The modeling of urban rail transit emergency delay propagation scope under network operation mode. (21st October 2019)

• Record Type: Journal Article
• Authors: Ding, Xiaobing; Zhao, Yuan; Liu, Zhigang; Hu, Hua
• Other Names: Xu Zheng guestEditor.; Zhou Qingyuan guestEditor.; Dong Fang guestEditor.; Yong Jianming guestEditor.; Fei Xiang guestEditor.
• Is Part Of: Concurrency and computation. Volume 32:Number 23(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-10-21
• Subjects: cellular automata -- delay spreading -- emergency delay -- network operation -- urban rail transit; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.5530
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: With the increase of the operation mileage of the urban rail transit and the extension of lines, the networked operation has become an inevitable trend of rail transit operation. Once an emergency takes place, it will cause delays of the large‐scale operation or even more serious mass safety incidents. First, the topology structure of urban rail transit network is analyzed. According to the static characteristics of the network clustering coefficient, degree, etc, a network model of directional empowerment network is constructed that can be used for analysis of the delay propagation scope. Second, the characteristics of the mass passenger flow distribution of rail transit in emergency is investigated and deeply explored in this paper. Based on this, the model of the delay spread and dissipation is constructed according to the emergency handling time and dissipation time of the passenger congestion. Finally, based on the cellular automaton model, the evolution rule for the delay spreading of the station state is established. The simulation results show that the established model has good reliability and accuracy, which can be adopted to predict the duration and spread of the delay in the emergency. This provides a basis for adjusting the transport organization plan and evacuating passenger flow in emergency.