Temporal and spatial variations of real-time traffic data in urban areas

DSpace/Manakin Repository

Show simple item record

dc.contributor.author Stathopoulos, A en
dc.contributor.author Karlaftis, M en
dc.date.accessioned 2014-03-01T02:42:02Z
dc.date.available 2014-03-01T02:42:02Z
dc.date.issued 2001 en
dc.identifier.issn 0361-1981 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30731
dc.subject Real-time Traffic en
dc.subject Spatial Variation en
dc.subject Urban Area en
dc.subject.classification Engineering, Civil en
dc.subject.classification Transportation en
dc.subject.classification Transportation Science & Technology en
dc.subject.other Computer simulation en
dc.subject.other Data reduction en
dc.subject.other Environmental impact en
dc.subject.other Intelligent vehicle highway systems en
dc.subject.other Mathematical models en
dc.subject.other Motor transportation en
dc.subject.other Urban planning en
dc.subject.other Intelligent transportation systems (ITS) en
dc.subject.other Highway traffic control en
dc.title Temporal and spatial variations of real-time traffic data in urban areas en
heal.type conferenceItem en
heal.identifier.primary 10.3141/1768-16 en
heal.identifier.secondary http://dx.doi.org/10.3141/1768-16 en
heal.language English en
heal.publicationDate 2001 en
heal.abstract Variations in traffic flow patterns can be very useful in helping intelligent transportation systems (ITS) provide drivers with useful and accurate route and travel-time information, in examining the potential benefits of flexible work hours, and in assessing the environmental effects of traffic congestion. Much of the work done toward examining temporal and spatial variations in traffic flow has concentrated on freeways, largely ignoring urban areas, where ITS strategies can have the most important effects. Addressed are the issues of temporal and spatial distributions and variations in real-time traffic flow by using data from 140 loop detectors from the greater Athens, Greece, urban area. The results indicate that the temporal distributions of traffic flows are nonnormal, and they vary by direction (toward, in, or away from the central business district) and time of day. This result has important implications in correctly calibrating the real-time simulation models used for volume and travel-time predictions. The results also indicate that traffic in Athens exhibits low seasonality, with lower traffic during the summer months, although traffic conditions are very similar for all weekdays but vary relative to the weekends and by time of day. en
heal.journalName Transportation Research Record en
dc.identifier.doi 10.3141/1768-16 en
dc.identifier.isi ISI:000176595000016 en
dc.identifier.issue 1768 en
dc.identifier.spage 135 en
dc.identifier.epage 140 en

Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record