Simulation-based dynamic traffic assignment for short-term planning applications

Sundaram, S; Koutsopoulos, HN; Ben-Akiva, M; Antoniou, C; Balakrishna, R

dc.contributor.author	Sundaram, S	en
dc.contributor.author	Koutsopoulos, HN	en
dc.contributor.author	Ben-Akiva, M	en
dc.contributor.author	Antoniou, C	en
dc.contributor.author	Balakrishna, R	en
dc.date.accessioned	2014-03-01T01:37:05Z
dc.date.available	2014-03-01T01:37:05Z
dc.date.issued	2011	en
dc.identifier.issn	1569-190X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21439
dc.subject	Intelligent Transportation Systems (ITS)	en
dc.subject	Simulation of driver behavior	en
dc.subject	Simulation-based dynamic traffic assignment (DTA)	en
dc.subject	Simulation-based transportation planning	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.other	Advanced traffic management systems	en
dc.subject.other	Advanced traveler information systems	en
dc.subject.other	California	en
dc.subject.other	Demand and supply	en
dc.subject.other	Driver behavior	en
dc.subject.other	Dynamic traffic assignments	en
dc.subject.other	Intelligent transportation systems	en
dc.subject.other	Mesoscopics	en
dc.subject.other	OD estimation	en
dc.subject.other	Short term planning	en
dc.subject.other	Simulation model	en
dc.subject.other	Simulation-based	en
dc.subject.other	Stochastic interaction	en
dc.subject.other	Travel behaviors	en
dc.subject.other	Differential thermal analysis	en
dc.subject.other	Highway traffic control	en
dc.subject.other	Intelligent systems	en
dc.subject.other	Transportation	en
dc.subject.other	Computer simulation	en
dc.title	Simulation-based dynamic traffic assignment for short-term planning applications	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.simpat.2010.08.004	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.simpat.2010.08.004	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	Evaluation of Intelligent Transportation Systems (ITS) at the planning level requires the use of appropriate tools that can capture the dynamic and stochastic interactions between demand and supply. The objective of this paper is to present a methodological simulation-based framework for such applications and implement it in the context of dynamic traffic assignment. The framework consists of a mesoscopic supply simulator and a demand simulator that combines OD estimation capabilities with discrete travel behavior models. Simulation-based DTA systems are particularly suited to evaluate a wide range of Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Systems (ATIS). The simulation model performance is illustrated through two large-scale case studies in Irvine, California, and Lower Westchester County, NY. © 2010 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Simulation Modelling Practice and Theory	en
dc.identifier.doi	10.1016/j.simpat.2010.08.004	en
dc.identifier.isi	ISI:000284987900033	en
dc.identifier.volume	19	en
dc.identifier.issue	1	en
dc.identifier.spage	450	en
dc.identifier.epage	462	en