorously accelerates the development of electric buses to promote urban energy conservation and emission reduction.It is effective but also brings challenges to bus operations.In public transport,the vehicle scheduling problem is a key issue.Optimizing the electric bus scheduling plan will not only help reduce the operating costs of public transportation companies,but also improve the service level and benefit the passengers.This paper firstly describes the electric bus scheduling problem and its mathematical model,then summarizes the existing vehicle scheduling research and the electric vehicle scheduling research,and finally looks forward to the future research direction of electric vehicle scheduling.
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