Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.888
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.
traffic safety, evaluation, grey systems theory, neural network, traffic accident
X. Xu, F. Gan and B. Chen, "Traffic Safety Evaluations Based on Grey Systems Theory and Neural Network," 2009 WRI World Congress on Computer Science and Information Engineering, CSIE(CSIE), Los Angeles, CA, 2009, pp. 603-607.