%0 Journal Article
%T 车辆分时租赁模式高峰时段用户预约分配模型<br>Reservation assignment model in peak hours under time-share car rental mode
%A 王永兴
%A 毕军
%A 孙欢欢
%J 北京交通大学学报
%D 2017
%R 10.11860/j.issn.1673-0291.2017.06.012
%X 摘要 租车高峰时段难以合理为用户分配车辆是分时租赁运营商面临的主要问题.针对车辆分时租赁模式下的用户预约分配问题，在对主要影响因素进行分析的基础上，提出了以运营商收益最大化为目标的用户预约分配优化模型，并设计遗传算法对模型进行求解.基于对仿真场景的假设将模型与算法应用于仿真算例中，算例结果表明: 遗传算法适用于求解所提出的优化模型，通过对模型求解可以得到租车高峰时段运营商最大收益及相应的最优用户预约分配方案，并且通过比较分析得出模型所得收益优于传统预约分配方法，验证了模型和算法的可行性与实用性.<br>Abstract：In car rental peak hours, difficulty to reasonably assign the vehicles to users is a main problem for the operators of time-share car rental. Focused on the reservation assignment problem under time-share car rental mode, a reservation assignment optimization model is proposed based on the analysis of the main affecting factors. The model aims at maximizing the profits of the time-share car rental operator. A genetic algorithm (GA) is designed to solve the model. The model and GA are applied to the simulation example based on the assumption of simulation scene. The results show that the GA is suitable for solving the proposed model. The maximum profits of the operator and the corresponding optimal scheme of reservation assignment can be obtained through solving the model. Through comparison analysis, it can be found that the profits of the operator under the model are superior to the conventional reservation assignment method. The feasibility and practicality of the model and GA are verified.
%K 城市交通
%K 车辆分时租赁
%K 用户预约分配
%K 0-1整数规划
%K 遗传算法&lt
%K br&gt
%K urban traffic
%K time-share car rental
%K user reservation assignment
%K zero-one integer programming
%K genetic algorithm
%U http://jdxb.bjtu.edu.cn/CN/abstract/abstract3271.shtml