Study on the Bike-sharing Inventory Rebalancing and Vehicle Routing for Bike-sharing System

被引：13

作者：

Shi, Lei ^{[1
]}

Zhang, Yong ^{[1
]}

Rui, Weina ^{[2
]}

Yang, Xinzheng ^{[3
]}

机构：

[1] Southeast Univ, Sch Transportat, Jiulonghu Campus, Nanjing 211100, Jiangsu, Peoples R China

[2] Transportat Bur Huishan Dist, Huishan Dist Xizhang West Rd 100, Wuxi 214000, Jiangsu, Peoples R China

[3] Changan Univ, Sch Automobile, Middle Sect South 2nd Ring Rd, Xian 710064, Shaanxi, Peoples R China

来源：

3RD INTERNATIONAL CONFERENCE GREEN CITIES - GREEN LOGISTICS FOR GREENER CITIES | 2019年 / 39卷

关键词：

Bike-sharing system; inventory rebalancing; vehicle routing problem; particle swarm optimization algorithm; STATIC REPOSITIONING PROBLEM; ALGORITHM; STRATEGIES;

D O I：

10.1016/j.trpro.2019.06.064

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Bike-sharing system has been launched in many cities, due to the essential merits. Along with the convenience brought by the rapid development of bike-sharing system, several severe problems also arise. The most serious problem is the uneven distribution of bicycles. Thus the VRP model for bike-sharing inventory rebalancing and vehicle routing is formulated. Additionally, an improved particle swarm optimization (PSO) algorithm is designed to solve this problem. Finally, a case study is undertaken to test the validity of the model and the algorithm. Five maintenance trucks are designated to execute all delivery tasks required by 25 spots. Capacities of all of the maintenance trucks are almost fully utilized. It is of considerable significance for bike-sharing enterprises to make optimal bike schedule. (C) 2019 The Authors. Published by Elsevier B.V.

引用

页码：624 / 633

页数：10

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