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Data mining combined to the multicriteria decision analysis for the improvement of road safety: case of France

机译:数据挖掘与多准则决策分析相结合,以改善道路安全:法国的案例

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Abstract IntroductionThe problem studied in this paper is the road insecurity, which is manifested by the big number of injuries and deaths recorded annually around the world. These victims of road accidents worry the whole community, hence the duty and the need to find solutions for reducing the number of victims and material damage. The overall purpose of this case study is to treat the problem of corporeal accidents known in France.Case descriptionThe case study presented in this paper is intended to help decision-makers to find and understand the all significant relationships and correlations that exist between the conditions that led to these corporeal accidents. In fact, the two French ministries of interior and transport have jointly created a unique database on corporeal accidents, called BAAC “Accident Analysis Bulletin Corporal”, with the aim of allowing different exploitations of this database by different concerned administrations and research organizations. Our intervention consists to adopt a hybrid approach based on data mining techniques combined to the multicriteria decision methods. This approach allows to extract the most relevant association rules. The results thus obtained can be easily exploited by the decision-makers to choose the appropriate policies in the perspective of improving road safety.Discussion and evaluationThe proposed approach ranks all association rules in order of importance for several quality measures of association rules. The alternatives at the top of the ranking are the results to retaining for the analysis. The approach is applied to the BAAC database of 2016, which led to the selection of three association rules. These association rules reveal that there are narrow correlations between the following elements: Driver with Pedestrian, Normal Surface of Road with Normal Atmospheric Condition and the Pavement with Pedestrian. These correlations can be justified by excess speed and carelessness of the drivers.ConclusionThe improvement of the road safety needs mainly to work more intensively on the behavioral side of the road users. For future work, it is planned to apply the proposed approach to the French traffic accident database, containing all the data on road accidents collected over several years. In addition, other measures will be used in the ranking of the association rules.
机译:摘要引言本文研究的问题是道路不安全,这表现为全世界每年记录的伤亡人数众多。这些交通事故的受害者令整个社区感到担忧,因此有责任和需要找到解决方案以减少受害者的人数和物质损失。本案例研究的总体目的是治疗法国已知的重大事故问题。案例描述本文介绍的案例研究旨在帮助决策者发现和理解条件之间存在的所有重要关系和相关性。导致了这些重大事故。实际上,法国的两个内政和交通运输部共同创建了一个有关重大事故的独特数据库,称为BAAC“事故分析公告下士”,目的是允许不同的相关主管部门和研究组织对该数据库进行不同的利用。我们的干预措施是采用一种基于数据挖掘技术的混合方法,并结合了多准则决策方法。这种方法允许提取最相关的关联规则。决策者可以很容易地利用由此获得的结果从改善道路安全的角度选择适当的策略。讨论和评估所提出的方法对所有关联规则进行排序,这对关联规则的几种质量度量的重要性。排名最高的替代方案是保留用于分析的结果。该方法应用于2016年的BAAC数据库,从而选择了三个关联规则。这些关联规则表明,以下元素之间存在狭窄的相关性:带行人的驾驶员,具有正常大气状况的正常路面和具有行人的人行道。这些相关性可以通过驾驶员的超速和粗心大意来证明。结论道路安全的改善主要需要在道路使用者的行为方面更加集中地开展工作。为了将来的工作,计划将提议的方法应用于法国交通事故数据库,其中包含几年来收集的所有关于道路事故的数据。另外,在关联规则的排名中将使用其他度量。

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