Assessment of Urban Road Traffic Safety Based on Bayes Discriminant Analysis Method

Abstract:

Bayes discriminant analysis theory (BDAT) is used to create an evaluation method to determine the condition of urban road traffic safety. The resulting Bayes discriminant model (BDM) is designed to strictly adhere to BDAT. Three indexes including death ratio per ten thousand vehicles, death ratio per hundred thousand bicycles and death ratio per hundred thousand citizens are selected as the factors in the analysis of urban road traffic safety. The grade of condition of urban road traffic safety is divided into three grades that are regarded as three normal populations in Bayes discriminant analysis. Bayes discriminant functions rigorously constructed through training a set of samples are employed to compute the Bayes function values of the evaluating samples, and the maximal function value is used to judge which population the evaluating sample belongs to. The optimality of the proposed model is verified by back-substitution method. The study shows that the prediction accuracy of the proposed model is 100% and could be used in practice.

• Periodical: Advanced Materials Research (Volumes 639-640)
• Pages: 544-547
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.639-640.544
• Online since: January 2013
• Authors: Chang Ping Wen, Qing Qing Tian
• Keywords: Assessment, Bayes Discriminant Analysis, Classification, Identification, Urban Road Traffic Safety

References

[1] PENG Jun-long, ZHANG Qi-sen, ZHANG Xue-min. Highway traffic safety assessment by using a comprehensive method. Journal of Safety and Environment, 2005, 5(5): 12-14.(in Chinese)

[2] PAN Yan-rong, ZHAI Chang-xu, ZHU Shun-ying. An evaluation of the road traffic safety based on the grey cluster and neural network. Journal of Chongqing Jiaotong University, 2005, 24(2): 101-104.(in Chinese)

[3] DING Yi. Applying the method of fuzzy synthetically judgment to appraising the traffic safety of the expressway. Journal of Fujian College of Forestry, 2001, 21(2): 128-131. (in Chinese)

[4] NIU Hui-yon. Study on safety evaluation of urban road traffic based on gray theory. China Safety Science Journal, 2005, 15(9): 92-95. (in Chinese)

[5] LUO Jiang-tao, LIU Xiao-ming, REN Fu-tian. Traffic safety analysis and evaluation of Beijing area. China journal of highway and transport, 1995, 8(s1): 137-142. (in Chinese)

[6] MEI Chang-lin, ZHOU Jia-liang. Practical Statistical Method (China Science Press, China 2002), pp.85-110. (in Chinese)

[7] ZHANG Yao-ting, FANG Kai-tai. Introduction to Multivariate Statistical Analysis (China Science Press, China 2003), pp.155-184. (in Chinese)