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