Driver-Based Adaptation of Vehicular Ad Hoc Networks for Design of Active Safety Systems

TL;DR

This paper introduces a novel approach to personalize vehicular communication protocols in VANETs by incorporating driver-specific safety scores and traffic data, aiming to enhance active safety systems and reduce highway accidents.

Contribution

It presents a new method for customizing VANET communications based on driver characteristics and traffic information, a first in the field.

Findings

Packet success probability is derived considering interference, path loss, and fading.

Monte Carlo simulations show optimized channel access improves safety message delay performance.

Personalized VANET protocols enhance collision warning effectiveness.

Abstract

This paper studies the need for individualizing vehicular communications in order to improve collision warning systems for an N-lane highway scenario. By relating the traffic-based and communications studies, we aim at reducing highway traffic accidents. To the best of our knowledge, this is the first paper that shows how to customize vehicular communications to driver's characteristics and traffic information. We propose to develop VANET protocols that selectively identify crash relevant information and customize the communications of that information based on each driver's assigned safety score. In this paper, first, we derive the packet success probability by accounting for multi-user interference, path loss, and fading. Then, by Monte carlo simulations, we demonstrate how appropriate channel access probabilities that satisfy the delay requirements of the safety application result in noticeable performance enhancement.