Multi-Train Movement Simulation Research for Urban Rail Transit under Sudden Failure

2011 ◽  
Vol 97-98 ◽  
pp. 523-530
Author(s):  
Zhi Qiang Wang

Analyze the sudden failure influence to urban rail transit normal operation, has important significance to grasp the key of failure emergency treatment. This paper take moving block mode for example, first by use of multi-particle traction model, general consider the passenger comfort, safety control and other factors, design the multi-train tracking calculate model. Then according to the different influence to urban rail transit operation, classify the sudden failure into two kinds: sudden train failure and sudden section break off failure, analyze the multi-train movement simulate arithmetic under the two kinds of failure, based on this, design the simulation system’s workflow, build the urban rail transit multi-train movement simulate system under sudden failure. Finally, by analyze the calculate results of two kinds of failure, verified the system’s validity. Simulate urban rail transit multi-train movement process under sudden failure can master the detail instance about failure influence operation, deeply analysis the infect’s diffusion process caused by failure or delay, provide a powerful assist analyze tool to analysis the network’s operation reliability, constitute correlative emergency plan.

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yuan Zhao ◽  
Xiaobing Ding

With the increase and extension of urban rail transit lines, networked operation has become an inevitable trend of rail transit operations. Once an emergency occurs, it will cause operational delays; in serious cases, it may further lead to group safety incidents. Firstly, the sudden failure of rail transit is defined, statistical calculation is made according to the accumulated failure data, and then the sudden failures and average processing time are quantitatively calculated. Secondly, the time delay and propagation under the state of sudden failure are analyzed, on the basis of which the propagation and dissipation of time delay based on the single station failure cellular automata model and SIR model network based on multistation fault delay propagation are constructed. Finally, the reliability and accuracy of the model are verified by a case of rail transit in a city. The scheme in this paper can be used to estimate the scope of time and space delay under the sudden failure of rail transit and can provide the basis for the adjustment of traffic organization scheme and evacuation of passenger flow under the sudden failure.


2012 ◽  
Vol 253-255 ◽  
pp. 1995-2000
Author(s):  
Qiao Mei Tang ◽  
Li Ping Shen ◽  
Xian Yong Tang

large passenger flow is a common condition of urban transit operation, and the station bears the pressure of large passenger flow directly. This paper analyzes the reason for the appearance of large passenger flow and the characteristics of it, discusses the principles and methods that the station can apply under large passenger flow combined with the passenger’s transport process and the operation process.


2013 ◽  
Vol 380-384 ◽  
pp. 2822-2826
Author(s):  
Yun Tao Du ◽  
Ling Ling Zhong

Emergency plan modeling is the foundation of the work for digitizing emergency plans. On the basis of analyzing the content and structure of the existing urban rail transit emergency plans, a formalization method for emergency plans based on ontology is put forward. The core terms of emergency plans are extracted and classified. The relationships between various concepts are concluded. Combined with related concepts of ontology five meta-words, the ontology model of emergency plans is constructed. The emergency plan system from a subway company is presented as a real world case to establish the semantic model, providing the feasibility of the method proposed.


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