Methodology for processing archived ITS data for reliability analysis in urban networks

Stathopoulos, A; Tsekeris, T

dc.contributor.author	Stathopoulos, A	en
dc.contributor.author	Tsekeris, T	en
dc.date.accessioned	2014-03-01T01:55:26Z
dc.date.available	2014-03-01T01:55:26Z
dc.date.issued	2006	en
dc.identifier.issn	17480248	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27732
dc.subject.other	Data acquisition	en
dc.subject.other	Intelligent agents	en
dc.subject.other	Mathematical models	en
dc.subject.other	Statistical methods	en
dc.subject.other	Advanced Traffic Management Systems	en
dc.subject.other	Intelligent Transport Systems	en
dc.subject.other	Traffic volatility	en
dc.subject.other	Travel reliability	en
dc.subject.other	Traffic control	en
dc.title	Methodology for processing archived ITS data for reliability analysis in urban networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1049/ip-its:20055002	en
heal.identifier.secondary	http://dx.doi.org/10.1049/ip-its:20055002	en
heal.publicationDate	2006	en
heal.abstract	Advanced traffic monitoring and control systems constitute the core of Intelligent Transport Systems deployed in metropolitan areas. This study presents a methodology to exploit large amounts of traffic flow data collected by such a system for analysing travel reliability in urban networks. Travel reliability is described here through the measures of network-wide traffic variability and corridor traffic volatility. The analysis of these measures is undertaken within illustrative computational examples, which employ suitable statistical tests and time series models applied into the road network of Athens, Greece. The results lead to identifying hierarchical levels of variability at the whole network and different types of traffic volatility in an urban corridor. The paper discusses the potential benefits of the methodology to enhance the deployment of Advanced Traffic Management Systems and Advanced Traveller Information Systems in urban areas.	en
heal.journalName	IEE Proceedings: Intelligent Transport Systems	en
dc.identifier.doi	10.1049/ip-its:20055002	en
dc.identifier.volume	153	en
dc.identifier.issue	1	en
dc.identifier.spage	105	en
dc.identifier.epage	112	en