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.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Temporal and Spatial Variations of Real-Time Traffic Data in Urban Areas


    Additional title:

    Transportation Research Record


    Contributors:


    Publication date :

    2001-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Temporal and Spatial Variations of Real-Time Traffic Data in Urban Areas

    Stathopoulos, A. / Karlaftis, M. / National Research Council | British Library Conference Proceedings | 2001



    Real Time Traffic Signal Optimization Control Method in Urban Areas

    Oda, T. / Yano, Y. / Mashiyama, Y. et al. | British Library Conference Proceedings | 1995


    Mining spatio-temporal patterns of congested traffic in urban areas from traffic sensor data

    Inoue, Ryo / Miyashita, Akihisa / Sugita, Masatoshi | IEEE | 2016


    Variations in urban traffic volumes

    Tom Thomas / Wendy Weijermars / Eric van Berkum | DOAJ | 2008

    Free access