This paper introduces SumoWare, an interface integrating state-of-the-art platforms, SUMO and Autoware, to enable realistic evaluation of autonomous vehicle (AV) behavior in diverse traffic scenarios. Addressing the critical need for flexible and reproducible testing environments, SumoWare establishes seamless bidirectional communication, ensuring precise synchronization between the two systems. Experimental results demonstrate strong spatiotemporal consistency between the platforms and, based on a case study, reveal the implications of default conservative AV behavior on traffic flow, including reduced capacity and earlier congestion. These findings highlight the pressing need to refine planning and control strategies to mitigate the overly cautious nature of AV systems and optimize their integration into real-world traffic.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    SumoWare: Bridging SUMO and Autoware to Assess AV-Induced Traffic Impact


    Contributors:


    Publication date :

    2025-06-22


    Size :

    1586856 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Sumonity: Bridging SUMO and Unity for Enhanced Traffic Simulation Experiences

    Mathias Pechinger / Johannes Lindner | DOAJ | 2024

    Free access

    Microscopic Traffic Simulation using SUMO

    Lopez, Pablo Alvarez / Behrisch, Michael / Bieker-Walz, Laura et al. | IEEE | 2018


    ToST: Tokyo SUMO Traffic Scenario

    Yamazaki, Yuji / Tamura, Yasumasa / Defago, Xavier et al. | IEEE | 2023


    SUMO in SPACE: Combining SUMO and dSPACE for Advanced Traffic Simulation

    Christopher Stang / Dennis Roeser | DOAJ | 2025

    Free access