To support traffic authorities in the assessment of traffic signal strategies via simulation, we propose an approach that leverages on the strengths of automated planning knowledge models to generate accurate traffic simulators. By exploiting the sensors' readings of adaptive traffic control systems in operation in a region of interest, and the conciseness of planning knowledge models, the proposed approach can effectively simulate the impact that traffic signal strategies will have on the considered urban region. Our experimental analysis, performed using real-world historical data, shows that the accuracy of our simulated traffic conditions is within 10% of what was actually recorded by deployed sensors.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Leveraging Artificial Intelligence for Simulating Traffic Signal Strategies


    Contributors:


    Publication date :

    2022-10-08


    Size :

    482257 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Intersection Traffic Signal Utilizing Artificial Intelligence

    LIM YOUNG HAN / KIM HAE JONG | European Patent Office | 2021

    Free access

    Intersection Traffic Signal Utilizing Artificial Intelligence

    European Patent Office | 2022

    Free access

    Intersection Traffic Signal Utilizing Artificial Intelligence

    LIM YOUNG HAN / KIM HAE JONG | European Patent Office | 2021

    Free access

    Leveraging Artificial Intelligence to Enhance Port Operation Efficiency

    Dinh Gia Huy / Pham Hoang Thai / Nguyen Lam Canh et al. | DOAJ | 2024

    Free access

    Smart Traffic Signal Control System Using Artificial Intelligence

    Kumari, G. R. P. / Jahnavi, M. / Harika, M. et al. | Springer Verlag | 2023