Evaluation platform for 5G vehicular communications

Cellular vehicle to everything (C-V2X) communications is presented as the cornerstone for next-generation connected vehicles. C-V2X can support efficient vehicle to vehicle and vehicle to infrastructure data transmission, and is said to be a key enabler of cooperative connected and automated mobility (CCAM). Performance of 5G New Radio (5G-NR) is expected to address bandwidth and delay requirements of services for autonomous vehicles. This is the theory and what particular research works have showed through simulation or limited prototypes. On the contrary, this work focuses on evaluating real 5G deployments (including 5G-NR) of network operators in CCAM scenarios, with particular emphasis on cross-border settings and service continuity under inter-operator handovers. The paper presents an evaluation platform to gather cross-layer measurements, homogenise results, perform comparative assessment of figures of merit, and calculate network and CCAM key performance indicators (KPIs). The platform is evaluated through implementing a use case for autonomous overtaking, involving two 5G-NR operator deployments at the Spanish-Portuguese border. Results reveal good network performances and correct operation of the service, thanks to 5G-NR and edge servers, although significant impact of handovers is detected on network and overtaking KPIs.This work has been supported by the grants EC 825496 (5G-MOBIX), funded by the European Commission; PID2020-112675RBC41 (ONOFRE-3), funded by MCIN/AEI/10.13039/ 501100011033; RYC-2017-23823, funded by MCIN/AEI/10.13039/501100011033 and by “ESF Investing in your future”; PGE-MOVES-SING-2019-000104 (MECANO), funded by the Spanish Ministry for the Ecological Transition and the Demographic Challenge; and RED2018-102585-T (Go2Edge), funded by the Spanish Ministry of Science, Innovation and Universities

SUMO and oneM2M in AUTOPILOT: validation by simulation of a Traffic Light Assist C-ITS service for Platooning

International audienceInternet of Things is expected to progress Automated Driving beyond the state of the art to several Cooperative Intelligent Transport System services. In AUTOPILOT, a C-ITS service dedicated for car rebalancing in trial site Versailles named Traffic Light Assist has been developed. It aims to supervise platoon of autonomous vehicles and to provide useful decisions to cross intersections with traffic lights safely and without breaking the platoon. Since testing in real conditions is time and cost consuming and involves complex integration, the usage of simulation environment that can connects IoT to C-ITS is necessary to test components before actual tests and trial phases. SUMO is used to generate traffic data which are published into oneM2M in order to enable TLA to provide recommendations for platoon leading vehicle. Our approach using simulated environment showed multiple advantages and should be used for the development of future C-ITS or CCAM applications