Deriving Traffic-Performance Measures and Levels of Service from Second-Order Statistical Features of Spatiotemporal Traffic Contour Maps

Transportation Research Record

Volumn , Issue 1858, 2003, Pages 148-157

  Ishak, Sherif ^a  

^a LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; DATA MINING; DATA PROCESSING; DECISION MAKING; HIGHWAY SYSTEMS; IMAGE ANALYSIS; MOTOR TRANSPORTATION; NEURAL NETWORKS; STATISTICAL METHODS;

MAXIMUM LOCAL VARIATION (MLV); PERFORMANCE MONITORING SYSTEMS; TRAFFIC MANAGEMENT CENTERS; TRAFFIC OPERATIONS;

HIGHWAY TRAFFIC CONTROL;

EID: 2142717413     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1858-22     Document Type: Conference Paper

References (20)

1. Witten, I., and E. Frank. Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Academic Press, San Francisco, 2000.
2. Mallach, E. G. Decision Support and Data Warehouse Systems. McGraw-Hill, Boston, 2000.
3. McNeil, S., W. Wallace, and T. Humphrey. Developing an Information Technology-Oriented Basic Research Program for Surface Transportation Systems. University of Illinois, Chicago, 2000.
4. Liu, H., and H. Motoda. Feature Extraction Construction and Selection, a Data Mining Perspective (2nd ed), Kluwer Academic Publishers, Norwell, Mass., 2001.
5. Roess, R., W. McShane, and E. Prassas. Traffic Engineering. Prentice Hall, Englewood Cliffs, N.J., 1998.
6. Khisty, C., and B. Lall. Transportation Engineering: An Introduction. Prentice Hall, Englewood Cliffs, N.J., 2003.
7. May, A. Traffic Flow Fundamentals. Prentice Hall, Englewood Cliffs, N.J., 1990.
8. Papacostas, C., and P. Prevedouros. Transportation Engineering and Planning. Prentice Hall, Englewood Cliffs, N.J., 2001.
9. Garber, N., and L. Hoel. Traffic and Highway Engineering. Brooks/Cole Publishing Company, Pacific Grove, Calif., 2002.
10. Wright, P. Highway Engineering. John Wiley and Sons, Inc., New York, 1996.
11. Highway Capacity Manual. TRB, National Research Council, Washington, D.C., 2000.
12. Banks, J. Introduction to Transportation Engineering. McGraw-Hill, New York, 2002.
13. Choe, T., A. Skabardonis, and P. Varaiya. Freeway Performance Measurement System: Operational Analysis Tool. In Transportation Research Record: Journal of the Transportation Research Board, No. 1811, TRB, National Research Council, Washington, D.C., 2002, pp. 67-75.
14. Kwon, J., B. Coifman, and P. Bickel. Day-to-Day Travel-Time Trends and Travel-Time Prediction from Loop-Detector Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 1717, TRB, National Research Council, Washington, D.C., 2000, pp. 120-129.
15. Ishak, S. S., and H. M. Al-Deek. Fuzzy ART Neural Network Model for Automated Detection of Freeway Incidents. In Transportation Research Record: Journal of the Transportation Research Board, No. 1634, TRB, National Research Council, Washington, D.C., 1998, pp. 56-63.
16. Ishak, S., and H. Al-Deek. Performance of Automatic ANN-Based Incident Detection on Freeways. Journal of Transportation Engineering, ASCE, Vol. 125, No. 4, 1999, pp. 281-290.
17. Theodoridis, S., and K. Koutroumbas. Pattern Recognition. Academic Press, San Diego, 1999.
18. Nixon, M., and A. Aguado. Feature Extraction and Image Processing. Newnes, Woburn, Mass., 2002.
19. Micheli-Tzanakou, E. Supervised and Unsupervised Pattern Recognition, Feature Extraction and Computational Intelligence. CRC Press, Boca Raton, Fla., 2000.
20. Seul, M., L. O'Gorman, and M. Sammon. Practical Algorithms for Image Analysis. Cambridge University Press, New York, 2000.