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.

Assessment Method for Dynamic Impact of Large Passenger Flow on Urban Rail Transit Network: A Case Study on Chengdu East Railway Station

2021 ◽  
pp. 036119812110584
Author(s):  
Ruihua Xu ◽  
Xuyang Song ◽  
Fangsheng Wang ◽  
Feng Zhou
Keyword(s):  
Radionuclide Imaging ◽  
Large Scale ◽  
Clinical Medicine ◽  
Propagation Model ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Railway Station ◽  
Passenger Flow ◽  
Urban Rail ◽  
The Impact

Large-scale activities, holidays, and emergencies often cause a significantly large burst of passenger flow demand in some urban rail transit (URT) stations in a short time, called large passenger flow (LPF). The LPF will propagate through the entire URT network of the city. The impact of the frequent occurrence of LPF on network service levels is crucial and unpredictable. This article describes an analysis of how this LPF propagates through the entire network inspired by how radionuclide imaging is done in clinical medicine. In this study, with LPF of URT as the research object, a propagation model of LPF in URT based on AFC data, train operation data, and URT network topology data was developed, which was inspired by the concept of radionuclide imaging in clinical medicine. In the condition of obtaining the list of passenger route selection ratios, the dynamic propagation state matrix of the LPF in the network is solved. The contribution value matrix of the LPF was proposed to evaluate the impact of the LPF on the URT network. Considering the LPF in Chengdu East Railway Station, China, as an example, the propagation effect of LPF in the Chengdu Metro network was analyzed, and the effectiveness of the proposed model was confirmed.

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.

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.

Short-Time Calculation Method of Passenger Flows on Urban Rail Transit Island Platform

2014 ◽  
Vol 644-650 ◽  
pp. 2133-2136
Author(s):  
Tian Shi Li
Keyword(s):  
Probability Theory ◽  
Calculation Method ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Numerical Examples ◽  
Passenger Flow ◽  
Urban Rail ◽  
Time Calculation ◽  
Passenger Flows ◽  
Short Time

Because urban tail transit becomes the preferred way to travel for more travelers, the passenger flow of rail transit is increasing fast. Due to the increased passenger, the congestion on platform reduces the comfort and puts passengers in danger. This article analyses the model of island platform short-time arrivals based on the probability theory and historical statistics. The calculation method is studied and the Feasibility and algorithm is testified by setting numerical examples.

Influence of Emergency Passenger Flow Distribution in Urban Rail Network

2012 ◽  
Vol 450-451 ◽  
pp. 295-301 ◽  
Author(s):  
Ling Hong ◽  
Jia Gao ◽  
Rui Hua Xu
Keyword(s):  
Flow Distribution ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Abstract Model ◽  
Flow Volume ◽  
Rail Network ◽  
Passenger Flow ◽  
Urban Rail ◽  
Passenger Flows ◽  
Urban Rail Transit Network

The emergency disposal of urban rail transit needs to accurately estimate the emergency range and total affected passenger flow volume. The urban rail transit network could be simplified to an abstract model which is easy to be analyst based on the graph theory method. Considering the actual network back-turning lines and vehicle storage tracks of urban rail network, the emergency range could be estimated effectively. The affected passenger flow could be classified as different kinds based on the different paths of passenger flow. The classification of passenger flow mainly includes “delay passenger flow”, “detour passenger flow” and “loss passenger flow”. Considering the emergency range, the different affected passenger flows could be superposed over time based on the abstract model, then the affected passenger flow volume and virtual loss time could be calculated out. The results could provide basis for the emergency disposal in urban rail transit. The example analysis is verified the feasibility of this method.

scholarly journals RANDOM COEFFICIENT MODELING RESEARCH ON SHORT-TERM FORECAST OF PASSENGER FLOW INTO AN URBAN RAIL TRANSIT STATION

Transport ◽  
2016 ◽  
Vol 31 (1) ◽  
pp. 94-99 ◽  
Author(s):  
Xuesong Feng ◽  
Hemeizi Zhang ◽  
Tiantian Gan ◽  
Qipeng Sun ◽  
Fei Ma ◽  
...  
Keyword(s):  
Estimation Procedure ◽  
Random Coefficient ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Short Term ◽  
Metro Station ◽  
Factors Affecting ◽  
Urban Rail ◽  
Passenger Flows ◽  
Transit Station

Taking a representative metro station in Beijing as example, this research has newly developed a random coefficient model to predict the short-term passenger flows with sudden increases sometimes into an urban rail transit station. The hierarchical Bayesian approach is iteratively applied in this work to estimate the new model and the estimation outcomes in each of the iterative calibrations are improved by sequential Bayesian updating. It has been proved that the estimation procedure is able to effectively converge to rational results with satisfying accuracies. In addition, the model application study reveals that besides sufficient preparations in manpower, devices, etc.; the information of the factors affecting the passenger flows into an urban rail transit station should be timely transferred in advance from important buildings, road intersections, squares and so on in neighborhood to this station. In this way, this station is able to cope with the unexpectedly sharp increases of the passenger flows into the station to ensure its operation safety.

Research on the Common Rail Transport System Building in Integration System of Urban Rail Transit in Hohhot

2014 ◽  
Vol 599-601 ◽  
pp. 599-602 ◽  
Author(s):  
Cheng Bing Li ◽  
Yi Zhang ◽  
Rui Xue Guo
Keyword(s):  
Product Design ◽  
Transport System ◽  
Rail Transport ◽  
Urban Rail Transit ◽  
Common Rail ◽  
Rail Transit ◽  
Characteristic Analysis ◽  
Passenger Flow ◽  
Urban Rail ◽  
The Impact

Based on the impact analysis of common rail transportation on urban rail transit and comprehensive consideration of Hohhot, including passenger flow characteristic analysis and related product design principle, this paper studies the impact of common rail transport system on the urban rail transit and describes the product design of common rail transport system of Hohhot in two aspects: common rail train stop plan and the nature of the passenger flow, which is dedicated to provide relevant theoretical basis for the rail transit planning and construction of Hohhot in the future. Key words: the integration of urban rail transit; common rail transport; product design; Hohhot

Sign in / Sign up

Export Citation Format

Share Document