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Prediction of traffic accidents by using neural network

Růžička J., Bělinová Z., Korec V., Cikhardtová K., Tichý T.

Archives of Transport System Telematics

2019

Vol. 12, iss. 4

22--26

The prediction of traffic accidents in urban networks is one of the key future theme in the areas of traffic control and navigation. Early identification of the risk of a traffic accident can lead to an increase in the safety and smoothness of road transport. Neural networks belong to the expert methods for modeling of complex systems. The issue of their use in the transport sector is scientifically quite progressive. The article describes the design of prediction model based on available traffic data from town Uherské Hradiště. Traffic data was collected from many sources, e.g. junction detectors, meteorological stations or traffic accident portal. Appropriate parameters for the model were selected from the traffic data. The model was then tested on a 2-month data sample. The aim of the article is to confirm the suitability of using neural networks to predict traffic accidents.