FORECASTING THE RISK OF TRAFFIC ACCIDENTS BY USING THE ARTIFICIAL NEURAL NETWORKS

被引：4

作者：

Sliupas, Tomas ^{[1
]}

Bazaras, Zilvinas ^{[2
]}

机构：

[1] PE Rd & Transport Res Inst, LT-44009 Kaunas, Lithuania

[2] Kaunas Univ Technol, Dept Transport Engn, LT-44312 Kaunas, Lithuania

来源：

BALTIC JOURNAL OF ROAD AND BRIDGE ENGINEERING | 2013年 / 8卷 / 04期

关键词：

traffic accidents; traffic accident forecasting; traffic accidents in Lithuania; reasons of traffic accidents; Artificial Neural Networks (ANN); Neural Networks (NN);

D O I：

10.3846/bjrbe.2013.37

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

The paper is focused on the impact analysis of 12 different factors influencing the traffic accident risk on the main and national roads of Lithuania. These factors describe technical road information and road environment. The analysed roads are divided into 341 sections. Relevant information on each road section is provided, including traffic volume, number of accidents, and factor descriptions. Afterwards the artificial neural networks aimed at forecasting the traffic accident risk are built. Calculations reveal the best Artificial Neural Network configuration which generates the best forecasting results.

引用

页码：289 / 293

页数：5

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