道路交通事故预测:驾驶行为方法

Hajar Lazar, Zahi Jarir
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引用次数: 1

摘要

近十年来,全球交通事故数量逐年增加,引发了所谓的 "道路战争"。一些研究人员已经开发出了预测事故的模型,并对可能导致交通事故的因素进行了分析,但还无法提前缓解事故,因为人的因素在其中扮演着非常重要的角色。本文的目的在于利用两个关键点:介绍道路交通事故的文献综述,并提出一种事故预测架构,作为未来利用机器学习算法从驾驶员行为角度预防交通事故的工作。我们将特别研究马拉喀什市,该市是众所周知的旅游胜地,交通繁忙,人口流动频繁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Road traffic accident prediction: a driving behavior approach
Over the last decade, the number of accidents is increased each year in the world that lead to the so called “war of roads”. Several researchers have developed models to predict accidents and to analyze the factors that may contribute to cause the traffic crashes, however it has not yet been possible to alleviate the accident in advance, where the human factor plays a very significant role. The aim of this paper is to take advantage of two key-points: to present a literature overview of road traffic accident and to propose an accident prediction architecture as a future work to prevent the crashes based on driver behavior perspective using machine learning algorithm. We will study particularly the Marrakesh city who has known as a great touristic destination that have much traffic and displacement.
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