• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >System Level Impacts of V2X Enabled Vehicle Control Strategies.
【24h】

System Level Impacts of V2X Enabled Vehicle Control Strategies.

机译：支持V2X的车辆控制策略对系统级别的影响。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

With an increasing number of vehicles on road the quantity of CO 2 emissions and the amount of fuel wasted because of traffic congestion have been rising. Use of alternate means of transport that generate fewer emissions does not resolve the problem of congestions and vehicle wait time at traffic signal whereas further expansion of existing network of roads is not only constrained by finite space, but any network can get saturated as the number of vehicles increase. V2X technology allows vehicles and traffic infrastructure to communicate with each other, and could facilitate better use of existing resources by providing vehicles information about their surroundings and traffic signals. The information regarding the phase of traffic signal, vehicles' position and vehicles' speed can be used by drivers and autonomous vehicle control algorithms to make informed decisions as they approach traffic signals. This research proposes and analyzes system level impacts of implementing a coordination heuristic over single-vehicle optimization to realize the true potential of V2X technology. The results of this research can help policymakers choose the most suitable control strategy depending on the traffic conditions and the penetration rate of V2X technology. The analysis indicates that at 900 vehicles per hour for either of the two driving strategies: coordination heuristic or single-vehicle optimization, to be more preferred over baseline driver behavior, at least 50% of the vehicles should be V2X capable. Once a threshold penetration rate of V2X vehicles is achieved, vehicles following coordination heuristic generate nearly 10% fewer CO 2 emissions than vehicles following baseline driver behavior, a 30% improvement over the reduction in CO2 emissions obtained using single-vehicle optimization. The vehicles following the coordination heuristic also have less travel time than vehicles following single-vehicle optimization, and less wait times than vehicles following baseline driver behavior.
机译：随着道路上车辆的增加，由于交通拥堵而导致的CO 2排放量和燃料浪费量一直在增加。使用产生更少排放物的替代运输方式并不能解决交通信号灯的拥堵和车辆等待时间的问题，而现有道路网络的进一步扩展不仅受到有限空间的限制，而且随着道路数量的增加，任何网络都会变得饱和车辆增加。 V2X技术允许车辆和交通基础设施彼此通信，并可以通过提供有关车辆周围环境和交通信号的信息来促进更好地利用现有资源。驾驶员和自主车辆控制算法可使用有关交通信号灯相位，车辆位置和速度的信息，在他们接近交通信号灯时做出明智的决定。这项研究提出并分析了在单车优化上实施协调启发法以实现V2X技术真正潜力的系统级影响。这项研究的结果可以帮助决策者根据交通状况和V2X技术的渗透率选择最合适的控制策略。分析表明，对于两种驾驶策略中的任何一种，每小时900辆车：协调启发式或单车优化（要比基线驾驶员行为更可取），至少50％的车辆应具有V2X能力。一旦达到V2X车辆的阈值渗透率，遵循协调启发法的车辆产生的CO 2排放量将比遵循基线驾驶员行为的车辆减少近10％，比使用单车优化获得的二氧化碳排放量减少30％。遵循协调启发法的车辆比单车辆优化后的车辆具有更少的行驶时间，并且比基准驾驶员行为后的车辆具有更少的等待时间。

著录项

  • 作者

    Rungta, Vaibhav.;

  • 作者单位

    Rochester Institute of Technology.;

  • 授予单位 Rochester Institute of Technology.;
  • 学科 Industrial engineering.;Transportation.;Operations research.
  • 学位 M.S.
  • 年度 2018
  • 页码 68 p.
  • 总页数 68
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 公共建筑;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号