Management of Dynamic Vehicle Allocation for Carsharing Systems
Management of Dynamic Vehicle Allocation for Carsharing Systems
复制标题
汽车共享系统的动态车辆分配管理
DOI：
10.3141/2359-07
复制
发表时间：
2013
影响因子：
1.7
通讯作者：
W. Fan
中科院分区：
文献类型：
--
作者：
W. Fan
汽车共享提供了创新的出行解决方案，作为一种环境可持续、对社会负责、经济可行的出行方式，它在全球越来越受欢迎。汽车共享允许会员从私人车辆使用中获益，而无需承担所有权的成本和责任，并为个人提供在短期内根据需要在网络上使用共享车辆的机会。本文试图建立一个随机优化框架来解决汽车共享系统的车辆动态分配问题，其中服务运营商需要在时间和空间上管理和确定最优的车辆分配，以实现利润最大化。建立并求解了考虑共享汽车需求变化等系统不确定性的多阶段随机线性规划模型。讨论了数值结果，并在七阶段实验网络试点研究的基础上提出了计算见解。
Carsharing offers innovative mobility solutions and has been gaining popularity around the world as an environmentally sustainable, socially responsible, and economically feasible form of mobility. Carsharing allows members to benefit from private vehicle use without the costs and responsibilities of ownership and provides individuals with access to a fleet of shared-use vehicles in a network of locations on a short-term, as-needed basis. This paper seeks to develop a stochastic optimization framework to address the dynamic vehicle allocation problem for carsharing systems, in which the service operator needs to manage and determine the optimal vehicle allocation in both time and space to maximize profits. A multistage stochastic linear programming model with recourse, which can account for system uncertainties such as car-sharing demand variation, is formulated and solved. Numerical results are discussed and computational insights are presented on the basis of a seven-stage experimental network pilot study.