中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (11): 47-54.doi: 10.16265/j.cnki.issn1003-3033.2022.11.0460

• 安全工程技术 • 上一篇    下一篇

面向主动诱导的自解释道路环境评价体系及优化应用

杜志刚1(), 陈逸飞1, 焦方通1,2,**(), 郑号染1, 韩磊1   

  1. 1 武汉理工大学 交通与物流工程学院,湖北 武汉 430063
    2 山东理工大学 交通与车辆工程学院,山东 淄博 255000
  • 收稿日期:2022-05-05 修回日期:2022-09-13 出版日期:2022-11-28 发布日期:2023-05-28
  • 通讯作者: 焦方通
  • 作者简介:

    杜志刚 (1977—),男,湖北武汉人,博士,教授,博士生导师,主要从事道路交通安全和交通规划方面的研究。E-mail:

  • 基金资助:
    国家自然科学基金资助(52072291)

Evaluation system and optimization application of self-explaining road environment oriented positive guidance

DU Zhigang1(), CHEN Yifei1, JIAO Fangtong1,2,**(), ZHENG Haoran1, HAN Lei1   

  1. 1 School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan Hubei 430070, China
    2 School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo Shandong 255000, China
  • Received:2022-05-05 Revised:2022-09-13 Online:2022-11-28 Published:2023-05-28
  • Contact: JIAO Fangtong

摘要:

为解决当前交通工程设施设置混乱,对交通安全不利的问题,基于自解释道路的理念,提出自解释视线诱导系统的设计理念及特性。分析典型道路环境的视线诱导系统及主要作用,对比其线形、轮廓诱导性能,并将此类设施按自解释程度排序;构建基于路权(空间路权、时间路权、优先路权)、人因(视距、视区、视错觉)、驾驶任务(车速控制、车距控制、车道保持)的评价体系,并应用于4种典型不良道路环境的交通安全评价及优化设计中。结果表明:在自解释诱导系统中,连续设置的视线诱导设施可以更好地描述道路信息;根据道路环境,结合各类视线诱导设施的特性将其合理组合,可以达到安全有效的线形诱导与轮廓诱导效果;面向主动诱导的自解释道路环境有利于明确路权、优化视距视区、降低驾驶人的驾驶信息负荷和工作负荷。

关键词: 主动诱导, 自解释, 道路环境, 评价体系, 视线诱导设施, 线形诱导, 轮廓诱导

Abstract:

In order to solve the problem that the current traffic engineering facilities are chaotic and have negative impacts on traffic safety, based on the concept of self-explaining roads, the design concept and characteristics of the self-explaining visual guiding system were proposed. The visual guiding system and its functions in typical road environment were analyzed, the performance of alignment guidance and contour guidance of various types of facilities were compared, and these facilities were ranked according to the degree of self-explaining. The evaluation system based on the rights-of-way (spatial right-of-way, temporal right-of-way, priority right-of-way), human factors (sight distance, sight zone, visual illusion), and driving tasks (speed control, vehicle distance control, lane keeping) was constructed, and it was applied to the traffic safety evaluation and optimization design of 4 typical unfriendly road environments. The results show that, in the self-explaining guiding system, the continuously set guidance facilities can better describe road information. According to the road environment, combined with the characteristics of various types of visual guiding facilities, the reasonable combination can achieve safe and effective alignment guidance and contour guidance. The self-explaining road environment for active guidance is conductive to clarifying the road rights, optimizing the visual area, and reducing the driver's driving information load and working load.

Key words: active guidance, self-explaining, road environment, evaluation system, visual guiding facilities, alignment guidance, contour guidance