Demo: A Mobile Edge Computing-based Collision Avoidance System for Future Vehicular Networks

Abstract

Mobile Edge Computing (MEC) is a key enabler for the deployment of vehicular use cases, as it guarantees low latency and high bandwidth requirements. In this paper, we propose a MEC-based cooperative Collision Avoidance (MECAV) system designed to anticipate the detection and localization of road hazards. It includes a Collision Avoidance service, allocated in the MEC infrastructure, which receives information of status and detected hazards from vehicles, processes this information, and selectively informs to each vehicle that either approaches to road hazards or to other vehicles. We have implemented a proof-of-concept of the MECAV system and we have validated its architecture and functionalities.