Mixed-integer second-order cone programming model for bus route clustering problem

•Propose a practical bus route clustering problem (BRCP).•Formulate a mixed-integer second-order cone programming (MISOCP) model.•Prove the problem is NP-hard.•Conduct extensive numerical experiments. Bus route clustering problem (BRCP) concerns the assignment of bus routes to different boarding loc...

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Published in:Transportation research. Part C, Emerging technologies Vol. 102; pp. 351 - 369
Main Authors: Wang, Shuaian, Zhang, Wei, Bie, Yiming, Wang, Kai, Diabat, Ali
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.05.2019
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ISSN:0968-090X, 1879-2359
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Abstract •Propose a practical bus route clustering problem (BRCP).•Formulate a mixed-integer second-order cone programming (MISOCP) model.•Prove the problem is NP-hard.•Conduct extensive numerical experiments. Bus route clustering problem (BRCP) concerns the assignment of bus routes to different boarding locations of a bus station with the objective of minimizing passenger waiting time. In this study, we formulate the BRCP as a mixed-integer second-order cone program (MISOCP). Simulations are conducted, in which the MISOCP model is applied to a major bus station in Hong Kong based on the network of actual bus routes. Experiments are tested for large size instances under different scenarios. Results show that the complexity of the BRCP is highly dependent on the overlapping degree of bus networks, while other factors, including the number of bus routes, destinations, and boarding locations have a joint effect; the influence is instance-specific based on different overlapping topologies of bus route networks.
AbstractList •Propose a practical bus route clustering problem (BRCP).•Formulate a mixed-integer second-order cone programming (MISOCP) model.•Prove the problem is NP-hard.•Conduct extensive numerical experiments. Bus route clustering problem (BRCP) concerns the assignment of bus routes to different boarding locations of a bus station with the objective of minimizing passenger waiting time. In this study, we formulate the BRCP as a mixed-integer second-order cone program (MISOCP). Simulations are conducted, in which the MISOCP model is applied to a major bus station in Hong Kong based on the network of actual bus routes. Experiments are tested for large size instances under different scenarios. Results show that the complexity of the BRCP is highly dependent on the overlapping degree of bus networks, while other factors, including the number of bus routes, destinations, and boarding locations have a joint effect; the influence is instance-specific based on different overlapping topologies of bus route networks.
Author Wang, Shuaian
Diabat, Ali
Wang, Kai
Bie, Yiming
Zhang, Wei
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Keywords Bus passenger
Mixed-integer second-order cone program
Bus route cluster
Language English
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SSID ssj0001957
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Snippet •Propose a practical bus route clustering problem (BRCP).•Formulate a mixed-integer second-order cone programming (MISOCP) model.•Prove the problem is...
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StartPage 351
SubjectTerms Bus passenger
Bus route cluster
Mixed-integer second-order cone program
Title Mixed-integer second-order cone programming model for bus route clustering problem
URI https://dx.doi.org/10.1016/j.trc.2019.03.019
Volume 102
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