Automatic traffic signal control systems such as SCOOT try to optimise traffic signals to minimise delays to drivers. Although such systems work well in normal traffic flow, as a network becomes congested the ability to minimise delays is reduced. To improve this situation three systems have been developed: ASTRID, INGRID and MONACO. ASTRTD is a database that monitors a traffic network and provides detailed information to a network operator about historic traffic conditions. INGRID is an online incident detection system that recognises unusual levels of congestion and MONACO is an online monitoring system that analyses recurrent congestion problems and suggests possible solutions. In the future it is hoped to develop these systems to take automatic remedial action to remove the congestion or prevent it spreading further. (5 pages)


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Automatic incident detection and improved traffic control in urban areas


    Beteiligte:
    Palmer, J.P. (Autor:in) / Bowers, D.J. (Autor:in) / Wall, G.T. (Autor:in)

    Erscheinungsdatum :

    1995-01-01


    Format / Umfang :

    1 pages



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




    Automatic incident detection and improved traffic control in urban areas

    Bowers, D. J. / Palmer, J. P. / Wall, G. T. et al. | British Library Conference Proceedings | 1995


    Incident detection and traffic monitoring on urban areas

    Bretherton,R.D. / Bowen,G.T. / Transport and Road Research Lab.,GB | Kraftfahrwesen | 1991


    Traffic Monitoring and Incident Detection in Urban Areas

    Bretherton, R. D. / Bowen, G. T. / Bowers, D. J. et al. | British Library Conference Proceedings | 1995


    Effective variables for urban traffic incident detection

    Siripanpornchana, Chaiyaphum / Panichpapiboon, Sooksan / Chaovalit, Pimwadee | IEEE | 2015


    Automatic Incident Detection for Urban Expressways Based on Segment Traffic Flow Density

    Cheng, Yang / Zhang, Miao / Yang, Dongyuan | Taylor & Francis Verlag | 2015