伊斯坦布尔道路交通事故发生现状分析及事故风险的机器学习判定

H. Bulbul, T. Kaya, Yusuf Tulgar
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引用次数: 16

摘要

由于车辆数量的不断增加,交通在设计和管理方面都变成了一个困难的结构。这一现状发现了道路交通事故问题,影响了公共卫生和国家经济,并对问题的解决方法进行了研究。由于技术的进步和低成本的数据存储,大规模校准数据聚集增加了。从这一庞大的校准数据中获取信息的需求成为数据挖掘的基石。本研究旨在通过数据挖掘为道路事故估计分配最兼容的机器学习分类技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis for Status of the Road Accident Occurance and Determination of the Risk of Accident by Machine Learning in Istanbul
The traffic has been transformed into the difficult structure in points of designing and managing by the reason of increasing number of vehicle. This situation has discovered road accidents problem, influenced public health and country economy and done the studies on solution of the problem. Large calibrated data agglomerations have increased by the reasons of the technological improvements and data storage with low cost. Arising the need of accession to information from this large calibrated data obtained the corner stone of the data mining. In this study, assignment of the most compatible machine learning classification techniques for road accidents estimation by data mining has been intended.
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