The vehicle relocation problem with operation teams in one-way carsharing systems
The vehicle relocation problem with operation teams in one-way carsharing systems
复制标题
单向汽车共享系统中运营团队的车辆搬迁问题
DOI：
10.1080/00207543.2021.1933238
复制
发表时间：
2021-06
影响因子：
9.2
通讯作者：
Yuan Biao
中科院分区：
文献类型：
--
作者：
Lu Yuwei;Wang Kangzhou;Yuan Biao
不同站点可用车辆的不平衡是单向汽车共享系统的一个突出挑战。针对这一问题，中国上海一家公司的运营团队（每个公司有多名工人）乘坐运营车辆来重新平衡车站之间的共享车辆。实际中会遇到一个相关的优化问题，即运营团队的车辆搬迁问题，寻找车站搬迁对和运营车辆的访问路线。本文构建了最小化共享车辆迁移距离与运营车辆行驶距离之和的数学规划模型。开发了一种具有多个特定于问题的算法组件的自适应大邻域搜索算法，以有效地解决该问题。通过将所提出的方法与商业优化软件和顺序方法进行比较，计算结果验证了该方法的竞争性能。
The imbalance of available vehicles at different stations is an outstanding challenge in one-way carsharing systems. Dedicated to this issue, the operation teams in one company in Shanghai, China, each of which contains several workers, take operation vehicles to rebalance sharing vehicles among stations. A pertinent optimization problem, called the vehicle relocation problem with operation teams, is encountered in practice to find the relocation pairs of stations and the visiting routes of operation vehicles. In this paper, a mathematical programming model for minimizing the sum of relocation distance of sharing vehicles and travel distance of operation vehicles is constructed. An adaptive large neighbourhood search algorithm with several problem-specific algorithmic components is developed to efficiently solve the problem. Computational results validate the competitive performance of the proposed approach by comparing it with the commercial optimization software and a sequential approach.
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影响因子：
11.1
作者：
Ning Wang;Jiahui Guo;Xiang Liu;Tong Fang
通讯作者：
Ning Wang;Jiahui Guo;Xiang Liu;Tong Fang
电动汽车共享系统的分配问题：数据驱动的方法
DOI：
10.1016/j.trd.2019.11.021
发表时间：
2020
期刊：
Transportation Research Part D: Transport and Environment
影响因子：
--
作者：
Xiang Huo;Xinkai Wu;Ming Li;Nan Zheng;Guizhen Yu
通讯作者：
Guizhen Yu
影响因子：
7.9
作者：
Kadri, Ahmed Abdelmoumene;Kacem, Imed;Labadi, Karim
通讯作者：
Labadi, Karim
DOI：
10.1016/j.disopt.2016.12.001
发表时间：
2015-04
期刊：
Discret. Optim.
影响因子：
--
作者：
M. Bruglieri;F. Pezzella;O. Pisacane
通讯作者：
M. Bruglieri;F. Pezzella;O. Pisacane
影响因子：
9.2
作者：
M.A.F. Belo-Filho;P. Amorim;Bernardo Almada-Lobo
通讯作者：
M.A.F. Belo-Filho;P. Amorim;Bernardo Almada-Lobo