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Increase the Safety of Road Traffic Accidents by Applying Clustering

机译：应用聚类提高道路交通事故的安全性

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摘要

In terms of continual increase of number of traffic accidents and alarming trend of increasing number of traffic accidents with catastrophic consequences for human life and health, it is necessary to actively research and develop methods to combat these trends. One of the measures is the implementation of advanced information systems in existing traffic environment. Accidents clusters, as databases of traffic accidents, introduce a new dimension in traffic systems in the form of experience, providing information on current accidents and the ones that have previously occurred in a given period. This paper proposes a new approach to predictive management of traffic processes, based on the collection of data in real time and is based on accidents clusters. The modern traffic information services collects road traffic status data from a wide variety of traffic sensing systems using modern ICT technologies, creating the most accurate road traffic situation awareness achieved so far. Road traffic situation awareness enhanced by accident clusters' data can be visualized and distributed in various ways (including the forms of dynamic heat maps) and on various information platforms, suiting the requirements of the end-users. Accent is placed on their significant features that are based on additional knowledge about existing traffic processes and distribution of important traffic information in order to prevent and reduce traffic accidents.
机译：从交通事故数量的持续增加和对人类生命和健康造成灾难性后果的交通事故数量的惊人趋势来看，有必要积极研究和开发应对这些趋势的方法。措施之一是在现有交通环境中实施高级信息系统。事故群作为交通事故的数据库，以经验的形式引入了交通系统的新维度，提供了有关当前事故以及在给定时期内以前发生的事故的信息。本文基于交通事故的实时收集和事故群，提出了一种交通过程预测管理的新方法。现代交通信息服务使用现代ICT技术从各种各样的交通传感系统中收集道路交通状况数据，从而创建迄今为止最准确的道路交通状况感知。可以通过各种方式（包括动态热图的形式）以及在各种信息平台上可视化和分布因事故群数据而增强的道路交通状况意识，从而满足最终用户的需求。根据对现有交通流程和重要交通信息的分配的附加知识，将重音放在其重要功能上，以防止和减少交通事故。

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