Driver-Based Adaptation of Vehicular Ad Hoc Networks for Design of Active Safety Systems
For designers of active safety systems in vehicular ad hoc networks, this work addresses the need for driver-adaptive communication protocols to reduce highway accidents.
This paper proposes individualizing vehicular communications based on driver characteristics and traffic information to improve collision warning systems. Simulations show that customizing channel access probabilities enhances performance by meeting delay requirements.
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.