A novel approach for signalized intersection Crash classification and prediction

Advances in Transportation Studies

Volumn , Issue 9, 2006, Pages 67-80

  Abdel Aty, M ^a   Nawathe, P ^a  

^a UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

Classification; Crash frequency; Crash types; Neural network trees; Signalized intersections; Simulation

Indexed keywords

CRASH FREQUENCY; CRASH TYPE; NEURAL NETWORK TREES; SIGNALIZED INTERSECTION; SIMULATION;

CLASSIFICATION (OF INFORMATION); COMPUTER SIMULATION; ESTIMATION; FILTER BANKS; FORESTRY; NEURAL NETWORKS; TRAFFIC SIGNALS;

INTERSECTIONS;

EID: 76149099037     PISSN: 18245463     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. Abdel-Aty M., Keller J. and Brady P. Analysis of the Types of Crashes at Signalized Intersections using Complete Crash Data and Tree-Based Regression, Journal of the Transportation Research Board, No. 1908, pp. 37-45, 2005
2. Abdelwahab H. and Abdel-Aty M. (2001). Development of Artificial Neural Networks Models to Predict Driver Injury Severity in Traffic Accidents at Signalized Intersections, Journal of the Transportation Research Board, Vol. 1746, pp. 6-13.
3. Abdelwahab H. and Abdel-Aty M. "Investigating Driver Injury Severity in Traffic Accidents using Fuzzy ARTMAP. " Computer Aided Civil and Infrastructure Engineering Vol. 17 Iss. 6 pp. 396-408, 2002.
4. Abdelwahab H. and Abdel-Aty M. "Predicting Injury Severity Levels in Traffic Crashes: A Modeling Comparison. " Journal of Transportation Engineering Vol. 130 Iss. 2 pp. 204-210, 2004.
5. Chen, C. H. "Fuzzy Logic and Neural Network Handbook" McGraw-Hill,1996.
6. Christodoulou C. and Georgiopoulos M. "Applications of Neural Networks in Electromagnetics" Artech House, Boston, 2001.
7. Federal Highway Administration (2003). National Agenda for Intersection Safety (Publication No. FHWA-SA-02-007). Washington, DC: USDOT, FHWA, 2003
8. Greibe, P. "Accident Prediction Models for Urban Roads. " Accident Analysis and Prediction Vol. 35 Iss. 2 pp. 273-285, 2003.
9. Liu, P. and Young, H-G. (2004). A Neural Network Approach on Studying the Effect of Urban Signalized Intersection Characteristics on Occurrence of Traffic Accidents. In: Proceedings of the 83rd Annual Meeting of the Transportation Research Board, Washington D. C., 2004.
10. Poch, M. and Mannering F. "Negative Binomial Analysis of Intersection Accident Frequencies. " Journal of Transportation Engineering Vol. 122 Iss. 2 pp. 105-113, 1996.