The global growth in urbanisation increases the demand for services including road transport infrastructure, presenting challenges in terms of mobility. These trends are occurring in the context of concerns around environmental issues of poor air quality and transport related carbon dioxide emissions. One out of several ways to help meet these challenges is in the intelligent routing of road traffic through congested urban areas.

    Our goal is to show the feasibility of using automated planning to perform this routing, taking into account a knowledge of vehicle types, vehicle emissions, route maps, air quality zones, etc. Specifically focusing on air quality concerns, in this paper we investigate the problem where the goals are to minimise overall vehicle delay while utilising network capacity fully, and respecting air quality limits. We introduce an automated planning approach for the routing of traffic to address these areas. The approach has been evaluated on micro-simulation models that use real-world data supplied by our industrial partner. Results show the feasibility of using AI planning technology to deliver efficient routes for vehicles that avoid the breaking of air quality limits, and that balance traffic flow through the network.


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    Title :

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


    Additional title:

    Vehicle routing to respect air quality limitations



    Published in:

    Intelligenza Artificiale ; 10 , 2 ; 113-128


    Publication date :

    2016-12-12


    Size :

    16 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English






    STRATEGIC DYNAMIC TRAFFIC ROUTING ALGORITHM FOR GLOBALLY OPTIMIZED URBAN TRAFFIC

    Richter, M. / Kabza, H. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2013


    Towards application of automated planning in urban traffic control

    Jimoh, Falilat / Chrpa, Lukas / McCluskey, Thomas Leo et al. | IEEE | 2013


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    Hershdorfer, A. M. | TIBKAT | 1965