Forecasting the Risk of Traffic Accidents by Using the Artificial Neural Networks

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 analyzed 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.

Language

  • English

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Filing Info

  • Accession Number: 01523595
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 26 2014 8:16PM