Connected and Automated Vehicles (CAV) can leverage both physical sensing and wireless communications to improve road safety and efficiency. While standalone perception is practically limited by the range of on-board sensors and/or by the presence of obstacles that prevent seeing through, collective perception indeed allows vehicles to exchange -and even beyond, to fuse- information related to the obstacles they detect independently. In this paper, by means of system-level simulations, we analyze the performance of Vehicle-to-Network (V2N) connectivity based on the 5th Generation - New Radio (5GNR) as a support to Cooperative, Connected and Automated Mobility (CCAM), in the light of scalability concerns (as a function of the number of connected users). Focusing on a canonical centralized Cooperative Collision Avoidance (CoCA) use case, we assess the link reliability and the End-to-End latency of all the critical messages involved. Simulation results emphasize the potential of 5GNR connectivity to enable cooperative obstacles detection and thus accordingly, to improve vehicle’s/driver’s awareness (regarding distant vehicles, vulnerable road users, etc.).


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    Title :

    Evaluation of 5GNR-based Cooperative Collision Avoidance (CoCA)


    Contributors:


    Publication date :

    2023-06-01


    Size :

    1593086 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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