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Vehicular ad-hoc network simulations of overtaking maneuvers on two-lane rural highways

机译:两车道农村公路超车机动车辆自组织网络模拟

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摘要

The objective of this paper is to evaluate the effectiveness of a dedicated short-range communication (DSRC)-based wireless vehicle-to-vehicle (V2V) communication system, called the overtaking assistant, devised for improving safety during overtaking (also referred to as passing) maneuvers on two-lane rural highways. Specifically, the paper examines the influence of vehicular kinematics (vehicle speeds, accelerations and distances), driver behavior (drivers' perception/reaction time and overtaking rate), and DSRC characteristics (power settings, communication range, packet errors, sensor errors, and estimation inaccuracy) on the effectiveness of DSRC systems in predicting unsafe overtaking maneuvers. To this end, the paper utilizes a microscopic traffic simulator called VEhicles In Network Simulation (VEINS) that supports the simulation of wireless communication protocols in Vehicular Ad-hoc NEtworks (VANETs). 18,000 overtaking maneuvers - with roughly 10,000 collision maneuvers - were simulated to consider heterogeneity in vehicular kinematics, driver behavior, and DSRC performance. The overtaking assistant predicts whether a collision will occur and warns the driver before the maneuver begins. A descriptive analysis followed by a multivariate analysis (using binary discrete outcome models) of the simulated data reveals that the majority of collisions that could not be detected were due to the vehicles being out of communication range for the communication power settings used in the simulation. Packet errors, or failed communications, at a rate of up to 50% did not have a significant influence on the ability to detect collisions. These results suggest that the most important step in paving the way toward advanced driver assistance systems for rural highway overtaking maneuvers is to broaden the communication range of DSRC devices. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文的目的是评估基于专用短程通信(DSRC)的无线车对车(V2V)通信系统的有效性,该系统被称为超车助手,旨在提高超车时的安全性(也称为超车)在两车道的乡村公路上进行演习。具体而言,本文研究了车辆运动学(车辆速度,加速度和距离),驾驶员行为(驾驶员的感知/反应时间和超车率)以及DSRC特性(功率设置,通信范围,数据包错误,传感器错误和DSRC系统在预测不安全超车操作方面的有效性)。为此,本文利用了一种称为“网络中的车辆仿真”(VEINS)的微观交通仿真器,该仿真器支持对车辆专用NEtworks(VANET)中的无线通信协议进行仿真。模拟了18,000次超车操作-大约10,000次碰撞操作-以考虑车辆运动学,驾驶员行为和DSRC性能的异质性。超车助手会预测是否会发生碰撞,并在操纵开始之前警告驾驶员。对模拟数据进行描述性分析然后进行多元分析(使用二进制离散结果模型)表明,无法检测到的大多数碰撞是由于车辆超出了模拟所用通信功率设置的通信范围所致。数据包错误或通信失败率高达50%,对检测冲突的能力没有重大影响。这些结果表明,为农村公路超车演习开发高级驾驶员辅助系统铺平道路的最重要步骤是扩大DSRC设备的通信范围。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Transportation research》 |2016年第11期|60-76|共17页
  • 作者单位

    Univ Texas Austin, Dept Elect & Comp Engn, 1616 Guadalupe St Stop C0803, Austin, TX 78701 USA;

    Cambridge Systemat Inc, 555 12th St,Suite 1600, Oakland, CA 94607 USA|Univ Texas Austin, Dept Civil Architectural & Environm Engn, 301 E Dean Keeton St Stop C1761, Austin, TX 78712 USA;

    Pohang Univ Sci & Technol POSTECH, Dept Elect Engn, 77 Cheongam Ro, Pohang 37673, Gyeongbuk, South Korea;

    Univ Texas Austin, Dept Civil Architectural & Environm Engn, 301 E Dean Keeton St Stop C1761, Austin, TX 78712 USA;

    Univ S Florida, Dept Civil & Environm Engn, 4202 E Fowler Ave,ENC 2503, Tampa, FL 33620 USA;

    Univ Texas Austin, Dept Civil Architectural & Environm Engn, 301 E Dean Keeton St Stop C1761, Austin, TX 78712 USA|King Abdulaziz Univ, Jeddah 21589, Saudi Arabia;

    Univ Texas Austin, Dept Elect & Comp Engn, 1616 Guadalupe St Stop C0803, Austin, TX 78701 USA;

    Univ Texas Austin, Dept Elect & Comp Engn, 1616 Guadalupe St Stop C0803, Austin, TX 78701 USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Two-lane rural highways; Overtaking maneuvers; VANETs; Connected vehicles; DSRC driver assistance systems;

    机译:两车道农村公路;超车操作;VANET;联网汽车;DSRC驾驶员辅助系统;

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