A Public Conveyance Model and Analysis on Clustering of Vehicles

Akiyasu Tomoeda (), Katsuhiro Nishinari (), Debashish Chowdhury () and Andreas Schadschneider ()
Additional contact information
Akiyasu Tomoeda: University of Tokyo, Department of Aeronautics and Astronautics
Katsuhiro Nishinari: University of Tokyo, Department of Aeronautics and Astronautics
Debashish Chowdhury: Indian Institute of Technology, Department of Physics
Andreas Schadschneider: Universität zu Köln, Institut für Theoretische Physik

A chapter in Traffic and Granular Flow ’07, 2009, pp 407-412 from Springer

Abstract: Summary A new Public Conveyance Model (PCM) applicable to buses and trains is proposed in this study by using stochastic cellular automaton. We apply our PCM to the bus system and measure the efficiency of the system. By using mean field analysis, we estimate the average velocity and the waiting passengers in the low density limit. We have obtained the theoretical results which are in good agreement with numerical simulations. It is also observed clustering of vehicles which is caused by the time delay effect of passengers when they get on a vehicle. We have found that the big cluster of vehicles is divided into small clusters, by incorporating information of the number of vehicles between successive stops.

Date: 2009
References: Add references at CitEc
Citations:

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:978-3-540-77074-9_44

Ordering information: This item can be ordered from
http://www.springer.com/9783540770749

DOI: 10.1007/978-3-540-77074-9_44

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 ().