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基于驾驶员的车辆自组网适应性设计用于主动安全系统

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

Ali Rakhshan, Hossein Pishro-Nik, Mohammad Nekoui

AI总结:

本文研究了在多车道高速公路场景中个性化车辆通信以提高碰撞预警系统的需求。通过结合交通和通信研究,旨在减少高速公路交通事故。本文首次提出了如何根据驾驶员特征和交通信息定制车辆通信的方法,提出开发VANET协议,选择性识别碰撞相关信息并根据每位驾驶员的安全评分定制通信。

摘要:

本文研究了在多车道高速公路场景中个性化车辆通信以提高碰撞预警系统的需求。通过结合交通和通信研究,旨在减少高速公路交通事故。到目前为止,这是首次展示如何根据驾驶员特征和交通信息定制车辆通信的论文。我们提出开发VANET协议,选择性识别碰撞相关信息并根据每位驾驶员的安全评分定制该信息的通信。在本文中,首先通过考虑多用户干扰、路径损耗和衰减等因素推导出分组成功概率。然后通过蒙特卡洛模拟,展示了满足安全应用延迟要求的合适信道接入概率如何带来显著的性能提升。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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