Modeling on Dynamic Passenger Flow Distribution in Urban Mass Transit Network

Xiang-ming Yao (), Peng Zhao (), Ke Qiao () and Wei-jia Li ()
Additional contact information
Xiang-ming Yao: Beijing Jiaotong University
Peng Zhao: Beijing Jiaotong University
Ke Qiao: Beijing Jiaotong University
Wei-jia Li: Beijing Jiaotong University

A chapter in LISS 2012, 2013, pp 469-476 from Springer

Abstract: Abstract The spatial and temporal characteristics of passenger flow distribution in urban mass transit network are foundation and core for cooperative transportation organization. However urban mass transit is a complex and dynamic system, which is difficult to be described in a global mathematical model. In this thesis we put forward a simulation model based on multi-agent approach to analyze passenger flow distribution. Using real passenger flow data simulated in this system we verify accuracy and computation efficiency of the model. The simulation results show that it well depicts passengers’ whole travelling process and can be used to evaluate the strategies and status of network.

Keywords: Urban mass transit network; Dynamic passenger flow distribution; Simulation modeling (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32054-5_68

Ordering information: This item can be ordered from
http://www.springer.com/9783642320545

DOI: 10.1007/978-3-642-32054-5_68

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().