Advanced urban traffic control systems are often based on feed-back algorithms. For instance, current traffic control systems often operate on the basis of adaptive green phases and flexible co-ordination in road (sub) networks based on measured traffic conditions. However, these approaches are still not very efficient during unforeseen situations such as road incidents when changes in traffic are requested in a short time interval. Therefore, we need self-managing systems that can plan and act effectively in order to restore an unexpected road traffic situations into the normal order. A significant step towards this is exploiting Automated Planning techniques which can reason about unforeseen situations in the road network and come up with plans (sequences of actions) achieving a desired traffic situation. In this paper, we introduce the problem of self-management of a road traffic network as a temporal planning problem in order to effectively navigate cars throughout a road network. We demonstrate the feasibility of such a concept and discuss our preliminary evaluation in order to identify strengths and weaknesses of our approach and point to some promising directions of future research.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Towards application of automated planning in urban traffic control


    Beteiligte:
    Jimoh, Falilat (Autor:in) / Chrpa, Lukas (Autor:in) / McCluskey, Thomas Leo (Autor:in) / Shah, Shahin (Autor:in)


    Erscheinungsdatum :

    01.10.2013


    Format / Umfang :

    355194 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Towards Cooperative Motion Planning for Automated Vehicles in Mixed Traffic

    Naumann, Maximilian / Stiller, Christoph | ArXiv | 2017

    Freier Zugriff

    Automated Traffic Control for Sustainable Urban Mobility

    Sudhakaran, Pradeep / C R, Koushik / George, Josh G | IEEE | 2024


    Using Automated Planning for Traffic Signals Control

    Matija Gulić / Ricardo Olivares / Daniel Borrajo | DOAJ | 2016

    Freier Zugriff

    Automated planning for Urban traffic control: Strategic vehicle routing to respect air quality limitations

    Chrpa, Lukáš / Magazzeni, Daniele / McCabe, Keith et al. | IOS Press | 2016