中国安全科学学报 ›› 2023, Vol. 33 ›› Issue (9): 214-226.doi: 10.16265/j.cnki.issn1003-3033.2023.09.1864

• 公共安全 • 上一篇    下一篇

公路路侧事故风险评估与路侧安全设计研究综述

程瑞1(), 盘烨1, 代军吉1, 王涛1,**(), 解忠操2   

  1. 1 桂林电子科技大学,广西智慧交通重点实验室,广西 桂林 541004
    2 北京宸融科技有限公司,北京 100070
  • 收稿日期:2023-03-11 修回日期:2023-06-15 出版日期:2023-09-28
  • 通讯作者:
    **王 涛(1985—),男,江苏邳州人,博士,教授,主要从事交通信息控制、交通行为、交通安全等方面的研究。E-mail:
  • 作者简介:

    程 瑞 (1992—),男,山东菏泽人,博士,副教授,硕士生导师,主要从事道路交通安全、事故风险研判等方面的研究。E-mail:

  • 基金资助:
    国家自然科学基金资助(52262047); 广西自然科学基金资助(2022GXNSFBA035640); 广西自然科学基金资助(2023GXNSFAA026359); 广西科技基地和人才专项项目(桂科AD20159035(桂科AD20159035); 广西高校中青年教师科研基础能力提升项目(2022KY0193)

Research overview of roadside accident risk assessment and roadside safety design

CHENG Rui1(), PAN Ye1, DAI Junji1, WANG Tao1,**(), XIE Zhongcao2   

  1. 1 Guangxi Key Laboratory of ITS,Guilin University of Electronic Technology, Guilin Guangxi 541004, China
    2 Beijing Chenrong Technology Co.,Ltd., Beijing 100070, China
  • Received:2023-03-11 Revised:2023-06-15 Published:2023-09-28

摘要:

为全面了解路侧安全相关领域研究进展,针对性地制定防控方案,从文献占比、文献所属地、文献来源3方面分析路侧安全当前发展趋势;从路侧事故风险评估和路侧安全设计方面综述路侧安全研究现状、存在的问题及未来发展方向;从研究方法入手,评述用于路侧事故风险评估的不同预测手段和分析模型。研究结果表明:导致路侧事故高风险的前10种显著性致因因素从高到低依次为:驾驶人年龄≤25岁或≥65岁、饮酒、小半径弯道、超速、未使用安全带、大型车、较大交通量、紧邻道路边缘的物体、无照明/夜间、窄路肩。在路侧事故风险评价方面,未来研究应进行动静态多源数据融合,通过探究事故致因因素交互机制,提出路侧事故风险态势研判方法;在路侧安全设计方面,应从精准量化净区宽度、制定净区设置条件、合理匹配护栏等级和降低交通设施解体消能设计成本等方面入手,形成一套合理有效的路侧安全防护方法。另外,在当前智能网联发展背景下,通过构建人、车、路协同综合感知体系和路网运行监测与预警系统,提高车辆行车稳定性同样是未来的研究方向。

关键词: 路侧事故, 风险评估, 路侧安全设计, 安全防护, 显著性致因因素

Abstract:

In order to comprehensively understand the research progress of roadside safety and formulate prevention and control programs, the development directions of roadside safety were shown from three aspects: the proportion of publication, the source of publication and the country of publication. Then, the research status, existing issues and future development trends of roadside safety were analyzed from two aspects: the risk assessment of roadside accidents and the roadside safety design. Finally, the different evaluation models and prediction methods for the risk assessment of roadside accidents were summarized. The results show that the first ten significant cause factors that lead to high-risk roadside accidents are, in decreasing order of importance, driver age ≤ 25 or ≥ 65, alcohol, small radius curve, speeding, failure to use seat belts, heavy trucks, heavy traffic, objects adjacent to the lane, no lighting/night, and the narrow shoulder. In terms of roadside accident risk assessment, future research should integrate mobile and static multi-source data, put forward a method for assessing the risk situation of roadside accidents, and further explore the interaction mechanism of accident causation factors. In the aspect of roadside safety design, a set of reasonable and effective protection methods should be suggested from the aspects of accurately quantifying the width of the clear zone, formulating the setting conditions of clear zone, reasonably matching the grade of guardrail and reducing the design cost of energy dissipation of traffic facilities. In addition, under the current research focus on intelligent network connection, it is also the future research direction to improve the vehicle running stability by constructing a human-vehicle-road collaborative comprehensive perception system and a road network comprehensive operation monitoring and warning system.

Key words: roadside safety, accident risk, roadside design, safety protection, significant cause factors