Traffic Accident Prediction Based on Comprehensive Data Comparison

Vrtal, Pavel and Nováček, Jakub (2021) Traffic Accident Prediction Based on Comprehensive Data Comparison. Transport for Today's Society.

Full text not available from this repository.
Official URL: https://ttsconf.org/

Abstract

Abstract – The project aims to improve the road safety by
identification of potentially risky locations on roads that show
similarities to known accident locations. This contribution
presents an algorithm that is combining the commonly used
methods and the road characteristics identified through the road
network analysis and road passport. It is able to search for
potentially risky locations on the road network and alert the road
managers to the potentially risk prone sites.
Keywords – Traffic accident prediction, Road safety,
Comparison algorithm, Accident sites

Item Type: Article
Subjects: Scientific Fields (Frascati) > Engineering and Technology > Other engineering and technologies
Divisions: Faculty of Technical Sciences
Depositing User: Prof. d-r. Marija Malenkovska
Date Deposited: 13 Apr 2022 21:24
Last Modified: 13 Apr 2022 21:24
URI: https://eprints.uklo.edu.mk/id/eprint/6947

Actions (login required)

View Item View Item