Optimizing customized bus services for multi‐trip urban passengers: A bi‐objective approach

Abstract Customized bus services typically focus on single‐trip requests, which often struggle to accommodate the growing needs for varied multiple trips in urban daily travel. This paper addresses the customized bus routing problem for passengers with multiple trips. A bi‐objective mathematical model is established for maximizing the operational profit and minimizing the travel costs by considering the characteristics of the multi‐trip requests and time‐dependent travel time. Besides, a novel profit objective function is proposed considering the service's completion status and the starting price. Since the proposed mixed integer linear programming model is an NP‐hard problem, a non‐dominated sorting genetic algorithm II‐based method is proposed to handle different sizes of instances. Finally, the instances with multi‐trip requests are carried out to test the accuracy of the model and the effectiveness of our method compared with Gurobi and the local search‐based multi‐objective algorithm approach.

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Publication Details

Journal
IET Intelligent Transport Systems
Published
2024-10-04
DOI
https://doi.org/10.1049/itr2.12569
Citations
1
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.20

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article

Optimizing customized bus services for multi‐trip urban passengers: A bi‐objective approach

Xuedong Yan, Haonan Guo, Xiaobing Liu, Yunlin Guan et al.
1 citations
IET Intelligent Transport Systems
Transportation and Mobility Innovations
0.20
article

Optimizing customized bus services for multi‐trip urban passengers: A bi‐objective approach

Xuedong Yan, Haonan Guo, Xiaobing Liu, Yunlin Guan, Yun Wang
article en
1 citations

Abstract

Abstract Customized bus services typically focus on single‐trip requests, which often struggle to accommodate the growing needs for varied multiple trips in urban daily travel. This paper addresses the customized bus routing problem for passengers with multiple trips. A bi‐objective mathematical model is established for maximizing the operational profit and minimizing the travel costs by considering the characteristics of the multi‐trip requests and time‐dependent travel time. Besides, a novel profit objective function is proposed considering the service's completion status and the starting price. Since the proposed mixed integer linear programming model is an NP‐hard problem, a non‐dominated sorting genetic algorithm II‐based method is proposed to handle different sizes of instances. Finally, the instances with multi‐trip requests are carried out to test the accuracy of the model and the effectiveness of our method compared with Gurobi and the local search‐based multi‐objective algorithm approach.

IET Intelligent Transport SystemsVol. 18(11)
Beijing Jiaotong University (CN), China People's Public Security University (CN), Changsha University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Sustainable cities and communities
Openalex Percentile: Top 50%
Transportation and Mobility Innovations
0.20
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Optimizing customized bus services for multi‐trip urban passengers: A bi‐objective approach — Xuedong Yan, Haonan Guo, et al. · IET Intelligent Transport Systems (2024) | TGRS Research Map | TGRS