Analytical framework for minimizing freeway-incident response time

Zografos Kostas, G; Nathanail, Teti; Michalopoulos, Panos

dc.contributor.author	Zografos Kostas, G	en
dc.contributor.author	Nathanail, Teti	en
dc.contributor.author	Michalopoulos, Panos	en
dc.date.accessioned	2014-03-01T01:41:48Z
dc.date.available	2014-03-01T01:41:48Z
dc.date.issued	1993	en
dc.identifier.issn	0733947X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/23644
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0027625992&partnerID=40&md5=9d1704774c96de3ce0b6e113e04bd0d2	en
dc.subject.other	Computer simulation	en
dc.subject.other	Highway administration	en
dc.subject.other	Highway traffic control	en
dc.subject.other	Mathematical models	en
dc.subject.other	Parameter estimation	en
dc.subject.other	Freeway incident management (FIM) programs	en
dc.subject.other	Freeway incident response time	en
dc.subject.other	Total incident clearance time	en
dc.subject.other	Traffic flow restoration units (TFRUs)	en
dc.subject.other	Highway accidents	en
dc.title	Analytical framework for minimizing freeway-incident response time	en
heal.type	journalArticle	en
heal.publicationDate	1993	en
heal.abstract	Freeway-incident-management (FIM) programs are receiving growing attention, since they have the potential of generating substantial savings for highway users. The goal of any incident-management program is the minimization of incident delay through the rapid restoration of the freeway capacity. The most important aspect of freeway-incident management is the servicing and the removal of the incidents. Currently a number of FIM programs use a fleet of trucks for the quick restoration of freeway capacity. Although the deployment of these traffic-flow restoration units (TFRUs) is an important component of freeway-management operations, the literature lacks analytical models that can be used to rationalize the deployment of the TFRUs. The present paper proposes an integrated methodological framework for the minimization of freeway-incident delays through the optimum deployment of TFRUs. The proposed model consists of three basic modules. The first module determines the number of required TFRUs and their service territories. The second module simulates the generation of freeway incidents and the traffic-flow restoration operations to estimate the total incident clearance time for each incident. Finally, the third module estimates the freeway-incident delay based on the total incident clearance time and the geometric and traffic characteristics of the freeway under study. The proposed model can be used to determine the number of TFRUs, and their dispatch policy, to achieve a threshold value of freeway-incident delay.	en
heal.journalName	Journal of Transportation Engineering	en
dc.identifier.volume	119	en
dc.identifier.issue	4	en
dc.identifier.spage	535	en
dc.identifier.epage	549	en