Development and Simulation-based Testing of a 5G-Connected Intersection AEB System

TL;DR

This paper presents the development and simulation testing of 5G-connected intersection AEB systems that leverage connectivity and smart sensors to improve safety at intersections, showing promising results in collision avoidance.

Contribution

It introduces two novel connectivity-based algorithms for intersection collision avoidance, integrating 5G communication and smart sensors, and compares their performance to existing radar-based systems.

Findings

Both algorithms improve safety performance in tests.

Connectivity enhances collision avoidance capabilities.

Smart sensors provide valuable adherence estimation.

Abstract

In Europe, 20% of road crashes occur at intersections. In recent years, evolving communication technologies are making V2V and V2I faster and more reliable; with such advancements, these crashes, as well as their economic cost, can be partially reduced. In this work, we concentrate on straight path intersection collisions. Connectivity-based algorithms relying on 5G technology and smart sensors are presented and compared to a commercial radar AEB logic in order to evaluate performances and effectiveness in collision avoidance or mitigation. The aforementioned novel safety systems are tested in a blind intersection and low adherence scenario. The first algorithm proposed is obtained by incorporating connectivity information to the original control scheme, while the second algorithm proposed is a novel control logic fully capable of utilizing also adherence estimation provided by smart sensors. Test results show an improvement in terms of safety for both the architecture and high prospects for future developments.