Edge-based Safety Intersection Assistance Architecture for Connected Vehicles

Cooperative Intelligent Transportation Systems (C-ITS) are being developed to enable information exchange among vehicles and between vehicles and the roadside infrastructure. C-ITS are regarded as a base technology to reduce road accidents and improve traffic efficiency sustainably. Driving in unsignalized intersections is a significant problem for drivers due to many accidents registered on such roads. In this paper, we aim to solve this problem by proposing an Intersection Assistance System (IAS) that helps C-ITS drivers crossing the intersection more safely. Our solution, namely ESIAS (Edge-based Safety Intersection Assistance System), uses an edge-computing architecture to process efficiently the data offloaded by sensors (cameras/lidars) installed on road intersections. Our solution's performance is evaluated through different simulation scenarios by calculating the number of avoided accidents in each scenario. The results show that ESIAS can effectively reduce 80% of potential accidents.