Edge Dynamic Map architecture for C-ITS applications

TL;DR

This paper proposes an Edge Dynamic Map architecture for C-ITS that leverages MEC and V2X communications, demonstrating real-time data management and low-latency message processing through a proof-of-concept and traffic simulations.

Contribution

It introduces a novel EDM architecture for V2X communications and implements a real-time system using TSDB, evaluated with traffic simulations for C-ITS applications.

Findings

System supports real-time data insertion and querying.

Demonstrates scalability with thousands of virtual vehicles.

Achieves low-latency processing suitable for cooperative driving.

Abstract

Cooperative Intelligent Transport Systems (C-ITS) create, share and process massive amounts of data which needs to be real-time managed to enable new cooperative and autonomous driving applications. Vehicle-to-Everything (V2X) communications facilitate information exchange among vehicles and infrastructures using various protocols. By providing computer power, data storage, and low latency capabilities, Multi-access Edge Computing (MEC) has become a key enabling technology in the transport industry. The Local Dynamic Map (LDM) concept has consequently been extended to its utilisation in MECs, into an efficient, collaborative, and centralised Edge Dynamic Map (EDM) for C-ITS applications. This research presents an EDM architecture for V2X communications and implements a real-time proof-of-concept using a Time-Series Database (TSDB) engine to store vehicular message information. The performance evaluation includes data insertion and querying, assessing the system's capacity and scale for low-latency Cooperative Awareness Message (CAM) applications. Traffic simulations using SUMO have been employed to generate virtual routes for thousands of vehicles, demonstrating the transmission of virtual CAM messages to the EDM.