Research on simulation-based optimization for urban rail transit passenger traffic organization

2012 ◽  
Author(s):  
Y. Lu ◽  
R.H. Xu
Keyword(s):  
Urban Rail Transit ◽  
Rail Transit ◽  
Passenger Traffic ◽  
Urban Rail ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
Traffic Organization

scholarly journals The Research on Delay Propagation of Urban Rail Transit Operation under Sudden Failure

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yuan Zhao ◽  
Xiaobing Ding
Keyword(s):  
Time Delay ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Delay Propagation ◽  
Failure Data ◽  
Sudden Failure ◽  
Urban Rail ◽  
Single Station ◽  
Transit Operation ◽  
Traffic Organization

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.

Safety Statistical Analysis Based on Urban Rail Transit Operation

2013 ◽  
Vol 448-453 ◽  
pp. 4167-4172
Author(s):  
Yan Hui Wang ◽  
Jun Jin ◽  
Ling Xi Zhu ◽  
Yong Qin ◽  
Ping Li
Keyword(s):  
Statistical Analysis ◽  
Traffic Control ◽  
Road Network ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Prevention Measures ◽  
Transit System ◽  
The Road ◽  
Passenger Traffic ◽  
Urban Rail

Aiming at the characteristics of the safety of urban rail transit system operation, this paper adopts the comprehensive analysis and statistical chart included by the statistical analysis to process the data, which is based on the relevant data in accordance with Beijing Rail Traffic Control Center Statistics in 2012 and indicators of the station, line and road network, in addition, the trend and the indicator between horizontal and longitudinal contrast are also analyzed about stations, lines and the road network . The results can conclude the potential security risks information, such as, the maximum early peak average daily transfer of Xizhimen station, the maximum passenger traffic of Line1 ,the maximum passenger traffic of the road network up to July and August, and the largest proportion of signal failure. Finally, the laws can be find out, and the specific prevention measures can be put forward for the management, which has a certain significance for the reduction of accidents, and can give some theoretical guidance to urban rail transit operations managers.

scholarly journals Urban Rail Transit Running Hierarchized Simulation based on Timed Discrete Petri and Matlab under the Background of Industry 4.0

CONVERTER ◽  
2021 ◽  
pp. 482-489
Author(s):  
Yue Zhang
Keyword(s):  
Simulation Model ◽  
Petri Nets ◽  
Industry 4.0 ◽  
Bottom Layer ◽  
Urban Rail Transit ◽  
New Method ◽  
Rail Transit ◽  
Line Model ◽  
Urban Rail ◽  
Simulation Based

This paper, taking Changchun rail transit as an example, proposes a new method to simulate its running that is hierarchized simulation using timed discrete Petri and Simulink/Stateflow. Firstly, this paper uses the timed discrete Petri nets to build Changchun rail transit line 1-4 running model. And then, based on the timed discrete Petri nets model above, this paper also studies hierarchized simulation model by the tool of Simulink/Stateflow, which consists of two layers: the bottom layer is a single line model, and the top layer is a whole line model. In order to realize the rail transit running visualization, the tool of Matlab/App Designer is employed to design monitoring interface for Changchun rail transit line 1-4. This method is scalable and popularized.

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