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A Development of Traffic Accident Model by Random Parameter : Focus on Capital Area and Busan 4-legs Signalized Intersections
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 Title & Authors
A Development of Traffic Accident Model by Random Parameter : Focus on Capital Area and Busan 4-legs Signalized Intersections
Lee, Geun-Hee; Rho, Jeong-Hyun;
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 Abstract
This study intends to build a traffic accident predictive model considering road geometrics, traffic and enviromental characteristics and identify the relationship of 4-legs intersection accidents in Seoul and Busan metropolitan area. The RPNB(Random Parameter Negative Binomial) model shows improvement over the fixed NB(Negative Binomial) and out of 53 variables, 10 variables (main road number of lane, main road vehicle traffic volume(left), minor road vehicle traffic volume(right), main road drive restriction, minor road sight distance, minor road median strip, minor road speed limit, minor road speed restriction) showed to have significant variables affecting traffic accident occurrences in 4-legs signilized intersections. Also, among 10 significant variables, 2 variables(minor road sight distance, minor road speed restriction) found to be random parameters.
 Keywords
Signalized intersection;Accident Model;Negative Binomial Model;Random Parameter Negative Binomial Model;
 Language
Korean
 Cited by
 References
1.
T. J. Ha, "Development and Application of Traffic Accident Forecasting Model for Signalized Intersections (Four-Legged Signalized Intersections In Kwang-Ju)," Journal of Korean Society of Transportation, vol. 19, no. 6, pp.207-218, 2001.

2.
Y. J. Kwoun, "A Study on the Relationship of Access Management to Traffic Accidents," kyungbuk uni., no. 23, pp.51-60, 2003.

3.
Y. G. Kang, "Traffic Accident Frequency Prediction Model in Urban Signalized Intersections with Intelligent Theories," uni of seoul, 2008.

4.
B. H. Park, "Traffic Accident Models of Cheongju Four-Legged Signalized Intersections by Accident Type," Journal of Korean Society of Transportation, vol. 26, no. 5, pp.153-162, 2008.

5.
Park, j.t., Lee, s.b., Kim, j.o. and Lee, d.m., "Development of a Traffic Accident Prediction Model for Urban Signalized Intersections," Journal of Korean Society of Transportation, vol. 26, no. 4, pp.99-110, 2008.

6.
Park M. H., "Relationship between Interstate Highway Accidents and Heterogeneous Geometrics by Random Parameter Negative Binomial Model - A case of Interstate Highway in Washington State, USA," J. Korea Soc. of Civil Eng., vol. 33, no. 6, pp.2437-2445, 2013. crossref(new window)

7.
S. H. Lee, M. H. Park and Y. H. Woo, "A Study on Developing Crash Prediction Model for Urban Intersections Considering Random Effects," Korea Institute of ITS, vol. 14, no. 1, pp.85-93, 2015.

8.
Washington, S.P., Karlaftis, M.G., Mannering, F.L., "Statistical and Econometric Methods for Transportation Data Analysis," The American Society for Quality and The American Statistical Association, vol. 46, no. 4, pp.492-493, 2004.

9.
Bhat, C., "Simulation estimation of mixed discrete choice models using randomized and scrambles Halton sequences," Transportation Research Part B, vol. 37, no. 1, pp.837-855, 2003. crossref(new window)

10.
Milton, J., Shankar, V. and Mannering, F., "Highway accident severities and the mixed logit model: an exploratory empirical analysis," Accident Analysis and Prevention, vol. 40, no. 1, pp.260-266, 2008. crossref(new window)