Optimization of Vehicle Management for One-Way Carsharing Systems Based on Time Windows of Users

摘要

In order to reduce the operating costs of car-sharing companies and improve the satisfaction of users, a one-way carsharing systems optimization model which considers the time windows requirements of users is constructed with minimum total costs including scheduling costs and penalty costs. Then, an improved particle swarm optimization algorithm with tabu search is proposed to solve the model. Numerous experiments are performed to obtain the optimal solution. Finally, based on experimental results, some practical proposals for one-way carsharing systems are provided for the carsharing companies.