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.).
Evaluation of 5GNR-based Cooperative Collision Avoidance (CoCA)
2023-06-01
1593086 byte
Conference paper
Electronic Resource
English