Traffic safety prediction model for identifying spatial degrees of exposure to the risk of road accidents based on fuzzy logic approach

Autor:	Mohamed Hamadouche, Khéloufi Benabdeli, Thierry Saint-Gérand, Miloud Driss
Rok vydání:	2014
Předmět:	Geographic information system Spatial Visualization Traffic accident Process (engineering) business.industry Geography Planning and Development Accident risk Prediction system Fuzzy logic Transport engineering Geography Kilometer business Water Science and Technology
Zdroj:	Geocarto International. 30:243-257
ISSN:	1752-0762 1010-6049
Popis:	This article, we propose a traffic accident prediction system based on fuzzy logic which allows to identify ‘the degree of exposure to road accidents’ risk’ and to analyse the level of complexity of the factors involved. We focus our study on the possible influence of a series of local criteria observed and selected for each kilometre per segment of the road network studied. The study was conducted on a road network within the rural area of the Wilaya of Mascara in the north-western region of Algeria. A Geographic Information System was integrated into the analysis process to enable a spatial visualization of the degrees of exposure to road accidents’ risk, providing a cartographically measurable solution to establish and attenuate accident risk. Results show that the developed system can be effectively applied as an useful Road Safety tool capable of identifying risk factors related to the characteristics of the road.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1586cd686d637f7610127af1eee3aacb https://doi.org/10.1080/10106049.2014.883554 Zobrazit plný text záznamu