DocumentCode :
495262
Title :
Traffic Safety Evaluations Based on Grey Systems Theory and Neural Network
Author :
Xu, Xiangzheng ; Chen, Baichao ; Gan, Fangcheng
Author_Institution :
Dept. of Electr. Eng., Wuhan Univ., Wuhan, China
Volume :
5
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
603
Lastpage :
607
Abstract :
Highroad traffic is indispensability, not only in daily living of person, but also in the state economic development. However, frequency of highroad traffic safety or traffic accidents is more. What is more, standard of living and state economic development are restricted more and more by traffic safety or traffic accidents. With the rapid development of state economy and highroad traffic, the number of vehicle rise rapidly and the problem of highroad traffic safety is paid attention to concern by all people in all level. This paper analyzed scientifically on recent situation of highroad traffic safety. In the foundation, indexes system of safety evaluation in traffic is confirmed. In this paper, the method of based on grey systems theory and neural network is recommend to evaluate highroad traffic safety. The supported method is of more advantage than other method through instance.
Keywords :
grey systems; neural nets; road accidents; road safety; road traffic; road vehicles; grey system theory; highroad traffic safety evaluation; index system; neural network; road vehicle; state economic development; traffic accident; Appraisal; Computer science; Electrical safety; Frequency; Fuzzy sets; Neural networks; Road accidents; Standards development; Telecommunication traffic; Vehicle safety; evaluation; grey systems theory; neural network; traffic accident; traffic safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.888
Filename :
5170606
Link To Document :
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