2021Journal of Physics Conference SeriesOpen access

Fault Spread and Recovery Strategy of Urban Rail Transit System Based on Complex Network

Wei Yang, Liping Mu, Hua Jiang, Xiaoqing Li, Kun Mean Hou

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Abstract

Urban rail transit is an important existence in the urban transportation system. In recent years, a large number of people will take it as their preferred travel mode, but the station failure caused by emergencies is inevitable. The impact on the whole system makes people put forward higher requirements for the operation of rail transit. Therefore, how to suppress the fault spread and how to quickly and effectively recover the urban rail transit system after the fault spread is an urgent problem to be solved. In this paper, based on the metro network data obtained from Gaode map, the network topology model was established by using the complex network theory. Then, the fault spread law of the metro network without recovery and the fault spread law with recovery were studied. Finally, the four strategies were simulated and compared.

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Urban rail transit is an important existence in the urban transportation system. In recent years, a large number of people will take it as their preferred travel mode, but the station failure caused by emergencies is inevitable. The impact on the whole system makes people put forward higher requirements for the operation of rail transit. Therefore, how to suppress the fault spread and how to quickly and effectively recover the urban rail transit system after the fault spread is an urgent problem to be solved. In this paper, based on the metro network data obtained from Gaode map, the network topology model was established by using the complex network theory. Then, the fault spread law of the metro network without recovery and the fault spread law with recovery were studied. Finally, the four strategies were simulated and compared.

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Available abstract

Urban rail transit is an important existence in the urban transportation system. In recent years, a large number of people will take it as their preferred travel mode, but the station failure caused by emergencies is inevitable. The impact on the whole system makes people put forward higher requirements for the operation of rail transit. Therefore, how to suppress the fault spread and how to quickly and effectively recover the urban rail transit system after the fault spread is an urgent problem to be solved. In this paper, based on the metro network data obtained from Gaode map, the network topology model was established by using the complex network theory. Then, the fault spread law of the metro network without recovery and the fault spread law with recovery were studied. Finally, the four strategies were simulated and compared.

Key concepts: Urban rail transit, Fault (geology), Urban rail, Rail transit, Transport engineering, Rail network, Transit system, Mode (computer interface)

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