DocumentCode :
3340655
Title :
Identification of black spot on traffic accidents and its spatial association analysis based on geographic information system
Author :
Yan Chen ; Chun Liu ; Hangbin Wu ; Weiwei Sun
Author_Institution :
Dept. of Surveying & Geo-Inf., Tongji Univ., Shanghai, China
Volume :
1
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
143
Lastpage :
150
Abstract :
In general, the location of traffic accidents is described as an address with text, so they are difficult to display on the map. The paper discusses how to utilize the geocoding technology to make the traffic accidents with spatial information. Based on the spatial relationship between traffic accidents and road network elements, two-way association relationship is defined by spatial relationship computation. Then the paper presents the method which takes potential of reducing accidents as an index to extract the black spots. Finally, in the discussion, the association relationship between black spots and traffic attributes is analyzed to pick up the factors of inducing traffic accidents.
Keywords :
data mining; geographic information systems; road accidents; road traffic; traffic information systems; black spot; geocoding technology; geographic information system; road network elements; spatial association analysis; spatial information; spatial relationship computation; traffic accidents; traffic attributes; two-way association relationship; Accidents; Educational institutions; Geographic Information Systems; Loss measurement; Microscopy; Roads; Safety; Association analysis; Black spot; GIS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
ISSN :
2157-9555
Print_ISBN :
978-1-4244-9950-2
Type :
conf
DOI :
10.1109/ICNC.2011.6021904
Filename :
6021904
Link To Document :
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