The focus of this paper is on modeling and assessing the influence of connected and automated vehicle (CAV) penetration levels on a freeway (I 85) and an urban arterial (NC 49) road operational performance. The real-world speed, traffic volume, and signal data obtained for a small network in Charlotte, North Carolina, were used to develop and calibrate the non-CAV environment simulation model. The driving behavior, acceleration/deceleration profiles, time headway, and space headway were modified to calibrate the simulation model under non-CAV environment. Different scenarios with varying penetration levels of CAV and non-CAV environment (0% to 100%, increments of 20) were built and compared for each road facility. The macroscopic traffic flow parameters, viz., speed, flow, and occupancy (traffic concentration, an indicator of density), were computed and evaluated for different scenarios under a steady state condition. The results help understand the benefits of CAV deployment at an aggregate level by road facility type.


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    Titel :

    Assessing the Operational Performance on Different Road Facilities under CAV and Non-CAV Environment


    Beteiligte:

    Kongress:

    International Conference on Transportation and Development 2021 ; 2021 ; Virtual Conference



    Erscheinungsdatum :

    2021-06-04




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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