Analysis of robustness of urban bus network

来源 :Chinese Physics B | 被引量 : 0次 | 上传用户:qq912214209
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In this paper,the invulnerability and cascade failures are discussed for the urban bus network.Firstly,three static models(bus stop network,bus transfer network,and bus line network) are used to analyse the structure and invulnerability of urban bus network in order to understand the features of bus network comprehensively.Secondly,a new way is proposed to study the invulnerability of urban bus network by modelling two layered networks,i.e.,the bus stop-line network and the bus line-transfer network and then the interactions between different models are analysed.Finally,by modelling a new layered network which can reflect the dynamic passenger flows,the cascade failures are discussed.Then a new load redistribution method is proposed to study the robustness of dynamic traffic.In this paper,the bus network of Shenyang City which is one of the biggest cities in China,is taken as a simulation example.In addition,some suggestions are given to improve the urban bus network and provide emergency strategies when traffic congestion occurs according to the numerical simulation results. In this paper, the invulnerability and cascade failures are discussed for the urban bus network. Firstly, three static models (bus stop network, bus transfer network, and bus line network) are used to analyze the structure and invulnerability of urban bus network in order to understand the features of bus network comprehensively. Secondary, a new way is proposed to study the invulnerability of urban bus network by modeling two layered networks, ie, the bus stop-line network and the bus line-transfer network and then the interactions between different models are analysed .Finally, by modeling a new layered network which can reflect the dynamic passenger flows, the cascade failures are discussed.Then a new load redistribution method is proposed to study the robustness of dynamic traffic.In this paper, the bus network of Shenyang City which is one of the biggest cities in China, is taken as a simulation example. In addition, some suggestions are given to improve the urban bus network and provide emerge ncy strategies when traffic congestion occurs according to the numerical simulation results.
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