Autonomous Vehicles (AVs) and Connected Autonomous Vehicles (CAVs) are being widely tested and rapidly developed over the past few years. With the development and increasing number of AVs and CAVs in mixed traffic flow, it is necessary to analyze their impact on traffic safety, flow, speed, fuel consumption, and emissions. Also, appropriate traffic control algorithms need to be developed before they can be fully implemented and integrated into the traffic environment. To do so, such mixed traffic flows must be simulated in various traffic scenarios. Traffic flow simulators paired with communication network simulators are commonly used to perform multiple simulations of such traffic flows. In this paper, three often used traffic simulators VISSIM, AIMSUN, and SUMO paired with network simulators NS-3 and OMNET++ with their features to model AVs and CAVs in a simulation environment are analyzed. According to currently available and tested simulators in the research community, the most used ones were compared. Results of the synthesized technical aspects of each suggest that AIMSUN Next is more suitable for a less complex traffic model. At the same time, VISSIM is more suitable for a more complex traffic model.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Traffic Flow Simulators with Connected and Autonomous Vehicles: A Short Review


    Additional title:

    EcoProduction


    Contributors:

    Published in:

    Publication date :

    2021-02-23


    Size :

    16 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Systematic literature review of vehicular traffic flow simulators

    Mubasher, Mian Muhammad / Syed Waqar ul Qounain, Jaffry | IEEE | 2015


    Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling

    Ammar Jafaripournimchahi / Yingfeng Cai / Hai Wang et al. | DOAJ | 2022

    Free access


    Towards Hybrid Traffic Laws for Mixed Flow of Human-Driven Vehicles and Connected Autonomous Vehicles

    Kraicer, Tal / Haddad, Jack / Karaps, Erez et al. | ArXiv | 2025

    Free access