• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>COTA International Conference of Transportation Professionals >A Road Traffic Crash Risk Assessment Method Using Vehicle Trajectory Data and Surrogate Safety Measures
【24h】

A Road Traffic Crash Risk Assessment Method Using Vehicle Trajectory Data and Surrogate Safety Measures

机译：使用车辆轨迹数据和代理安全措施的道路交通崩溃风险评估方法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The development of traffic sensing technology makes it possible to obtain high-precision microscopic traffic flow data; characteristic parameters based on microscopic traffic flow can be used for real-time crash risk assessment on roadways along with active safety control. The purpose of this paper is to study the relationship between surrogate safety measures (SSM) based on microscopic traffic parameters and road real-time crash risk. It is proposed to use the microwave radar detector to obtain real-time position and speed of the vehicle moving through the detection area. Vehicle trajectory data can be processed to extract the modified time-to-collision (MTTC), potential index for collision with urgent deceleration (PICUD), stopping headway distance (SHD), deceleration rate to avoid a crash (DRAC), and deceleration-based surrogate safety measure (DSSM). This can represent the three categories based on measuring attributes: temporal proximity, distance, and deceleration. Collectively, the time is divided into 30 s segments, and the traffic is divided into two states by the combination of TTC value, rapid deceleration rate and manual observation: no risk and risk. The Mann-Whitney U test is used to analyze the distribution difference of selected SSM under different traffic accident risks. Finally, the Fisher discriminant method is used to determine the road segment risk in real-time through the selected parameters. This study identified real-time microscopic traffic flow indicators that are significantly associated with road traffic crash risks and provides a basis for predictive models of road traffic crashes with proactive prevention and control technologies.
机译：交通传感技术的发展使得有可能获得高精度的微观交通流数据;基于微观交通流特性参数可与主动安全控制一起用于在道路的实时碰撞风险评估。本文的目的是研究基于微观交通参数和道路实时碰撞风险代理安全防护措施（SSM）之间的关系。它提出使用微波雷达检测器以获得车辆通过检测区域移动的实时位置和速度。车辆轨迹数据可以被处理，以提取经修改的时间 - 碰撞（MTTC），潜在的索引用于与紧急减速（PICUD）碰撞，停止车间距离（SHD），减速度，以避免碰撞（DRAC），和deceleration-基于代理的安全措施（DSSM）。这可以表示基于测量属性三类：时间接近度，距离和减速。共同地，时间被划分为30秒的段，并且业务由TTC值，快速减速率和人工观测的组合分为两种状态：无风险和风险。曼 - 惠特尼U检验来分析选择SSM的在不同的交通事故风险的分布差异。最后，Fisher判别方法被用来通过选择参数来确定实时路段的风险。这项研究确定实时微观交通流指标均显著与道路交通碰撞的风险相关联，并为道路交通的预测模型提供了基础崩溃，并积极预防和控制技术。

著录项

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