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Comparison of Accident Black Spot Identification Methods based on GPS Coordinates

机译:基于GPS坐标的事故黑点识别方法比较

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Seeking for potential road accident black spots (also known as hot spots) is one of the most important tasks of safety experts. There are no widely accepted definitions of black spots, but these are usually well-demarcated areas of the public road network, where the number or seriousness of accidents is higher than expected. Several methods exist in the literature for searching potential black spots, but most of them are based on the traditional road number+section number location identification system. Spreading of the GPS technology made it possible to use a more accurate and convenient way of two-dimensional coordinates to localize road accidents. This paper presents the capabilities of the most used black spot localization techniques (original sliding window, planar sliding window, DBSCAN) based on this new localization system. The evaluation contains both the qualitative and quantitative aspects; considering accuracy, processing speed, convenience, etc.
机译:寻求潜在的道路事故黑点(也称为热点)是安全专家最重要的任务之一。没有广泛接受的黑点定义,但这些通常是公共道路网络的划定区域,事故的数量或严重程度高于预期。文献中存在几种方法,用于搜索潜在的黑点,但大多数基于传统的道路编号+截面数识别系统。 GPS技术的传播使得可以使用更准确和方便的二维坐标方式来定位道路事故。本文介绍了基于该新本地化系统的最常用的黑点定位技术(原始滑动窗口,平面滑动窗口)的能力。评估包含定性和定量方面;考虑到准确性,加工速度,方便等。

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