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한국도로학회논문집 = International journal of highway engineering   v.20 no.2 = no.88, 2018년, pp.119 - 126   KCI
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Random Parameters 음이항 모형을 이용한 신호교차로 교통사고 모형개발에 관한 연구 -대전광역시를 대상으로 -
Traffic Accident Models using a Random Parameters Negative Binomial Model at Signalized Intersections: A Case of Daejeon Metropolitan Area

박민호   (인천발전연구원 교통물류연구실  ); 홍정열   (서울시립대학교 교통공학과  );
  • 초록

    PURPOSES : The purpose of this study is to develop a crash prediction model at signalized intersections, which can capture the randomness and uncertainty of traffic accident forecasting in order to provide more precise results. METHODS : The authors propose a random parameter (RP) approach to overcome the limitation of the Count model that cannot consider the heterogeneity of the assigned locations or road sections. For the model's development, 55 intersections located in the Daejeon metropolitan area were selected as the scope of the study, and panel data such as the number of crashes, traffic volume, and intersection geometry at each intersection were collected for the analysis. RESULTS : Based on the results of the RP negative binomial crash prediction model developed in this study, it was found that the independent variables such as the log form of average annual traffic volume, presence or absence of left-turn lanes on major roads, presence or absence of right-turn lanes on minor roads, and the number of crosswalks were statistically significant random parameters, and this showed that the variables have a heterogeneous influence on individual intersections. CONCLUSIONS : It was found that the RP model had a better fit to the data than the fixed parameters (FP) model since the RP model reflects the heterogeneity of the individual observations and captures the inconsistent and biased effects.


  • 주제어

    crash  . random parameter negative binomial  . intersection  . heterogeneity  .

  • 참고문헌 (18)

    1. Vogt, A., Bared, J. (1998), "Accident models for two-lane rural segments and intersections", Transportation Research Record, 1635, Transportation Research Board, pp.18-29. 
    2. Washington, S.P., Karlaftis, M.G., Mannering, F.L. (2003), Statistical and Econometric Methods for Transportation Data Analysis, Chapman & Hall/CRC. 
    3. Shankar, V., Albin. R., Milton, J., and Mannering. F. (1998), "Evaluating median cross-over likelihoods with clustered accident counts: An empirical inquiry using random effects negative binomial", Transportation Research Record, 1635, Transportation Research Board, pp.44-48. 
    4. Shankar, V., Mannering, F., Barfield, W. (1995). "Effect of Roadway Geometric and Environmental Factors on Rural Freeway Accident Frequencies", Accident Analysis and Prevention, Vol.27, No.3. pp.371-379. 
    5. Greene, W. (2007). Limdep Ver9.0. Econometric Software Inc. 
    6. Greibe, P. (2003). "Accident prediction models for urban roads", Accident Analysis and Prevention, Vol.35, pp.273-285. 
    7. Highway Safety Manual Knowledge Base, NCHRP 17-27. 2009. 
    8. Joshua S. C., Garber N. J. (1990). "Estimating Truck Accident Rate and Involvements Using Linear and Poisson regression models", Transportation Planning and Technology, Vol.15, No.1, pp.41-58. 
    9. Jovanis, P.P., and Chang, H.L. (1986) "Modeling the Relationship of accidents to miles traveled", Transportation Research Record, 1068, Transportation Research Board. pp.41-48. 
    10. Lee, J., Mannering, F.L. (2002). "Impact of roadside features on the frequency and severity of run-off-roadway accidents; am empirical analysis". Accident analysis and prevention, Vol.34, No.2, pp.149-161. 
    11. Miaou, S. (1994). "The relationship between truck accidents and geometric design of road section: Poisson versus Negative Binomial regression", Accident Analysis and Prevention, Vol.26, No.4. pp.471-482. 
    12. Milton, J. and Mannering, F. (1998). "The relationship among highway geometries, traffic-related elements and motor-vehicle accident frequencies", Transportation, Vol.25. pp.395-413. 
    13. Milton, J., Shankar, V. and Mannering, F. (2008). "Highway accident severities and the mixed logit model: an exploratory empirical analysis", Accident analysis and prevention, Vol.40, No.1, pp.260-266. 
    14. Bhat, C. (2003)., "Simulation estimation of mixed discrete choice models using randomized and scrambles Halton sequences", Accident analysis and prevention, Vol.37, No.1, pp. 837-855. 
    15. Fridstrom, L., Ifver, J., Ingebrigtsen, S., Kulmala, R., and Thomsen. (1995). "Measuring the contribution of randomness, exposure, weather, and daylight to the variation in road accident counts", Accident Analysis and Prevention, Vol.27, No.1, pp.1-20. 
    16. Noland, R. and Oh, L. (2004). "The effect of infrastructure and demographic change on traffic-related fatalities and crashes: a case study of Illinois county-level data", Accident Analysis and Prevention, Vol. 36, No.4, pp.525-532. 
    17. Poch, M., Mannering, F. (1996). "Negative binomial analysis of intersection accident frequencies", Journal of Transportation Engineering, Vol.122, No.2, pp.105-113 
    18. Abdel-Aty, M.A. and Radwan, A.E. (2000). "Modeling traffic accident occurrence and involvement", Accident Analysis and Prevention., Vol.32, No.5, pp.633-642. 

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