Analysis of freeway incident duration for atis applications

15th World Congress on Intelligent Transport Systems and ITS America Annual Meeting 2008

Volumn 2, Issue , 2008, Pages 950-958

  Kim, Woon ^a   Chang, Gang Len ^a   Rochon, Steven M ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Incident duration; Incident management; Prediction model; Tree model

Indexed keywords

CLASSIFICATION TREES; INCIDENT DURATION; INCIDENT MANAGEMENT; MODEL DEVELOPMENT; PREDICTION ACCURACY; PREDICTION MODEL; PRELIMINARY ANALYSIS; TREE MODELS;

TRAFFIC CONTROL;

MATHEMATICAL MODELS;

EID: 84879016999     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Transportation Research Board (TRB), Special Report 209: Highway Capacity Manual, National Research Council, Washington, D.C., 1994
2. T. F. Golob, W. W. Recker, and J. D. Leonard, "An Analysis of the Severity and Incident Duration of Truck-Involved Freeway Accidents", Accident Analysis and Prevention, Vol. 19, No. 4, August 1987, pp. 375-395
3. D. Nam, and F. Mannering, "An Exploratory Hazard-Based Analysis of Highway Incident Duration", Transportation Research - A, Vol. 34A, No. 2, 2000, pp. 85-102
4. A. Garib, A. E. Radwan, and H. Al-Deek, "Estimating Magnitude and Duration of Incident Delays", Journal of Transportation Engineering, Vol. 123, No. 6, November/December 1997, pp. 459-466
5. A. J. Khattak, J. L. Schofer, and M-H. Wang, "A Simple Time Sequential Procedure for Predicting Freeway Incident Duration", IVHS Journal, Vol. 2, No. 2, 1995, pp. 113-138
6. K. Smith, and B. Smith, "Forecasting the Clearance Time of Freeway Accidents", Research Report, STL-2001-01, Center for Transportation Studies, University of Virginia, Charlottesville, VA, 2001
7. P-W. Lin, N. Zou, and G-L. Chang, "Integration of a Discrete Choice Model and a Rule- Based System for Estimation of Incident Duration: a Case Study in Maryland", CD-ROM of Proceedings of the 83rd TRB Annual Meeting, Washington, D.C., 2004
8. L. Breiman, J. H. Friedman, R. A. Olshen., and C. J. Stone, Classification and regression trees
9. T. Hill, and P. Lewicki, Statistics: Methods and Applications