An Inter-operable and Multi-protocol V2X Collision Avoidance Service based on Edge Computing

Abstract

In order to improve road safety, modern vehicles are equipped with smart sensors and Vehicle-to-Everything (V2X) communication technologies that facilitate the exchange of data (e.g., location, speed, road hazards) with other vehicles, the road infrastructure, and pedestrians, thus extending the range of perception beyond the capabilities of on-board sensors. All these data can be processed by a Collision Avoidance service deployed in a mobile edge computing (MEC) platform to guarantee low latency in the detection and localization of road hazards. In this paper, we propose a Collision Avoidance service based on Vanetza, an opensource ETSI ITS protocol stack, and demonstrate its operation using already developed experimental On-Board Units (OBUs) that communicate with the Collision Avoidance service over UDP and MQTT to exchange ETSI ITS messages encoded in ASN.1 and JSON format, respectively. We measure the application-level latency and we observe the benefit of our proposed approach in terms of latency reduction by a factor of 12 with respect to the literature.

Introducing end-to-end location awareness in packet-optical networks

“…Several challenges need to be overcome when looking at the deployment of Cooperative, Connected and Automated Mobility (CCAM) services over a distributed edge and cloud infrastructure [1] . Firstly, we need unified computing, storage, and networking resources management.…”

Multi-Agent-Deep-Reinforcement-Learning-Enabled Offloading Scheme for Energy Minimization in Vehicle-to-Everything Communication Systems

“…Supported by 6G, vehicle-to-everything (V2X) with the requirements of low communication delay is an instrumental element of future connected autonomous vehicles [2]. This promising technology can obtain the location and speed of vehicles and road hazards, reduce traffic accidents and improve road safety [3,4], and has gained significant interest from vehicle manufacturers, researchers and scientific communities [5]. However, as intelligent applications, i.e., in-vehicle Internet access and cooperative collision warning [6], high mobility of the device [7] and low-latency requirements [8], using V2X technology to handle computation-intensive tasks that require a large amount of data computation and communication resources is a challenge [9].…”