Evaluation of diversion strategies using dynamic traffic assignment

Antoniou, C; Koutsopoulos, HN; Ben-Akiva, M; Chauhan, AS

dc.contributor.author	Antoniou, C	en
dc.contributor.author	Koutsopoulos, HN	en
dc.contributor.author	Ben-Akiva, M	en
dc.contributor.author	Chauhan, AS	en
dc.date.accessioned	2014-03-01T01:35:39Z
dc.date.available	2014-03-01T01:35:39Z
dc.date.issued	2011	en
dc.identifier.issn	0308-1060	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21144
dc.subject	Dynamic traffic assignment	en
dc.subject	Incident management	en
dc.subject	Response strategies	en
dc.subject	Travel time reliability	en
dc.subject	Travel time savings	en
dc.subject.classification	Transportation Science & Technology	en
dc.subject.other	Dynamic traffic assignments	en
dc.subject.other	Incident Management	en
dc.subject.other	Response strategies	en
dc.subject.other	Travel time reliability	en
dc.subject.other	Travel time savings	en
dc.subject.other	Advanced traveler information systems	en
dc.subject.other	Information systems	en
dc.subject.other	Statistical tests	en
dc.subject.other	Traffic congestion	en
dc.subject.other	information system	en
dc.subject.other	prediction	en
dc.subject.other	reliability analysis	en
dc.subject.other	statistical analysis	en
dc.subject.other	traffic congestion	en
dc.subject.other	traffic management	en
dc.subject.other	travel time	en
dc.subject.other	New York [United States]	en
dc.subject.other	United States	en
dc.subject.other	Westchester County	en
dc.title	Evaluation of diversion strategies using dynamic traffic assignment	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/03081060.2011.565168	en
heal.identifier.secondary	http://dx.doi.org/10.1080/03081060.2011.565168	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	A framework for the evaluation of the effectiveness of traffic diversion strategies for non-recurrent congestion, based on predictive guidance and using dynamic traffic assignment, is presented. Predictive guidance is based on a short-term prediction of traffic conditions, incorporating user reaction to information and guidance. A case study of the Lower Westchester County network in New York State, using DynaMIT-P, is presented to illustrate the application of the framework. DynaMIT-P is capable of evaluating diversion strategies based on predicted conditions, which take into account drivers' response to traffic information. The case study simulates the operations of predictive variable message signs positioned in strategic locations. DynaMIT-P is calibrated for the study network and used to establish base conditions for two incident scenarios in the absence of advanced traveller information systems. The effectiveness of predictive diversion strategies is evaluated (using rigorous statistical tests) by comparing traffic conditions with and without diversion strategies. The empirical findings suggest that incident diversion strategies based on predictive guidance result in travel time savings and increased travel time reliability. © 2011 Taylor & Francis.	en
heal.publisher	TAYLOR & FRANCIS LTD	en
heal.journalName	Transportation Planning and Technology	en
dc.identifier.doi	10.1080/03081060.2011.565168	en
dc.identifier.isi	ISI:000289636300001	en
dc.identifier.volume	34	en
dc.identifier.issue	3	en
dc.identifier.spage	199	en
dc.identifier.epage	216	en