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

dc.creatorTomoeda, A.
dc.creatorNishinari, K.
dc.creatorChowdhury, D.
dc.creatorSchadschneider, A.
dc.date2007-04-12
dc.date2007-09-19
dc.date.accessioned2026-07-07T08:30:13Z
dc.date.available2026-07-07T08:30:13Z
dc.descriptionA 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.
dc.description8 pages, 15 figures
dc.identifierhttps://arxiv.org/abs/0704.1555
dc.identifierhttp://arxiv.org/abs/0704.1555
dc.identifierPhysica A vol.384 (2007) pp.600-612
dc.identifierdoi:10.1016/j.physa.2007.05.047
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/138188
dc.subjectPhysics and Society
dc.subjectStatistical Mechanics
dc.titleAn information-based traffic control in a public conveyance system: reduced clustering and enhanced efficiency
dc.typetext

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