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A New Method of Traffic Conflict Data Collection and Processing for Traffic Safety Evaluation

机译:交通安全评价中交通冲突数据采集与处理的新方法

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At present, the most common method of collecting traffic conflict data was the site observation method. Data processing methods were mainly manually observed by site or video. To overcome the shortcomings of traditional data collection and processing methods, video recognition was collected by UAV (Unmanned Aerial Vehicle) flying at high altitude and conflict were automatically detect by video recognition software in this paper. Compared with traditional data collection methods, UAV has a good high-altitude field of view, does not have shooting angle and occlusion problems, and has a large shooting range, which has obvious advantages. The video recognition program consists of the following parts: image reading and calibration, vehicle identification, vehicle tracking. Video recognition got continuous high-precision vehicle trajectory data, subsequent processing to obtain continuous vehicle conflict data. Finally, we can use these data to evaluate road traffic safety. The results show that this method can effectively evaluate road traffic safety.
机译:目前,最常见的收集交通冲突数据的方法是现场观察法。数据处理方法主要是通过站点或视频手动观察的。为了克服传统数据采集和处理方法的不足,本文采用无人机在高空飞行进行视频识别,并通过视频识别软件自动检测冲突。与传统的数据采集方法相比,无人机具有良好的高空视野,不存在射击角度和遮挡问题,射击范围大,具有明显的优势。视频识别程序包括以下部分:图像读取和校准,车辆识别,车辆跟踪。视频识别得到连续的高精度车辆轨迹数据,进行后续处理以获得连续的车辆冲突数据。最后,我们可以使用这些数据来评估道路交通安全。结果表明,该方法可以有效地评价道路交通安全。

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