Development and Simulation-based Testing of a 5G-Connected Intersection AEB System
This work aims to reduce intersection crashes and their economic cost for drivers by leveraging 5G and smart sensors, representing an incremental advancement in automotive safety.
This paper addresses straight-path intersection collisions by developing and testing two 5G-connected AEB systems against a commercial radar AEB. The systems, one integrating connectivity into an existing scheme and another fully utilizing 5G and smart sensor adherence estimation, showed improved safety performance in blind intersection and low adherence scenarios.
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.