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高速公路车辆典型交通违法行为危险度分级预警方法

刘志勇 李瑞敏 刘英奇

交通信息与安全2017,Vol.35Issue(4):36-43,8.
交通信息与安全2017,Vol.35Issue(4):36-43,8.DOI:10.3963/j.issn.1674-4861.2017.04.005

高速公路车辆典型交通违法行为危险度分级预警方法

Graded Warning Methods of Dangerous Degree of Typical Traffic Violations on Highways

刘志勇 1李瑞敏 1刘英奇1

作者信息

  • 1. 清华大学交通研究所 北京 100084
  • 折叠

摘要

Abstract

Safety and efficiency of highways are impacted by frequent occurrences of dangerous driving behaviors and traffic violations.Based on related data of traffic safety on highways, a graded warning method is developed to evaluate dangerous degree of traffic violations.First, the relationships between traffic accidents and influence factors, including inclement weather, geometric alignments, and types of traffic violation behaviors, are investigated quantitatively.Second, considering weather conditions, traffic conditions, road geometric alignments and traffic violations, a method combining analytic hierarchy process (AHP) with fuzzy comprehensive evaluation is proposed to develop a graded warning model of traffic violations.A case study is further used to validate the proposed method.Results show that the model is effective and can provide supports for initiative traffic warning and management on highways.

关键词

交通安全/高速公路/交通违法行为/分类分级/预警模型

Key words

traffic safety/highway/traffic violation/classification and assessment/early warning

分类

交通工程

引用本文复制引用

刘志勇,李瑞敏,刘英奇..高速公路车辆典型交通违法行为危险度分级预警方法[J].交通信息与安全,2017,35(4):36-43,8.

基金项目

国家科技支撑计划课题(2014BAG01B03)资助 (2014BAG01B03)

交通信息与安全

OA北大核心CSCDCSTPCD

1674-4861

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