MACROLEVEL ESTIMATION OF HIGHWAY LANE USAGE

GOLIAS, J; TSAMBOULAS, D

dc.contributor.author	GOLIAS, J	en
dc.contributor.author	TSAMBOULAS, D	en
dc.date.accessioned	2014-03-01T01:11:10Z
dc.date.available	2014-03-01T01:11:10Z
dc.date.issued	1995	en
dc.identifier.issn	0733-947X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11571
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Transportation Science & Technology	en
dc.title	MACROLEVEL ESTIMATION OF HIGHWAY LANE USAGE	en
heal.type	journalArticle	en
heal.identifier.primary	10.1061/(ASCE)0733-947X(1995)121:1(40)	en
heal.identifier.secondary	http://dx.doi.org/10.1061/(ASCE)0733-947X(1995)121:1(40)	en
heal.language	English	en
heal.publicationDate	1995	en
heal.abstract	A methodology is proposed and simple models are developed that estimate on a macrolevel the traffic volume distribution in highways lanes. The testing of the methodology and the models' calibration were done for different hourly volumes with data collected from highways in the Greater Athens area in Greece. The transferability and predictability of the models were shown by applying them to different highway traffic conditions. Thus, a useful, simple tool for traffic management is developed for usage by transportation planners and highway engineers: based on a macrolevel utilization of each traffic lane by the vehicles, the pavement maintenance can be scheduled accordingly, and better design of intersections could be accomplished by taking into account the traffic volume estimated to use each lane, especially the right one.	en
heal.publisher	ASCE-AMER SOC CIVIL ENG	en
heal.journalName	JOURNAL OF TRANSPORTATION ENGINEERING-ASCE	en
dc.identifier.doi	10.1061/(ASCE)0733-947X(1995)121:1(40)	en
dc.identifier.isi	ISI:A1995PY85600004	en
dc.identifier.volume	121	en
dc.identifier.issue	1	en
dc.identifier.spage	40	en
dc.identifier.epage	49	en