An information-based traffic control in a public conveyance system: reduced clustering and enhanced efficiency

Tomoeda, Akiyasu ; Nishinari, Katsuhiro ; Chowdhury, Debashish ; Schadschneider, Andreas (2007) An information-based traffic control in a public conveyance system: reduced clustering and enhanced efficiency Physica A: Statistical Mechanics and its Applications, 384 (2). pp. 600-612. ISSN 0378-4371

Full text not available from this repository.

Official URL: http://linkinghub.elsevier.com/retrieve/pii/S03784...

Related URL: http://dx.doi.org/10.1016/j.physa.2007.05.047

Abstract

A new public conveyance model applicable to buses and trains is proposed in this paper by using stochastic cellular automaton. We have found the optimal density of vehicles, at which the average velocity becomes maximum, significantly depends on the number of stops and passengers behavior of getting on a vehicle at stops. The efficiency of the hail-and-ride system is also discussed by comparing the different behavior of passengers. Moreover, we have found that a big cluster of vehicles is divided into small clusters, by incorporating information of the number of vehicles between successive stops.

Item Type:Article
Source:Copyright of this article belongs to European Physical Society.
Keywords:Traffic; Traffic Control; Public Conveyance; Bus Route Model; Asymmetric Simple Exclusion Process; Cellular Automation
ID Code:8018
Deposited On:25 Oct 2010 09:52
Last Modified:03 Feb 2011 04:12

Repository Staff Only: item control page