Optimizing the release of passenger flow guidance information in urban rail transit network via agent-based simulation

In terms of urban rail transit network vulnerability, most studies have focused on the network topology characteristics and travel cost changes after network incidents and analyzed rail transit network independently. The neglects of passenger flow distributions on the network and alternative public transport modes under rail network disruptions would either underestimate or overestimate the vulnerability of rail transit network, and thus lead to inaccurate results and decisions. This study presents an accessibility-based measurement for urban rail transit network vulnerability analysis and explicitly accounts for rail passenger flow characteristics, travel cost changes, and alternative transit modes. It is shown that the proposed approach is capable of measuring the consequences on rail network, and the advantages of the accessibility method are demonstrated and compared. The methodology is applied to the urban rail transit network of Shenzhen, China within a multi-modal public transport network. Results reveal that the consequences of disruptions on network accessibility are obviously different for stations with different passenger flow characteristics, and some undisrupted stations are found to be vulnerable under surrounding station failures. The proposed methodology offers reliable measurements on rail transit network vulnerability and implications for decision-making under rail network disruptions.

Download Full-text

Design of Guidance Information for Arriving Passengers in Urban Rail Transit Carriage

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.858.255 ◽

2016 ◽

Vol 858 ◽

pp. 255-261

Author(s):

Ke Xin Huang ◽

Hao Nan Yan ◽

Yan Tao Gong ◽

Bo Bin Wang ◽

Chun Fu Shao

Keyword(s):

Simulation Software ◽

Urban Rail Transit ◽

Rail Transit ◽

Transit System ◽

Transit Network ◽

Urban Rail ◽

Transfer Stations ◽

Urban Rail Transit Network ◽

Guidance Information ◽

Guiding Effect

With the improvement of Beijing urban rail transit network, an increasing number of transfer stations come into being. The scale of the urban rail transit station becomes larger and the passenger flow volume increases dramatically which makes urban rail transit guidance information much more important. However, since the construction of urban rail transit system in China started relatively late, guiding sign system lacks of uniform standard and guidance information settings have many drawbacks so that it can hardly meet the demand of passengers. This paper, taking television as a carrier. And it gives the thought of removing guidance information to the carriage to serve arriving passengers in advance for best guiding effect. First, design a questionnaire and then issue questionnaires. Second, analyze the survey data and find out passengers’ demand for guidance information. Third, design a scheme on guidance information based on passengers’ demand. At last, use AnyLogic simulation software and select line 2 platform of Xizhimen station as a simulation environment to evaluate the effect of the scheme.

Download Full-text