基于小型车辆自然行驶状态的山区道路风险路段研究
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陈而越(1993—),男,硕士研究生,研究方向为道路交通安全工程。

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U491

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


Research on Risky Road Section of Mountain Road Based on Natural Driving Status of Small Vehicle
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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 4 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 0~2.273 m 和 32.838~39.268 m,弯道 2 的风险路段为 43.375~46.039 m,弯道 3 的风险路段为 21.001~21.507 m, 弯道 4 的风险路段为 18.521~24.283 m。 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 speed of small vehicles under natural driving conditions and risky road sections of mountainous roads, the four one-way curves of Fuzhou Forest Park passing through the Tunxi-Guling scenic section are taken as the research object. The UAV is used to capture the video data of the whole natural driving process of small vehicles from entering to leaving the curve, 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 speed. The results show that the risk section of Curve 1 is 0~2.273 m and 32.838~ 39.268 m, the risk section of Curve 2 is 43.375~46.039 m, the risk section of Curve 3 is 21.001~21.507 m, and the risk section of Curve 4 is 18.521~24.283 m. 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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陈而越,陈金山,郭建钢,李林,林慧.基于小型车辆自然行驶状态的山区道路风险路段研究[J].华东交通大学学报,2020,37(2):22-29.

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  • 在线发布日期: 2021-05-11
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