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 |
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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. |
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| 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 |
| Author_xml | – sequence: 1 givenname: Shuaian surname: Wang fullname: Wang, Shuaian organization: Department of Logistics and Maritime Studies, Hong Kong Polytechnic University, Hung Hom, Hong Kong – sequence: 2 givenname: Wei surname: Zhang fullname: Zhang, Wei organization: Department of Logistics and Maritime Studies, Hong Kong Polytechnic University, Hung Hom, Hong Kong – sequence: 3 givenname: Yiming surname: Bie fullname: Bie, Yiming email: yimingbie@126.com organization: School of Transportation, Jilin University, Changchun 130022, China – sequence: 4 givenname: Kai orcidid: 0000-0002-3040-0422 surname: Wang fullname: Wang, Kai organization: Department of Logistics and Maritime Studies, Hong Kong Polytechnic University, Hung Hom, Hong Kong – sequence: 5 givenname: Ali surname: Diabat fullname: Diabat, Ali organization: Division of Engineering, New York University Abu Dhabi, Saadiyat Island, 129188 Abu Dhabi, United Arab Emirates |
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