Modelling a signal controlled traffic stream using cellular automata

Spyropoulou, I

dc.contributor.author	Spyropoulou, I	en
dc.date.accessioned	2014-03-01T01:26:41Z
dc.date.available	2014-03-01T01:26:41Z
dc.date.issued	2007	en
dc.identifier.issn	0968-090X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18175
dc.subject	Cellular automata	en
dc.subject	Saturation flow	en
dc.subject	Traffic flow models	en
dc.subject.classification	Transportation Science & Technology	en
dc.subject.other	Cellular automata	en
dc.subject.other	Computer simulation	en
dc.subject.other	Intersections	en
dc.subject.other	Railroad signal systems	en
dc.subject.other	Stochastic models	en
dc.subject.other	Saturation flow	en
dc.subject.other	Signal controlled traffic stream	en
dc.subject.other	Transportation models	en
dc.subject.other	Traffic control	en
dc.subject.other	cellular automaton	en
dc.subject.other	modeling	en
dc.subject.other	signal	en
dc.subject.other	stochasticity	en
dc.subject.other	traffic management	en
dc.title	Modelling a signal controlled traffic stream using cellular automata	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.trc.2007.04.001	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.trc.2007.04.001	en
heal.language	English	en
heal.publicationDate	2007	en
heal.abstract	Cellular automata models have formed the theory for the development of several transportation models to simulate various types of elements such as vehicles, pedestrians or even railway traffic. Furthermore, they have been applied to simulate several scenarios from very simple (freeway traffic) to rather complicated ones (lane reduction and signal optimisation). However, the properties of the model when used to simulate a signal controlled traffic stream have not been dealt with in great detail. This paper discusses several issues that arise while using the model for the simulation of traffic at signalised intersections. It also investigates the relationships between the randomisation parameter of the model, the model dynamics and the estimated saturation flow. For the deterministic version of the model, the formulas describing traffic quantities at the intersection are derived and are dependent on the desired speed - a parameter of the model. For the stochastic version, one can adopt several different approaches for the application of the randomisation rule, depending on the simulation needs. (C) 2007 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Transportation Research Part C: Emerging Technologies	en
dc.identifier.doi	10.1016/j.trc.2007.04.001	en
dc.identifier.isi	ISI:000248320200003	en
dc.identifier.volume	15	en
dc.identifier.issue	3	en
dc.identifier.spage	175	en
dc.identifier.epage	190	en