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Journal of System Simulation

Abstract

Research on vulnerability of comprehensive passenger transportation network in urban agglomerations helps to ensure the transportation efficiency of intercity travel.A comprehensive passenger transport network model of urban agglomeration is built based on multi-layer complex network theory. Urban transportation transfer factors are considered, actual passenger flow is used to calibrate the station load and capacity and a dynamic model of network cascading failure is constructed. Multi-agents are used to simulate the actual passenger flow, Dijkstra algorithm is used to find the shortest path, and two time-dimensional vulnerability evaluation indicators are proposed.MATLAB is used to carry out the dynamic simulation of Hubao-Eyu urban agglomeration. The results show that most train stations have obvious range and time, impact on the network after being attacked, but the duration is not significantly different from the bus stations. The impact on the network of different sites being attacked has no obvious relationship with the duration.

First Page

1183

Revised Date

2022-05-26

Last Page

1190

CLC

TP391

Recommended Citation

Chengbing Li, Yunfei Li, Peng Wu. Dynamic Simulation of Urban Agglomeration Passenger Transport Network Vulnerability Based on Multi-agent[J]. Journal of System Simulation, 2023, 35(6): 1183-1190.

DOI

10.16182/j.issn1004731x.joss.22-0200

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