2 research outputs found

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

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    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.Comment: A major reason: Since now CV2X has considerable advantages over 802.11p and it can be the next specification used for V2X communication, I'd like to withdraw this paper in order to make it easier for the readers to find the best papers in the area. See: https://www.qualcomm.com/news/onq/2018/04/25/lets-set-record-straight-c-v2

    The Effect of Interference in Vehicular Communications on Safety Factors

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    This paper studies how the interference of vehicular communications affects the safety of vehicles in a vehicular ad hoc network. Different signal propagation models with and without carrier sensing are considered for the dissemination of periodic safety messages. Then, by employing the results for different packet success probability of the vehicles, we compare the expected collision probability of vehicles for different signal fading models. Our results show how the collision probabilities of vehicles in the network vary with respect to different models and designs.Comment: 5 page
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