中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (5): 99-104.doi: 10.16265/j.cnki.issn1003-3033.2017.05.018

• 安全工程技术科学 • 上一篇    下一篇

货车右转视线盲区形成机制及交叉口安全性研究

王清洲1,2 副教授, 徐令选1, 范鑫1, 郭凯1   

  1. 1 河北工业大学 土木与交通学院,天津 300401;
    2 河北省土木工程技术研究中心,天津 300401
  • 收稿日期:2016-11-14 修回日期:2017-02-10 出版日期:2017-05-20 发布日期:2020-10-30
  • 作者简介:王清洲 (1979—),男,河北孟村人,副教授,硕士生导师,主要从事城市交通运输规划、交通安全、无损检测技术研究。E-mail:wqz1718@126.com。

Study on formation mechanism of blind spot for truck turning right and safety of intersection

WANG Qingzhou1,2, XU Lingxuan1, FAN Xin1, GUO Kai1   

  1. 1 School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China;
    2 Civil Engineering Technology Research Center of Hebei Province, Tianjin 300401, China
  • Received:2016-11-14 Revised:2017-02-10 Online:2017-05-20 Published:2020-10-30

摘要: 为探究道路交叉口货车右转弯过程中货车司机的视线盲区形成机制,以及货车右转对交叉口安全的影响,运用Matlab软件建立货车右转弯模型。基于对载重货车内轮差的特性分析,以及模型车试验和现场大型货车转弯试验结果,修正转弯轨迹,较精准地模拟货车转弯过程。提出盲区面积计算方法和道路交叉口安全性评估指标。对右转分离式路口、缓转弯十字路口和急转弯十字路口进行基于货车右转盲区的安全性评估。结果表明:6轴载重货车的右转弯盲区面积达40.39 m2,与常见的普通十字路口相比,右转分离式路口有较高行车安全性。

关键词: 大型货车, 视线盲区, 轨迹仿真, 机制, 路口评估

Abstract: In order to explore the formation mechanism of truck drivers' blind area when the truck is turning right, and the influence of truck turning right on safety of the road intersection, a right-turn model was built by using the Matlab software. Based on analyzing the characteristics of truck's inner wheel difference, the results of test of model car and results of large trucks turning tests, and fixing trajectory turning, the turning process of truck was simulated accurately. A method was worked out for calculating the visual blind area. A index was putforward for road intersection safety evaluation. A truck right-turn blind spot area based evaluation of safety was made for right-turn separation, slow turn interaction and sharp turn interaction. The results show that the blind area is 40.39 m2 for six-axle truck turning right, and that right-turn separation crossing has higher safety.

Key words: heavy truck, visual blind spot, simulation track, mechanization, intersection evaluation

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