In this paper, we present a congestion-aware route planning system. First we learn the congestion model based on real data from a fleet of taxis and loop detectors. Using the learned street-level congestion model, we develop a congestion-aware traffic planning system that operates in one of two modes: (1) to achieve the social optimum with respect to travel time over all the drivers in the system or (2) to optimize individual travel times. We evaluate the performance of this system using 10,000+ taxis trips and show that on average our approach improves the total travel time by 15%.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Congestion-aware Traffic Routing System using sensor data


    Contributors:
    Aslam, Javed (author) / Lim, Sejoon (author) / Rus, Daniela (author)


    Publication date :

    2012-09-01


    Size :

    1663759 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Traffic Congestion Re-Routing Control System Using Fuzzy Logic

    Patil, Spoorty S. / Soma, Shridevi | Springer Verlag | 2018


    Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic

    Wollenstein-Betech, Salomon / Houshmand, Arian / Salazar, Mauro et al. | IEEE | 2020


    Congestion-Aware Routing in Software Defined Vehicular Networks

    Nikhita, M / Mohan, Rajasekar | IEEE | 2023