Vehicle-to-vehicle message sender identification for co-operative driver assistance systems

A growing number of vehicles are equipped with Vehicle-to-vehicle (V2V) communication modules (e.g., Dedicated Short Range Communications) that allow them to exchange messages over the network. The V2V communication is expected to improve the road safety by overcoming limitation of conventional Advanced Driver Assistance Systems (ADASs). For a safe feature using V2V communication-based applications, it is essential to identify sender vehicles since V2V communication is typically implemented using a broadcast mechanism. Especially here, our focus is to correctly determine whether the preceding vehicle is the sender of the received message or not in order to realize cooperative driving such as platooning. Vehicle location information obtained by an onboard GPS module is typically used for the identification. However, the GPS module often provides wrong location information due to the limited accuracy in a certain environment such as an urban road surrounded by tall buildings. To prevent this GPS error from causing misidentifications, we propose a novel method which additionally uses shared ranging sensor data and behavioral control of the ego vehicle. Simulation result shows that our proposed method successfully reduces the number of misidentifications by 64 % compared with a method which fully depends on GPS information.