Study on emergency evacuation strategies for unexpected large passenger flow in urban rail transit station

2016 ◽  
pp. 665-669 ◽  
Author(s):  
Q Ye ◽  
Y Lv
Keyword(s):  
Emergency Evacuation ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Passenger Flow ◽  
Urban Rail ◽  
Transit Station

Operation Organization at Urban Rail Transit Station under Large Passenger Flow

2012 ◽  
Vol 253-255 ◽  
pp. 1995-2000
Author(s):  
Qiao Mei Tang ◽  
Li Ping Shen ◽  
Xian Yong Tang
Keyword(s):  
Transport Process ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Common Condition ◽  
Urban Transit ◽  
Passenger Flow ◽  
Operation Process ◽  
Urban Rail ◽  
Transit Station ◽  
Transit Operation

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.

Analysis and simulation optimization of passenger flow in urban rail transit station

2021 ◽  
Author(s):  
Yuzhuang Pian ◽  
Jinshuan Peng ◽  
Lunhui Xu ◽  
Pan Wu ◽  
Jinlong Li
Keyword(s):  
Simulation Optimization ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Passenger Flow ◽  
Urban Rail ◽  
Transit Station

Research on Calculation Methods of Urban Rail Transit Station Ticket Gates Load Degree

2013 ◽  
Vol 330 ◽  
pp. 569-573
Author(s):  
Chen Chen Zhang ◽  
Xu Zhang ◽  
Yan Hui Wang ◽  
Ling Xi Zhu
Keyword(s):  
Urban Rail Transit ◽  
The Other ◽  
Subway Station ◽  
Rail Transit ◽  
Calculation Methods ◽  
Passenger Flow ◽  
Urban Rail ◽  
Transit Station

There are many ticket gates at the subway station. The managers are quite careful about the load degree of the ticket gates. This paper studies two different methods to calculate the load degree of the ticket gates. One is based on the station ticket gates group as the research object, and the other one is based on the volume of passenger flow passing in and out of the station as the research object. Then we use the data investigated at Chaoyangmen station in Beijing to test and verify both of the methods. At last, we can get the conclusion that we can get the same result by the two methods, but the method of based on the volume of passenger flow passing in and out of the station is more reasonable.

scholarly journals Research on Passenger Flow Early Warning of Urban Rail Transit Station Based on System Dynamics

2020 ◽  
Vol 308 ◽  
pp. 01003
Author(s):  
Hui Chen ◽  
Bo Wang ◽  
Wei He ◽  
Jianhu Zheng
Keyword(s):  
System Dynamics ◽  
Early Warning ◽  
Large Scale ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Passenger Flow ◽  
Urban Rail ◽  
Passenger Flows ◽  
Transit Station ◽  
The Impact

Large-scale passenger flows occur frequently during the peak hours of urban rail transit stations and on holidays. Thus, the timely and accurate early warning of impending large-scale passenger flows can positively impact the operational safety of the entire station. By further deepening the definition of passenger flow warnings in stations, a new model of urban rail transit station passenger flow based on system dynamics is constructed. The method of determining the key area of passenger flows in the early warning stage based on streamlines is proposed; the key indicators and thresholds affecting early warnings are studied. Finally, taking a typical station as an example, a station model is built using Anylogic software. The parameter sensitivity analysis is used to determine the impact of each key indicator on the passenger flow in the key area of the station early warning, and the reference threshold of each indicator is determined.

Analysis of Rail Transit Station Passenger Capacity Based on System Dynamics

2013 ◽  
Vol 409-410 ◽  
pp. 1277-1286 ◽  
Author(s):  
Xiao Hong Li ◽  
Wan Di Zhang ◽  
Feng Chen ◽  
Zhi Qiang Li
Keyword(s):  
System Dynamics ◽  
Flow Distribution ◽  
Urban Rail Transit ◽  
Dynamics Simulation ◽  
Rail Transit ◽  
Passenger Flow ◽  
Urban Rail ◽  
Transit Station ◽  
Transit Operation ◽  
Safety Operation

Passenger capacity of rail transit station is not only the basis of station design and passenger flow organization, but also an important factor to ensure safety operation of rail transit. This paper analyzes urban rail transit station from the perspective of system, and discusses the coordination and feedback relationships of passenger flow distribution between different facilities. By analyzing the law of the passenger flow, a system dynamics simulation model is established with the system dynamics software, Stella, and the limits of passenger capacity of Beijing Dongdan station is calculated under different conditions. These results provide bases for the management of transit operation.

Passenger Flow Forecast of Urban Rail Transit Based on Support Vector Regression

2013 ◽  
Vol 433-435 ◽  
pp. 612-616 ◽  
Author(s):  
Bin Xia ◽  
Fan Yu Kong ◽  
Song Yuan Xie
Keyword(s):  
Support Vector Regression ◽  
Risk Function ◽  
Urban Rail Transit ◽  
Support Vector ◽  
Rail Transit ◽  
Risk Minimization ◽  
Promising Alternative ◽  
Minimization Principle ◽  
Passenger Flow ◽  
Urban Rail

This study analyses and compares several forecast methods of urban rail transit passenger flow, and indicates the necessity of forecasting short-term passenger flow. Support vector regression is a promising method for the forecast of passenger flow because it uses a risk function consisting of the empirical error and a regularized term which is based on the structural risk minimization principle. In this paper, the prediction model of urban rail transit passenger flow is constructed. Through the comparison with BP neural networks forecast methods, the experimental results show that applying this method in URT passenger flow forecasting is feasible and it provides a promising alternative to passenger flow prediction.

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