基于小型车辆自然行驶状态的交通事故多发段的判别方法
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福建农林大学交通与土木工程学院

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U491

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国家自然科学(51608123);福建省自然科学(2017J01475,2017J01682)


Discrimination Method of Traffic Accident Frequent Section Based on Driving State of Small Vehicles
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    摘要:

    为了研究小型车辆自然行驶状态下的行驶轨迹及行驶速度与山区道路风险路段的关系,以福州市森林公园经宦溪至鼓岭景区路段的四个单向弯道作为研究对象;采用无人机拍摄以小型车为主的车辆从入弯到出弯的整个自然行驶过程的视频资料,并用Ae软件中追踪运动模块追踪车辆左前轮的轨迹及计算出车辆过弯速度;根据行驶轨迹及行驶速度得到各弯道风险路段的长度。结果显示:弯道1的风险路段为0~2.273m和32.838~39.268m,弯道2的风险路段为43.375~46.039m,弯道3的风险路段为21.001~21.507m,弯道4的风险路段为18.521~24.283m。本研究以车辆行驶轨迹及行驶速度两个真实行驶数据为切入点,为山区道路风险路段的识别提供一种基于小型车辆自然行驶状态的方法。

    Abstract:

    In order to study the relationship between the driving trajectory and driving speed of small vehicles under natural driving conditions and the risky road sections of mountainous roads, the four one-way curves of Fuzhou Forest Park through the Tunxi-Guling scenic section are the research objects; The UAV is used to capture the video data of the small-vehicle-based vehicle from the curve to the exiting natural driving process, and the tracking motion module of the Ae software is used to track the trajectory of the left front wheel of the vehicle and calculate the vehicle turning speed; The length of each curve risk section is obtained according to the driving trajectory and the traveling speed. The results show that the risk section of curve 1 is 0~2.273m and 32.838~39.268m, the risk section of curve 2 is 43.375~46.039m, the risk section of curve 3 is 21.001~21.507m, and the risk section of curve 4 is 18.521~24.283. In this study, the two actual driving data of vehicle trajectory and driving speed are used as the entry point, which provides a method based on the natural driving state of small vehicles for the identification of risky road sections in mountainous areas.

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  • 收稿日期:2019-08-19
  • 最后修改日期:2019-10-08
  • 录用日期:2019-11-04
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