事故多维分析及事故预防系统

为了预防交通事故频发地段的事故发生,分析事故成因是首要任务。分析事故成因可以为预防交通事故发生制定相应的对策提供依据。然而,交通事故的发生往往是由多种因素共同导致的,并且具有一些不确定因素。本文主要介绍了一个针对交通事故的分析与安全预防系统,该系统通过利用贝叶斯网络模型对出现在各地区交通事故的基础信息、车辆、道路、驾驶人等方面数据进行多维度的统计分析,揭示了交通事故发生的规律及原因。另外,为了有效地预防交通事故的发生,本文在预测未来事故的发生方面做出了分析。

In order to prevent accidents occurring frequently in traffic accidents, it is a primary task to analyze the causes of accidents. Analyzing the causes of accidents can provide a basis for formulating corresponding countermeasures to prevent traffic accidents. However, the occurrence of traffic accidents is often caused by a variety of factors, and there are some uncertainties. This paper mainly introduces an analysis and safety prevention system for traffic accidents. The system uses Bayesian network model to analyze the data of basic information, vehicles, roads, drivers and other aspects of traffic accidents in various regions, and reveals the rules and causes of traffic accidents. In addition, in order to effectively prevent traffic accidents, this paper makes an analysis of the prediction of future accidents.