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为综合考虑道路平面、纵断面和横断面对小客车运行速度的影响,选用驾驶人可视路表面积为运行速度的研究指标,采用集视频采集技术、GPS定位技术、高精度车速拾取技术于一体的多功能数据采集仪,记录驾驶人可视路表面积及车速等信息;对采集的单帧彩色视野图像运用线形变换法进行灰度化处理,通过编写改进的OTSU算法对灰度图像进行路表和背景二值化分割;最后基于像素行扫描算法提取驾驶人可视路表面积,运用SPSS软件进行相关性分析并建立数学预测模型。研究结果表明:驾驶人可视路表面积与车辆运行速度呈正相关关系,两者变化量之间相关系数为0.676;模型预测值与实际观测值两者相对误差的平均值为3.88%;采用驾驶人可视路表面积预测运行速度简便、有效,能有效突破目前运行速度预测方法的局限性。
In order to comprehensively consider the impact of road surface, longitudinal section and cross-section on the running speed of passenger cars, the visual indicator of the road surface area of the driver is selected as the research index of running speed. The video collection technology, GPS positioning technology and high-precision speed pick- Of the multi-function data acquisition instrument, recording the driver’s visual surface area and speed and other road information; the acquisition of single-frame color field of view using linear transform method for grayscale processing, by writing improved OTSU algorithm grayscale image roadmap And the background binarization segmentation. Finally, based on the pixel row scanning algorithm, the visual area of the road surface can be extracted, and the correlation analysis and SPSS software are used to establish the mathematical prediction model. The results show that there is a positive correlation between the visible road surface area and vehicle running speed, and the correlation coefficient between the two is 0.676; the average relative error between the predicted model and the actual observation value is 3.88% Visual road surface area prediction speed is simple and effective, which can effectively break the limitations of the current running speed prediction method.