Rule-Based Graded Braking for Unsignalized Intersection Collision Avoidance via Vehicle-to-Vehicle Communication

Ignoring the complicated traffic condition and limited field-of-view at unsignalized intersection leave us a major challenge on preventing potential collision scenarios. This paper proposed a novel rule-based graded brake mechanism for intersection collision avoidance (ICA), using simulator-based techniques for combining the two-vehicle collision model and an automatic braking system. In particular, vehicle-to-vehicle communication was employed to ensure real-time interaction between the driving states of two vehicles, i.e., object vehicle and ego vehicle that identified as the controlled agent. Additionally, the intersection collision warning (ICW) threshold based on time to collision (TTC) was presented to warn in advance while a crash is determined. Collision scenario was constructed in PreScan simulation platform, and experimental results show the feasibility of the proposed method, and the two-stage braking strategy might accomplish stable and reliable performance for ICA.