Relation of flow, speed, and density of urban freeways to functional form of a safety performance function

Transportation Research Record

Volumn , Issue 2236, 2011, Pages 11-19

  Kononov, Jake ^a   Lyon, Craig ^b   Allery, Bryan K ^a  

^a State of Colorado   (United States)

^b NONE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ACCIDENTS; MOTOR TRANSPORTATION;

FLOW PARAMETERS; FLOW SPEED; FUNCTIONAL FORMS; GENERALIZED LINEAR MODEL; NEURAL-NETWORKS; POWER FUNCTIONS; SAFETY PERFORMANCE FUNCTION; SIGMOIDS; TRAFFIC FLOW; URBAN FREEWAYS;

CURING;

EID: 84855233239     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2236-02     Document Type: Review

References (10)

1. Abdel-Aty, M. A., and A. E. Radwan. Modeling Traffic Accident Occurrence and Involvement. Accident Analysis & Prevention, Vol. 32, No. 5, 2000, pp. 633-642.
2. Lord, D., S. Washington, and J. Ivan. Poisson, Poisson-Gamma and Zero-Inflated Regression Models of Motor Vehicle Crashes: Balancing Statistical Fit and Theory. Accident Analysis and Prevention, Vol. 37, No. 1, 2005, pp. 35-46.
3. Lord, D., A. Manar, and A. Vizioli. Modeling Crash-Flow-Density and Crash-Flow: V/C Ratio for Rural and Urban Freeway Segments. Accident Analysis and Prevention, Vol. 37, No. 1, pp. 185-199.
4. Hauer, E. Cause, Effect and Regression in Road Safety: A Case Study. Accident Analysis and Prevention, Vol. 42, No. 4, pp. 1128-1135.
5. Hauer, E. Statistical Road Safety Modeling. In Transportation Research Record: Journal of the Transportation Research Board, No. 1897, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 81-87. (Pubitemid 40536400)
6. Special Report 209: Highway Capacity Manual. TRB, National Research Council, Washington, D.C., 2000.
7. Hauer, E., and J. Bamfo. Two Tools for Finding What Function Links the Dependent Variable to the Explanatory Variables. Proc., International Cooperation on Theories and Concepts in Traffic Conference, Lund, Sweden, November 1997.
8. Ripley, B. D. Pattern Recognition and Neural Networks. Cambridge University Press, Cambridge, United Kingdom, 1996.
9. Wahba, G. Spline Models for Observational Data. Proc., Society for Industrial and Applied Mathematics, Philadelphia, Pa., 1990.
10. Rao, S. S. Applied Numerical Methods for Engineers and Scientists. Prentice Hall, Upper Saddle River, N.J., 2002.