Crash frequency analysis with generalized additive models

Transportation Research Record

Volumn , Issue 2061, 2008, Pages 39-45

  Xie, Yuanchang ^a   Zhang, Yunlong ^b  

^a SOUTH CAROLINA STATE UNIVERSITY   (United States)

^b Department of Electrical and Computer Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CRASH FREQUENCY; EXPLANATORY VARIABLES; FREQUENCY ANALYSIS; GENERALIZED ADDITIVE MODEL; GENERALIZED LINEAR MODEL; LINEAR RELATIONSHIPS; MODEL USE; NEGATIVE BINOMIAL; NON-LINEAR RELATIONSHIPS; SMOOTH FUNCTIONS;

STATISTICAL TESTS;

EID: 56749106251     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2061-05     Document Type: Article

References (21)

1. Xie, Y., Y. Zhang, and F. Liang. Crash Injury Severity Analysis Using a Bayesian Ordered Probit Model. Presented at 86th Annual Meeting of the Transportation Research Board, Washington, D.C., 2007,
2. Miaou, S. P., and H. Lum, Modeling Vehicle Accidents and Highway Geometric Design Relationships. Accident Analysis & Prevention, Vol. 25, No. 6, 1993, pp. 689-709.
3. Lord, D., S. P. Washington, and J. N. Ivan. Poisson, Poisson-Gamma, and Zero-Inflated Regression Models of Motor Vehicle Crashes: Balancing Statistical Fit and Theory. Accident Analysis & Prevention, Vol. 37, No. 1, 2005, pp. 35-46.
4. Milton, J., and F. Mannering. The Relationship Among Highway Geometries, Traffic-Related Elements and Motor-Vehicle Accident Frequencies. Transportation, Vol. 25, No. 4, 1998, pp. 395-413.
5. Miaou, S. P. The Relationship Between Truck Accidents and Geometric Design of Road Sections: Poisson Versus Negative Binomial Regressions. Accident Analysis & Prevention, Vol. 26, No. 4, 1994, pp. 471-482.
6. Oh, J., S. P. Washington, and D. Nam. Accident Prediction Model for Railway-Highway Interfaces. Accident Analysis & Prevention, Vol. 38, No, 2, 2006, pp. 346-356.
7. Shankar, V., J. Milton, and F. Mannering. Modeling Accident Frequencies as Zero-Altered Probability Processes: An Empirical Inquiry. Accident Analysis & Prevention, Vol. 29, No. 6, 1997. pp. 829-837.
8. Qin, X., J. N. Ivan, N. Ravishanker, and J. Liu. Hierarchical Bayesian Estimation of Safety Performance Functions for Two-Lane Highways Using Markov Chain Monte Carlo Modeling. Journal of Transportation Engineering, ASCE, Vol. 131, No. 5, 2005, pp. 345-351.
9. Abdelwahab, H. T., and M. A. Abdel-Aty. Artificial Neural Networks and Logit Models for Traffic Safety Analysis of Toll Plazas. In Transportation Research Record: Journal of the Transportation Research Board, No. 1784, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 115-125.
10. Xie, Y., D. Lord, and Y. Zhang. Predicting Motor Vehicle Collisions Using Bayesian Neural Network Models: An Empirical Analysis. Accident Analysis & Prevention, Vol. 39, No. 5, 2007, pp. 922-933.
11. Li, X., D. Lord, Y. Zhang, and Y. Xie. Predicting Motor Vehicle Crashes Using Support Vector Machine Models. Presented at 87th Annual Meeting of the Transportation Research Board, Washington, D.C., 2008.
12. Hastie, T. J.,and R. J. Tibshirani. Generalized Additive Models. Chapman and Hall, New York, 1990.
13. Wood, S.N. Generalized Additive Models: An Introduction with R. Chapman and Hall/CRC, Boca Raton. Fla., 2006.
14. Akaike, H. Information Theory and an Extension of the Maximum Likelihood Principle. In Proceedings of the Second International Symposium on Information Theory (B. N. Petrov and F. Csaki, eds.), Akademiai Kiado, Budapest, Hungary, 1973, pp. 267-281.
15. Akaike, H. A New Look at the Statistical Model Identification. IEEE Transactions on Automatic Control, Vol. 19, No. 6, 1974, pp. 716-723.
16. Miaou, S.-P., and D. Lord. Modeling Traffic Crash-Flow Relationships for Intersections: Dispersion Parameter, Functional Form, and Bayes Versus Empirical Bayes Methods. In Transportation Research Record: Journal of the Transportation Research Board, No. 1840, Transportation Research Board of the National Academies, Washington D.C., 2003, pp. 31-40.
17. Liu, W., and J. Cela. Improving Credit Scoring by Generalized Additive Model. Presented at SAS Global Forum, Orlando, Fla., 2007. http://www2.sas.com/ proceedings/forum2007/078-2007.pdf. Accessed July 3, 2007.
18. The R Project for Statistical Computing (Version 2.5.1). Vienna University of Economics and Business Administration. http://www.r-project.org/. Accessed July 3,2007.
19. Ripley, B. The VR Package (Version 7.2-34). http://cran.r-project. org/doc/packagesVR.pdf. Accessed July 3, 2007.
20. Wood, S. The mgcv Package (Version 1.3-25). http://cran.r-project.org/ doc/packages/mgcv.pdf. Accessed July 3, 2007.
21. Greene, W. H. Econometric Analysis, 4th ed. Prentice Hall, Upper Saddle River, N.J., 2000.