• 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 >Real-Time Crash Prediction Estimation of Freeway Safety: A Review
【24h】

Real-Time Crash Prediction Estimation of Freeway Safety: A Review

机译：高速公路安全性实时碰撞预测估计

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

摘要

Previous researches have made great efforts on predicting freeway crashes real-timely in advanced traffic management and information systems (ATMIS) environment. However, a comprehensive literature review of crash likelihood prediction model research is lacking. To outline a conceptual framework for developing crash likelihood prediction model using real-time traffic flow variables, this study reviewed the state-of-the-art researches on real-time crash prediction estimation in relation to freeway safety. A systematic literature search was conducted. Researches were summarized and comparatively analyzed from the following four aspects: data sources, the selection of normal and disruptive traffic, the determination of indicator, and the prediction model. It is concluded that traffic flow parameters have a considerable potential for increasing road safety by means of real-time crash risk prediction. The links between traffic flow and real-time crash risk were confirmed. In the end, some suggestions were proposed on development tendency of real-time crash risk prediction model research.
机译：先前的研究在实时预测高级交通管理和信息系统（ATMIS）环境中的高速公路碰撞方面做出了巨大的努力。然而，缺乏对碰撞可能性预测模型研究的全面文献综述。为了概述使用实时交通流量变量开发碰撞可能性预测模型的概念框架，本研究回顾了与高速公路安全相关的实时碰撞预测估计的最新研究。进行了系统的文献检索。从以下四个方面对研究进行了总结和比较分析：数据源，正常流量和破坏性流量的选择，指标的确定以及预测模型。结论是，交通流量参数具有通过实时碰撞风险预测来提高道路安全性的巨大潜力。流量与实时崩溃风险之间的联系已得到确认。最后对实时碰撞风险预测模型研究的发展趋势提出了一些建议。

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