Dangerously Driven Cars Need to Go First

Abstract

We propose that dangerously driven vehicles take a higher priority in multiple access for vehicle-to-everything communications (V2X). As more vehicles communicate, it is one's easy anticipation that the air interface will be crowded and thus a high magnitude of interference occurs. In response to this issue, we propose to prioritize the multiple access according to the driver's risky behavior while driving. Specifically, we build a driving simulator that aims at capturing the driver's distraction. The level of distraction will be measured in terms of (i) eye movement and (ii) motion. We build a number of different traffic scenarios including suburban highway, urban junction, etc. This research features an open source-based, thus low-cost, implementation of the driving simulator. Then, we apply the quantified driver's distraction level to the optimization of V2X multiple access.