摘要
单程共享汽车服务模式的快速普及,导致因用户需求潮汐性引发的车辆在站点间失衡问题日益严峻,如何更加有效地组织车辆调度是共享汽车运营企业亟需解决的问题。在用户用车需求全部满足的假设前提下,建立一个共享汽车车辆调度确定性模型,并应用鲁棒优化理论,推导出该确定性模型对应的鲁棒对等模型。选取Evcard位于上海市嘉定区的5个站点作为案例进行分析,验证了所提模型的有效性。结果表明,用户行程时间不确定性对系统成本具有重要影响,随着用户行程时间不确定性波动上界的增大,系统成本增加明显,但鲁棒模型所增加的成本远小于确定性模型下风险发生时所造成的损失,为共享汽车企业制定车辆调度方案和控制运营成本提供了新思路。
The rapid popularization of the one-way car sharing service model has led to an increasingly serious problem of vehicle imbalances between sites caused by the tidal nature of users’needs,and how to organize vehicle scheduling more effectively is a problem that carsharing companies need to solve urgently.Under the premise that the users’needs are fully satisfied,a deterministic model of carsharing relocation was established,and robust optimization theory was applied to derive the robust equivalent equations corresponding to the deterministic model.Five“Evcard”sites in Jiading District,Shanghai,were selected as case study to test and verify the effectiveness of the proposed models.The results show that the users’travel time uncertainty has an important impact on the system cost,as the upper volatility of the users’travel time increases,the system cost increases significantly,but the cost of the robust model is much less than the loss caused by the deterministic one.The results provide a new idea for carsharing companies to formulate vehicle schedules and control operation costs.
作者
刘阳东
刘海洋
Liu Yangdong;Liu Haiyang(School of Naval Architecture,Ocean&Civil Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;Shenzhen Urban Transport Planning Center Co.Ltd.,Shenzhen 518021,China;Institute for Urban Risk Management,Tongji University,Shanghai 200070,China)
出处
《石家庄铁道大学学报（自然科学版）》
2021年第1期102-107,共6页
Journal of Shijiazhuang Tiedao University(Natural Science Edition)
