Integrated optimization of metro and bridging bus operation under metro disruption

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Abstract
Existing studies on integrated optimization of metro and bridging bus operation under metro disruption often overlook the joint optimization of the train timetables and rolling stock circulations (i.e., the selections of turnaround stations, service cancellations, and service connections), as well as the routes and timetables of bridging buses. To address this gap, this study formulates the problem as a mixed-integer linear program. This program aims to minimize the total cost, including the cost of train timetable deviation before and after adjustment, the cost of the number of train service cancellations, the cost of the headway deviations of train services, the cost of the average passenger delay, and the cost of bridging bus operation time. An enhanced Adaptive Large Neighbor Search Algorithm is developed to solve the model. Three customized destroy operators and repair operators are designed to rapidly find high-quality solutions. Experiment results on Metro Line 1 in Urumqi demonstrate that the proposed model achieves 13.83% improvement compared with the model separately optimizes metro and bridging bus operation.
Funding Information
  • Hunan Provincial Natural Science Foundation of China (No.2023JJ40731)
  • National Natural Science Foundation of China (No.)
  • National Natural Science Foundation of China (52002281)

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