Optimization Model and Solution Algorithm for Rural Customized Bus Route Operation under Multiple Constraints

Bing Zhang (), Zhishan Zhong, Xun Zhou, Yongqiang Qu and Fangwei Li
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Bing Zhang: School of Transportation and Logistics, East China Jiaotong University, Nanchang 330013, China
Zhishan Zhong: School of Transportation and Logistics, East China Jiaotong University, Nanchang 330013, China
Xun Zhou: Jiangxi Comprehensive Transportation & Development Research Center, Nanchang 330038, China
Yongqiang Qu: Jiangxi Communications Planning, Survey and Design Institute Co., Ltd., Nanchang 330013, China
Fangwei Li: Shenzhen Urban Transport Planning Center Co., Ltd., Shenzhen 518057, China

Sustainability, 2023, vol. 15, issue 5, 1-18

Abstract: In order to improve the operational efficiency of public transportation systems in rural areas, we investigated the demand-responsive rural customized bus vehicle route optimization problem. First, a two-stage planning model describing the problem in the reservation phase and real-time phase was constructed with the objectives of minimizing the operating cost of the operator and the travel time cost of the passenger, and the passenger time window, vehicle characteristics, rated passenger capacity and the running time of the route were considered in the constraints. Second, a hybrid algorithm solution model combining bat algorithm and adaptive particle swarm algorithm was designed to obtain a more optimal solution. Finally, the effectiveness of the hybrid algorithm on the optimization model was verified by using the actual road network in some townships of Jing’an County, Jiangxi Province, China, and the obtained objective function value was reduced by 5.5%. The results show that the optimization model and hybrid algorithm designed in this paper can be used to provide theoretical references for opening demand-responsive customized bus route operation schemes in rural areas.

Keywords: demand response; customized bus; vehicle route optimization; bat algorithm; adaptive particle swarm algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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