Optimization of Bus Bridging Service under Unexpected Metro Disruptions with Dynamic Passenger Flows

A metro disruption is a situation where metro service is suspended for some time due to unexpected events such as equipment failure and extreme weather. Metro disruptions reduce the level of service of metro systems and leave numerous passengers stranded at disrupted stations. As a means of disruption management, bus bridging has been widely used to evacuate stranded passengers. This paper focuses on the bus bridging problem under operational disruptions on a single metro line. Unlike previous studies, the authors consider dynamic passenger flows during the disruption. A multi-objective optimization model is established with objectives to minimize total waiting time, the number of stranded passengers and dispatched vehicles with constraints such as fleet size and vehicle capacity. The NSGA-II algorithm is used for the solution. Finally, the authors apply the proposed model to Shanghai Metro to access the effectiveness of the approaches in comparison with the current bridging strategy. Sensitivity analysis of the bus fleet size involved in the bus bridging problem was conducted.

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    • © 2019 Jiadong Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • Authors:
    • Wang, Jiadong
    • Yuan, Zhenzhou
    • Yin, Yonghao
  • Publication Date: 2019

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  • English

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  • Accession Number: 01717073
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Aug 23 2019 12:25PM