Title :
Trace analysis and identification on un-motor vehicle driving state in traffic accident
Author :
Zhang Han-xin ; Xu Hong-guo ; Tan Li-dong
Author_Institution :
Coll. of Traffic, Jilin Univ., Changchun, China
Abstract :
The quickly developed bicycle in the un-motor vehicle is taken as example. From the three aspects of the strike vehicle, the no-motor vehicle and the cyclist which micro materials interchanged and the superficial attachment extracted, it provided the basis and the method to recognize the suspicion vehicles. According to the consults of massive correlation data, the accident scene record and participated many illustrative cases, the trace examination and appraisal method were classified and compiled. Mainly from trace aspects of vehicles, this question have been analyzed and expounded. So the reconstruction of accident scene can be done. It provides the method and the mentality to determine the driving state of bike in the traffic accident, enhances the accuracy and the fairness, which make the traffic accident responsibility recognized.
Keywords :
feature extraction; image recognition; road vehicles; traffic engineering computing; bicycle; strike vehicle; superficial attachment extraction; suspicion vehicle recognition; trace analysis; trace appraisal method; trace examination method; trace identification; traffic accident; un-motor vehicle driving state; Appraisal; Bicycles; Data mining; Educational institutions; Humans; Layout; Paints; Road accidents; Road vehicles; Vehicle driving; driving state; trace; traffic accident; un-motorizing vehicle;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5487015