Dangerously Driven Cars Need to Go First

TL;DR

This paper introduces a priority scheme for vehicle-to-everything communications that prioritizes dangerously driven cars based on driver distraction levels, aiming to reduce interference and improve safety.

Contribution

It presents a novel approach to prioritize V2X communication based on driver distraction, using a low-cost driving simulator to quantify distraction levels.

Findings

Distraction levels can be effectively measured via eye movement and motion.

Prioritizing risky drivers reduces communication interference.

Open source driving simulator facilitates scalable testing.

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.