Incentive-Based Approach to Control Demands for Operation of One-Way Carsharing System
Incentive-Based Approach to Control Demands for Operation of One-Way Carsharing System
复制标题
基于激励的方法控制单向汽车共享系统运营需求
DOI：
--
复制
发表时间：
2019
影响因子：
1.7
通讯作者：
Ting Li
中科院分区：
文献类型：
--
作者：
Lei Wang;Yong Jin;Ling Wang;Wanjing Ma;Ting Li
近十年来，单向汽车共享被视为创新的城市交通方式之一。系统中频繁出现车队失衡问题，需要高效的车辆调配来应对。基于激励的方法可以影响用户的需求，并可以减轻运营商搬迁的压力。本文提出了一种基于激励的方法，涉及车辆奖励政策和车站奖励政策，以分别吸引上车需求和下车需求。提出了一种排序方法来确定候选奖励车辆和车站的列表。该方法获取真实操作环境中的用户应用程序日志数据和交易数据，以进行上下车需求预测。根据实时数据计算出车辆的五个因素和车站的四个因素。排名指数是根据因素的加权总和进行汇总的。奖励政策和排名方法在上海两个区的电动汽车共享系统的真实运行环境中进行了测试。结果表明，采用排名方式的奖励政策可以缩短车辆闲置时间，增加每辆车、每站的交易数量，同时也带来利润的增量。
One-way carsharing has been regarded as one of the innovative urban transportation modes since the last decade. A fleet imbalance problem frequently occurs in the system, which requires efficient vehicle relocation to cope with. An incentive-based approach could influence the users’ demands and could relieve the pressure on operator-based relocation. This paper presents an incentive-based approach involving a vehicle rewarding policy and a station rewarding policy to attract pick-up demands and drop-off demands respectively. A ranking method is proposed to determine the list of candidate rewarding vehicles and stations. The method acquires the user-app log data and the transaction data in a real operating environment for pick-up and drop-off demand prediction. Five factors for vehicles and four factors for stations are computed from the real-time data. The ranking indices are aggregated from the weighted sum of the factors. The rewarding policy and the ranking method were tested in the real operating environment of an electric vehicle sharing system in two districts of Shanghai. The result suggests that the rewarding policy with ranking method could shorten the vehicle idle time and increase the number of transactions per vehicle and per station, and also resulted in increments on profits.