Modelling cascade dynamics of passenger flow congestion in urban rail transit network induced by train delay

نویسندگان

چکیده

A research into congestion propagation mechanism of urban rail transit passenger flow in train delay scenario is great significance to the formulation coordinated limitation measures among operation lines networks. This paper presents a methodology for modelling cascade dynamics congestion. In this method, firstly, computing method network states based on load entropy proposed describe overall conditions network. Secondly, developed and computation formulas capacity nodes have been established combining with comprehensive consideration nodes’ topological attributes. Thirdly, Trip Betweenness Centrality calculated. Considering function line distribution strategy, calculate state transition real case study Beijing Metro Line 10 used demonstrate methodology. The results show that values distances from initial failure can be determined spreading scope disrupted metro adjacent lines.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Passenger Flow Forecast Algorithm for Urban Rail Transit

To exactly forecast the urban rail transit passenger flow, a multi-level model combining neural network and Kalman filter was proposed. Firstly, ELAN neural network model was introduced to implement a preliminary forecast of the passenger flow. Then the Kalman filter was used to correct the preliminary forecast results, so as to further improve the accuracy. Finally, in order to validate the pr...

متن کامل

Wavelet Neural Network-based Short-Term Passenger Flow Forecasting on Urban Rail Transit

Accurate forecasting of short-term passenger flow has been one of the most important issues in urban rail transit planning and operation. Considering the shortcomings of traditional forecasting methods, and in order to improve forecasting accuracy of passenger flow, this paper presents a wavelet neural network (WNN) for short-term passenger flow forecasting. One real urban rail transit station ...

متن کامل

Modeling and Simulation of Passenger Flow Distribution in Urban Rail Transit Hub Platform

1 School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China; [email protected] 2 State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China 3 Beijing Research Center of Urban Traffic Information Sensing and Service Technologies, Beijing Jiaotong University, Beijing 100044, China * Correspondence: [email protected]...

متن کامل

The modeling of attraction characteristics regarding passenger flow in urban rail transit network based on field theory

Aimed at the complicated problems of attraction characteristics regarding passenger flow in urban rail transit network, the concept of the gravity field of passenger flow is proposed in this paper. We establish the computation methods of field strength and potential energy to reveal the potential attraction relationship among stations from the perspective of the collection and distribution of p...

متن کامل

The Optimization Model and Algorithm for Train Connection at Transfer Stations in Urban Rail Transit Network

In urban rail transit network, the passenger transfer time depends on the train connection states in transfer stations, so the optimization of the connection relations of arrival and departure time among trains is significant to improve the level of transfer service. Here, with the psychology of waiting passengers taken into consideration, the cost function of transfer waiting times has been es...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: alexandria engineering journal

سال: 2022

ISSN: ['2090-2670', '1110-0168']

DOI: https://doi.org/10.1016/j.aej.2022.02.022