Research on Bike Sharing Routing and Scheduling Optimization for Different Time Periods

摘要

Bike-sharing system, as an emerging public transport system, can allow users to rent a bicycle at a rental station for a short trip and return them at another station. To ensure a good quality of service to users, a reasonable and efficient scheduling is essential. In this paper, based on the multi-objective of minimizing the routing length and maxing satisfaction of users, we studied the scheduling route optimization problem based on bike-sharing demand characteristics at different times of a day. As a result, bi-level models at off-peak and peak are developed. By comparing the models considering weight of stations, customer satisfaction is improved, which has been little reported in literatures. With models successfully solved by LINGO, this paper verifies the efficiency and feasibility of the model by numerical examples. The study's results show beneficia1 effects of scheduling route optimization on solving problem in rental and return bikes in bike-sharing system.