Bus bridging evacuation refers to transporting affected passengers to their destination stations during metro disruption by buses dispatched from depots. It plays an important role in maintaining the level of service of metro rail and serving affected passenger demands. This paper presents an implicit formulation and a GA-based solving algorithm for the bus bridging evacuation problem, in which the varying bridging passenger demand at disrupted metro stations, the arrival and departure time of bus fleets, and the number of alighting and boarding passengers at disrupted metro stations are captured in detail. Different from existing studies, the dwelling time of a bus fleet is exactly modelled in the proposed formulation. Results of a case study demonstrate the advantage of the proposed model. Parameters’ tuning for the solving algorithm shows that the combination of larger population size, larger maximum number of generations and larger crossover rate contributes to finding the globally optimal bus dispatch plan.

CICTP