Enhancement of automatic incident detection algorithms for Singapore's central expressway

Transportation Research Record

Volumn , Issue 1923, 2005, Pages 144-152

  Mak, Chin Long ^a   Fan, H S L ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUTOMATION; DATABASE SYSTEMS; MOTOR TRANSPORTATION;

AUTOMATIC INCIDENT DETECTION ALGORITHMS; DUAL VARIABLE ALGORITHM; FLOW-BASED ALGORITHMS; TRAFFIC FLOW;

HIGHWAY TRAFFIC CONTROL;

EID: 33645691615     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1923-16     Document Type: Conference Paper

References (10)

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3. Weerasuriya, S. A. An Application of Artificial Neural Networks in Freeway Incident Detection. Ph.D. thesis. University of South Florida, Tampa, 1998.
4. Corby, M. J., and F. F. Saccomanno. Analysis of Freeway Accident Detection. In Transportation Research Record 1603, TRB, National Research Council, Washington D.C., 1997, pp. 80-89.
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7. Dudek, C. L., C. J. Messer, and N. B. Nuckles. Incident Detection on Urban Freeways. In Transportation Research Record 495, TRB, National Research Council, Washington D.C., 1974, pp. 12-24.
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9. Mak, C. L., and H. S. L. Fan. Transferability of Expressway Incident Detection Algorithms to Singapore and Melbourne. Journal of Transportation Engineering, Vol. 131, No. 2, 2005, pp. 101-111.
10. Mak, C. L. New Dual-Variable Algorithms for Detecting Lane-Blocking Incidents on Expressways. Ph.D. thesis. School of Civil and Environmental Engineering, Nanyang Technological University, Singapore, 2002.