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Customized bus passenger boarding and deboarding planning optimization model with the least number of contacts between passengers during COVID-19

Author

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  • Chen, Feng
  • Peng, Haorong
  • Ding, Wenlong
  • Ma, Xiaoxiang
  • Tang, Daizhong
  • Ye, Yipeng

Abstract

The COVID-19 epidemic has had a major impact on people’s normal travel. Optimizing the control of the number of passengers boarding and deboarding the customized bus (CB) at CB stops can reduce the contact between passengers in the course of travel, which is meaningful for COVID-19 epidemic prevention and control. In this paper, a dynamic programming model based on nonlinear integer programming (NIP) is established to study the problem of boarding and alighting planning at various CB stops under the influence of COVID-19. Using Gurobi 9.1.1 solver, the optimal plan for passengers boarding and deboarding CB buses could be obtained. Besides, the mathematical model established in this paper can obtain the minimum value of the total number of contacts between passengers during travel under different CB numbers. It is found that the model solution results eventually form a Pareto frontier. When the number of CB buses increases, the total number of contacts between passengers will decrease This study has positive significance for ensuring the normal travel of passengers during the COVID-19 epidemic, and provides useful references for the studies about the planning of the customized bus.

Suggested Citation

  • Chen, Feng & Peng, Haorong & Ding, Wenlong & Ma, Xiaoxiang & Tang, Daizhong & Ye, Yipeng, 2021. "Customized bus passenger boarding and deboarding planning optimization model with the least number of contacts between passengers during COVID-19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    • Handle: RePEc:eee:phsmap:v:582:y:2021:i:c:s0378437121005173
    DOI: 10.1016/j.physa.2021.126244
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    References listed on IDEAS

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    Cited by:

    1. Shang, Huayan & Chang, Yi & Huang, Haijun & Zhao, Fangxia, 2022. "Integration of conventional and customized bus services: An empirical study in Beijing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).

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