Order dispatch problem of the inter-city or inter-district ridesplitting service

This study formulates the order dispatch problem of the inter-city/inter-district ridesplitting service as an integer linear programming, and a solution framework that combines Lagrangian relaxation (LR) and alternating direction methods of multipliers is constructed. Specifically, LR problem is constructed by relaxing coupling constraints; based on this, the augmented Lagrangian relaxation (ALR) problem is constructed by adding a quadratic penalty term. Then, the ALR problem can be decomposed into a series of interdependent vehicle route subproblems by using linearisation technique and block coordinate descent method. The upper bound of the model is generated by ALR and a heuristic, and the solution quality can be evaluated by the lower bound provided by LR. Finally, numerous experiments are conducted to verify the effectiveness of proposed algorithms. The results show that the proposed algorithm could achieve an average cost saving of 10% and an average detour reduction of over 20% than the existing algorithm.

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Publication Details

Journal
Transportmetrica A Transport Science
Published
2024-10-16
DOI
https://doi.org/10.1080/23249935.2024.2413655
Citations
2
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
0.41

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article

Order dispatch problem of the inter-city or inter-district ridesplitting service

Jie Ma, Qixiu Cheng, Lin Cheng, Xuefeng Li et al.
2 citations
Transportmetrica A Transport Science
Transportation and Mobility Innovations
0.41
article

Order dispatch problem of the inter-city or inter-district ridesplitting service

Jie Ma, Qixiu Cheng, Lin Cheng, Xuefeng Li, Mingyang Du, Mei-Po Kwan
article en
2 citations

Abstract

This study formulates the order dispatch problem of the inter-city/inter-district ridesplitting service as an integer linear programming, and a solution framework that combines Lagrangian relaxation (LR) and alternating direction methods of multipliers is constructed. Specifically, LR problem is constructed by relaxing coupling constraints; based on this, the augmented Lagrangian relaxation (ALR) problem is constructed by adding a quadratic penalty term. Then, the ALR problem can be decomposed into a series of interdependent vehicle route subproblems by using linearisation technique and block coordinate descent method. The upper bound of the model is generated by ALR and a heuristic, and the solution quality can be evaluated by the lower bound provided by LR. Finally, numerous experiments are conducted to verify the effectiveness of proposed algorithms. The results show that the proposed algorithm could achieve an average cost saving of 10% and an average detour reduction of over 20% than the existing algorithm.

Transportmetrica A Transport Science
Hong Kong Polytechnic University (HK), Nanjing Forestry University (CN), Chinese University of Hong Kong (HK), Utrecht University (NL), Southeast University (CN)
National Natural Science Foundation of China, Natural Science Research of Jiangsu Higher Education Institutions of China, Humanities and Social Science Fund of Ministry of Education of China
Openalex Percentile: Top 39%
Transportation and Mobility Innovations
0.41
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Order dispatch problem of the inter-city or inter-district ridesplitting service — Jie Ma, Qixiu Cheng, et al. · Transportmetrica A Transport Science (2024) | TGRS Research Map | TGRS