Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/18393
Title: Extracting Traffic Safety Knowledge from Historical Accident Data
Authors: Gregoriades, Andreas 
Chrystodoulides, Andreas 
Keywords: Self-Organizing-Maps;Traffic Accidents Heat-maps;Accident Warnings
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: 15-Jan-2018
Source: 14th International Conference on Location Based Services (LBS 2018), Zurich, Switzerland, January 15-17, 2018
Conference: International Conference on Location Based Services 
Abstract: This paper presents a method and a tool for analyzing historical traffic accident records using data mining techniques for the extraction of valuable knowledge for traffic safety management. The knowledge is dis-tilled using spatio-temporal analysis of historical accidents records. Raw accident data, obtained from Police records, underwent pre-processing and subsequently integrated with secondary traffic-flow data from a mesoscopic simulation. Clustering analysis was performed with self-organizing maps (SOM) to identify accident black spots on the road network and visualizethis on a map. Distilled knowledge is used to develop a prototype mobile application to warn drivers of accident risk in real time
URI: https://ktisis.cut.ac.cy/handle/10488/18393
DOI: 10.3929/ethz-b-000225600
Collaboration : Cyprus University of Technology
European University Cyprus
Rights: ETH Zurich
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers - poster -presentation

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