ļ»æ Tomas Šliupas, Žilvinas Bazaras - Forecasting the risk of traffic accidents by using the artificial neural networks (Vol VIII, No 4)

Vilnius Gediminas Technical UniversityRiga Technical UniversityTallinn University of TechnologyBaltic Road Association

 

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2015 Impact Factor: 0.519 ©2015 Thomson Reuters, 2015 Journal Citation Report®

ISSN 1822-427X print
ISSN 1822-4288 online
 

 

 
 

"The Baltic Journal of Road and Bridge Engineering"
Vilnius: Technika, 2013, Vol VIII, No 4, p. 289-293


Tomas Šliupas, Žilvinas Bazaras

Forecasting the risk of traffic accidents by using the artificial neural networks

DOI: 10.3846/bjrbe.2013.37
 
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.
 
Keywords: traffic accidents, traffic accident forecasting, traffic accidents in Lithuania, reasons of traffic accidents, Artificial Neural Networks (ANN), Neural Networks (NN).

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