首页> 外文会议>International conference on traffic and transportation studies >Application of Fuzzy Quantitative Theory for Crash Rate Prediction at Roadway Sections
【24h】

Application of Fuzzy Quantitative Theory for Crash Rate Prediction at Roadway Sections

机译:模糊定量理论在巷道事故率预测中的应用

获取原文

摘要

A traffic crash prediction model was developed to accurately estimate roadway section safety.Crash rate of a roadway section was selected as the predicting measure.Moreover,the following seven factors were selected as major influencing factors:number of years of driving,number of lanes,radius of horizontal curves,longitudinal grade,road surface status,type of intersection,and width of road surface.The traffic crash prediction model was established based on fuzzy quantitative theory.To validate the model,crash data were collected at an actual site between 490.900 km to 550.789 km on a national highway.The result from the model was in agreement with the actual field data.The conclusion is that the model can be applied to other roadway locations.
机译:建立了交通事故预测模型,以准确地估算道路区段的安全性。选择道路区段的碰撞率作为预测措施。此外,选择以下七个因素作为主要影响因素:行车年数,车道数,水平曲线的半径,纵向坡度,路面状态,交叉点类型和路面宽度。基于模糊定量理论建立了交通事故预测模型。为验证模型,在490.900之间的实际地点收集了碰撞数据。国道550公里至550.789公里之间,该模型的结果与实际现场数据相吻合,结论是该模型可以应用于其他道路位置。

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