01659995

Component

Bus bridging refers to transporting affected passengers to their destination stations in case of metro operational disruption. It plays an important role in emergency transportation management and can significantly improve the level of service of the metro system if properly planned and operated. This paper develops a dynamic model for bus bridging system optimization, in which the interaction among time-varying locations of buses, passenger demand, the arrival and departure time of bridging bus fleet, and the number of debarking and boarding passengers at each disrupted metro station are modeled in details. A simulation-based genetic algorithm is developed to solve the proposed model. Case study results demonstrate the effectiveness of the proposed model and the solution algorithm in real-world application.

This paper was sponsored by TRB committee AP050 Standing Committee on Bus Transit Systems.

18-05530

English

23p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Case studies; Emergency management; Genetic algorithms; Numerical analysis; Optimization; Rail transit stations; Rapid transit; Service disruption; Shuttle buses; Time domain analysis; Traffic simulation; Travel demand

Shanghai (China)

Operations and Traffic Management; Passenger Transportation; Public Transportation; Security and Emergencies; Terminals and Facilities; Vehicles and Equipment

Transportation Research Board Annual Meeting 2018 Paper #18-05530

TRIS, TRB, ATRI

Jan 8 2018 11:24AM