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A study on Application of the Rate Quality Control Method of Over-dispersed Traffic Crash Data  

Sung, Nak-Moon (교통개발연구원 광역도시교통연구실)
Publication Information
Journal of Korean Society of Transportation / v.22, no.1, 2004 , pp. 63-72 More about this Journal
Abstract
In conducting traffic safety programs, it is very important to identify hazardous sites in appropriate manner. The rate qualify control method is generally used in identifying hazardous sites since it can interpret the sites in the statistic aspects. The rate qualify control method is based on the assumption that the occurrences of traffic crashes follow the Poisson's distribution in which the expected value of traffic crashes equals the variance of those. However, there is greater variability than expected statistically, we call this phenomenon over dispersion. This study analyzed the problem related to the rate quality control method under the over dispersed data, and established a methodology to solve the problem. As a result of test on the basis of the field data, the new approach produced more reasonable results than those of the Poisson based rate quality control method.
Keywords
교통안전;교통사고자료;과분산;한계사고율법;위험지점;
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  • Reference
1 사고잦은곳 개선사업 업무편람(2002). 건설교통부, pp.19-26
2 도철웅(1991), 교통공학원론(하), pp.728-731
3 Stokes, R. W., and Mutabazi, M. I.(1996), Rate Quality Control Method of identifying hazardous road locations. Transportation Research Record, 1542. Transportation Research Board, National Research Council, Washington D.C., pp.44-48
4 Tarko, A. P., Sinha, K. C., and Farooq, O.(1996), Methodology for identifying highwaysafety problem areas. Transportation Research Record. 1542. ansportation Research Board, National Research Council, Washington D.C., pp.49-53
5 Zegeer, C. V., and Deen, R. C.(1977). Identification of Hazardous Locations on City Streets. Traffic Quarterly, pp.601-610
6 Hauer. E., Persaud. B. N., Smiley. A.. and Duncan. D.(1991). Estimating the accident potential of an Ontario driver. Accident Analysis and Prevention. Vol.23. No.2/3, pp.133-152   DOI
7 Norden, M., Orlansky, J., and Jacobs, H. (1956). Application of Statistical Quality Control Technique to analysis of highwayaccident data. Bulletin 117, HRB, National Research Council, Washington D.C., pp.17-32
8 Hutchinson, T. P., and Mayne. A. J.(1977), The year to year variability in the numbers of road accidents. Traffic Engineering and Control. Vol.18, p.432
9 Maher, M. J., and Summersgill, I.(1996), A comprehensive methodology for the fitting of predictive accident models. Accident Analysis and Prevention. Vol.28, No.3, pp.281-296   DOI   ScienceOn
10 Neter, J., Wasserman. W., and Whitmore, G. A.(1993), Applied statistic: 4th edition. A Division of Somon & Schuster. Inc
11 Hauer, E.. and Persaud. B. N.(1986). How to estimate the safety of rail highway grade crossings and the safety effects of warning devices. Transportation Research Record. 1114, Transportation Research Board. National Research Council. Washington D.C., pp.131-139
12 Hauer, E., and Persaud, B. N.(1984). Problem of identifying hazardous locations using accident data. Transportation Research Record. 975, Transportation Research Board. National Research Council. Washington D.C., pp.31-43
13 Higle, J. L., and Witkowski. J. M.(1988), Bayesian Identification of Hazardous Iocations.Transportation Research Record. 1185. Transportation Research Board. National Research Council. Washington D.C. , pp.24-36
14 Rice, J. A.(1997), Mathematical statistics and data analysis: 2nd edition. Wadsworth. Inc.
15 Hauer, E.(1996), Identification of sites with promise. Transportation Research Record, 1542. Transportation Research Board, National Research Council. Washington D.C.. pp.54-60
16 Hauer, E.(1992), Empirical Bayes approach to the estimation of 'unsafety': the multivariate regression method. Accident Analysis and Prevention, Vol.24. No.5, pp.457-477   DOI   ScienceOn