scholarly journals Visual Analytic Method for Metro Anomaly Detection and Diffusion

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Yunhui Li ◽  
Yong Zhang ◽  
He Shi ◽  
Yun Wei ◽  
Baocai Yin
Keyword(s):  
Traffic Management ◽  
Rapid Development ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Analytic Method ◽  
Visual Metaphor ◽  
Transit System ◽  
Passenger Flow ◽  
Anomalous Propagation ◽  
And Diffusion

With the rapid development of urbanization in recent years, thousands of people have flooded into the city, which has brought tremendous pressure on the supervision and operation of relevant traffic management departments. In particular, the unexpected events in the urban rail transit system have caused great troubles for city managers. Aiming at the problem of abnormal passenger flow in the metro, this paper proposes a visual analytic method to support the abnormal passenger flow detection, verification, and diffusion analysis in the metro system. The method provides an intuitive visual metaphor and allows users to perform simple interactive operations to verify abnormal passenger flow. In addition, the method reveals the diffusion law of abnormal passenger flow in time and space in a two-dimensional diffusion view. The Beijing Rail Transit AFC data are used to validate the developed system, and two reliable analysis cases are presented. The system can help users quickly grasp the abnormal propagation rules and help them to develop different scheduling strategies for different anomalous propagation paths.

scholarly journals Passengers Flow Forecasting Model of Urban Rail Transit Based on the Macro-Factors

2012 ◽  
Vol 6-7 ◽  
pp. 688-693 ◽  
Author(s):  
Bin Shang ◽  
Xiao Ning Zhang
Keyword(s):  
Real Data ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Estimation Model ◽  
Population Total ◽  
Transit System ◽  
The Real ◽  
Passenger Flow ◽  
Urban Rail ◽  
Multiple Variables

In China, many cities are planning urban rail transit system, but a comprehensive passenger flow estimation model is still lacking. The total passenger flow of urban rail transit in a city depends on many factors, such as urban population, total length of rail lines, gross domestic production of the city etc. To estimate the total passenger flow of urban rail transit, a linear regression model with multiple variables is established in the paper, based on the real data collected in many cities with urban rail transit operating. The comparison of the estimated flow and the real flow in many cities shows that the model is very accurate in passenger flow forecasting.

scholarly journals Optimum Equilibrium Passenger Flow Control Strategies with Delay Penalty Functions under Oversaturated Condition on Urban Rail Transit

2021 ◽  
Vol 2021 ◽  
pp. 1-27
Author(s):  
Yonghao Yin ◽  
Dewei Li ◽  
Kai Zhao ◽  
Ruixia Yang
Keyword(s):  
Flow Control ◽  
Simulated Annealing Algorithm ◽  
Control Strategies ◽  
Penalty Functions ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit System ◽  
Passenger Flow ◽  
Urban Rail ◽  
Linear Delay

When passengers are oversaturated in the urban rail transit system and a further increase of train frequency is impossible, passenger flow control strategy is an indispensable approach to avoid congestion and ensure safety. To make the best use of train capacity and reduce the passenger waiting time, coordinative flow control is necessary at each station on a line. In most published studies, the equilibrium of passenger distributions among different stations and periods is not considered. As a result, two issues occur making it hard to implement in practical. First, a large number of passengers are held up outside a small number of stations for very long time. Second, there is a large variation of controlled flows for successive time intervals. To alleviate this problem, a single-line equilibrium passenger flow control model is constructed, which minimizes the total passenger delay. By applying different forms of the delay penalty function (constant and linear), flow control strategies such as independent flow control and equilibrium flow control can be reproduced. An improved simulated annealing algorithm is proposed to solve the model. A numerical case is studied to analyze the sensitivity of the functions, and the best parameter relationship in different functions could be confirmed. A real-world case from Batong Line corridor in Beijing subway is used to test the applicability of the model and algorithm, and the result shows that the solution with linear delay penalty functions can not only reduce the total passenger delay but also equilibrate the number of flow control passengers on spatial and temporal.

A cooperative evacuation strategy for mass passenger flow in urban rail transit transfer stations

2020 ◽  
pp. 2150007
Author(s):  
Jia Hong-Fei ◽  
Sang Heng ◽  
Luo Qing-Yu ◽  
Yang Jin-Ling ◽  
Miao Hong-Zhi
Keyword(s):  
Real Life ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Nsga Ii ◽  
Transit System ◽  
Passenger Flow ◽  
Evacuation Strategy ◽  
Urban Rail ◽  
The Status ◽  
Transfer Stations

In reviewing the evacuation problem of mass passenger flow in urban rail transit transfer stations, the cooperative evacuation strategy considering urban rail transit and emergency bus simultaneously is found to be an efficient way. In this work, firstly, the dynamic characteristics of mass passenger flow are analyzed based on the abstraction and simplification of major entities of urban rail transit, including passengers, stations and trains. Then, the operations of the urban rail transit system are modeled, including the boarding, landing and transferring processes of the passengers and the status updating flows of the trains and stations. To realize the cooperative evacuation, a multi-objective optimization model considering the evacuation speed, the number of passengers transferred, and the amount of emergency buses is proposed. The NSGA-II algorithm is adopted to solve the proposed model, which can balance the theoretical validity and computational convenience. Last, the proposed strategy is applied in a real-life case based on the Shanghai Metro line, and the results verify its effectiveness and efficiency.

scholarly journals Holiday Destination Choice Behavior Analysis Based on AFC Data of Urban Rail Transit

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Chang-jun Cai ◽  
En-jian Yao ◽  
Sha-sha Liu ◽  
Yong-sheng Zhang ◽  
Jun Liu
Keyword(s):  
Behavior Analysis ◽  
Choice Behavior ◽  
Travel Demand ◽  
Choice Model ◽  
Urban Rail Transit ◽  
Destination Choice ◽  
Rail Transit ◽  
Transit System ◽  
Passenger Flow ◽  
Urban Rail

For urban rail transit, the spatial distribution of passenger flow in holiday usually differs from weekdays. Holiday destination choice behavior analysis is the key to analyze passengers’ destination choice preference and then obtain the OD (origin-destination) distribution of passenger flow. This paper aims to propose a holiday destination choice model based on AFC (automatic fare collection) data of urban rail transit system, which is highly expected to provide theoretic support to holiday travel demand analysis for urban rail transit. First, based on Guangzhou Metro AFC data collected on New Year’s day, the characteristics of holiday destination choice behavior for urban rail transit passengers is analyzed. Second, holiday destination choice models based on MNL (Multinomial Logit) structure are established for each New Year’s days respectively, which takes into account some novel explanatory variables (such as attractiveness of destination). Then, the proposed models are calibrated with AFC data from Guangzhou Metro using WESML (weighted exogenous sample maximum likelihood) estimation and compared with the base models in which attractiveness of destination is not considered. The results show that theρ2values are improved by 0.060, 0.045, and 0.040 for January 1, January 2, and January 3, respectively, with the consideration of destination attractiveness.

Research of Emergency Passenger Flow Guidance for Urban Rail Transit

2014 ◽  
Vol 543-547 ◽  
pp. 4069-4072
Author(s):  
Ming Mei Jiang ◽  
Jun Fang Jia
Keyword(s):  
Urban Rail Transit ◽  
Guidance System ◽  
Rail Transit ◽  
Transit System ◽  
Factors Affecting ◽  
Transit Network ◽  
Passenger Flow ◽  
Urban Rail ◽  
Urban Mass Transit ◽  
Urban Rail Transit Network

Emergency is one of the main factors affecting the operation security and reliability of urban mass transit system. In order to improve the ability to copy with sudden accident, the Emergency Passenger Flow Guidance System was adopted, which can realize the effective guide of passenger flow under the emergency. On the basic of the study of passenger guidance technology and the design of the passenger guidance system, this paper takes Beijing urban rail transit network as an example to simulate the process of emergency passenger flow guidance. The result shows that the passenger guidance can ensure the security and open of the urban rail transit network to some extent through effecting passengers' travel plans.

scholarly journals Problems and Countermeasures of Urban Rail Transit Construction in China

2020 ◽  
Vol 6 (2) ◽  
pp. 30
Author(s):  
Jingzhi Guo
Keyword(s):  
Traffic Congestion ◽  
Rapid Development ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Planning ◽  
Transit System ◽  
Financing Mode ◽  
Urban Rail ◽  
Investment And Financing

In the 21st century, the over dependence on cars in China’s urban development has led to a series of problems, which have seriously affected the development of contemporary cities. The problem of communication has become the bottleneck of the development of many cities in China. Therefore, the rise of urban rail transit is an inevitable trend. The construction and development of rail transit is an effective way to solve urban diseases, such as traffic congestion, traffic pollution, poor green travel environment and difficult parking. In the period of great development opportunity of rail transit, it is necessary to discuss how to scientifically plan urban rail transit system, promote urban intensive development and improve urban traffic conditions. Combined with the current situation of rapid development of urban rail transit in China, this article analyzes the main problems existing in the development of urban rail transit at present, and puts forward the guiding ideology and main countermeasures for the development of urban rail transit in the future: do what you can and develop steadily to effectively avoid the hidden dangers brought about by blind development; further strengthen the scientific nature of urban rail transit planning and maintain the seriousness of planning; further improve the investment and financing mode of urban rail transit. Some suggestions are also put forward for the key problems to be solved in the near future.

scholarly journals Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Yuedi Yang ◽  
Jun Liu ◽  
Pan Shang ◽  
Xinyue Xu ◽  
Xuchao Chen
Keyword(s):  
Travel Demand ◽  
Urban Rail Transit ◽  
Estimation Methods ◽  
Accurate Estimation ◽  
Rail Transit ◽  
Travel Demand Management ◽  
Transit System ◽  
Passenger Flow ◽  
Urban Rail ◽  
Proposed Model

At present, the existing dynamic OD estimation methods in an urban rail transit network still need to be improved in the factors of the time-dependent characteristics of the system and the estimation accuracy of the results. This study focuses on predicting the dynamic OD demand for a time of period in the future for an urban rail transit system. We propose a nonlinear programming model to predict the dynamic OD matrix based on historic automatic fare collection (AFC) data. This model assigns the passenger flow to the hierarchical flow network, which can be calibrated by backpropagation of the first-order gradients and reassignment of the passenger flow with the updated weights between different layers. The proposed model can predict the time-varying OD matrix, the number of passengers departing at each time, and the travel time spent by passengers, of which the results are shown in the case study. Finally, the results indicate that the proposed model can effectively obtain a relatively accurate estimation result. The proposed model can integrate more traffic characteristics than traditional methods and provides an effective and hierarchical passenger flow estimation framework. This study can provide a rich set of passenger demand for advanced transit planning and management applications, for instance, passenger flow control, adaptive travel demand management, and real-time train scheduling.

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