메뉴 건너뛰기




Volumn , Issue 1925, 2005, Pages 58-65

Comparison and analysis tool for automatic incident detection

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA ACQUISITION; DATA WAREHOUSES; SENSORS; TELECOMMUNICATION TRAFFIC; VIDEO SIGNAL PROCESSING;

EID: 33646011508     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1925-07     Document Type: Conference Paper
Times cited : (11)

References (21)
  • 2
    • 0018115446 scopus 로고
    • Freeway incident-detection algorithms based on decision trees with states
    • TRB, National Research Council, Washington, D.C.
    • Payne, H. J., and S. C. Tignor. Freeway Incident-Detection Algorithms Based on Decision Trees with States. In Transportation Research Record 682, TRB, National Research Council, Washington, D.C., 1978, pp. 30-37.
    • (1978) Transportation Research Record , vol.682 , pp. 30-37
    • Payne, H.J.1    Tignor, S.C.2
  • 3
    • 0020245110 scopus 로고
    • Discrete dynamic models for freeway incident detection system
    • Ahmed, S. A., and A. R. Cook. Discrete Dynamic Models for Freeway Incident Detection System. Transportation Planning and Technology, Vol. 7, No. 4, 1982, pp. 231-242.
    • (1982) Transportation Planning and Technology , vol.7 , Issue.4 , pp. 231-242
    • Ahmed, S.A.1    Cook, A.R.2
  • 4
    • 0002370882 scopus 로고
    • Incident detection on Urban freeway
    • TRB, National Research Council, Washington, D.C.
    • Dudek, C. L., C. J. Messer, and N. B. Nuckles. Incident Detection on Urban Freeway. In Transportation Research Record 495, TRB, National Research Council, Washington, D.C., 1974.
    • (1974) Transportation Research Record , vol.495
    • Dudek, C.L.1    Messer, C.J.2    Nuckles, N.B.3
  • 5
    • 0004376616 scopus 로고
    • Comparative performance evaluation of incident detection algorithms
    • TRB, National Research Council, Washington, D.C.
    • Stephanedes, Y. J., A. P. Chassiakos, and P. G. Michalopoulos. Comparative Performance Evaluation of Incident Detection Algorithms. In Transportation Research Record 1360, TRB, National Research Council, Washington, D.C., 1992, pp. 50-57.
    • (1992) Transportation Research Record , vol.1360 , pp. 50-57
    • Stephanedes, Y.J.1    Chassiakos, A.P.2    Michalopoulos, P.G.3
  • 6
    • 0000769128 scopus 로고
    • Congestion identification aspects of the McMaster incident detection algorithm
    • TRB, National Research Council, Washington, D.C.
    • Persaud, B. N., F. L. Hall, and L. M. Hall. Congestion Identification Aspects of the McMaster Incident Detection Algorithm. In Transportation Research Record 1287, TRB, National Research Council, Washington, D.C., 1990, pp. 167-175.
    • (1990) Transportation Research Record , vol.1287 , pp. 167-175
    • Persaud, B.N.1    Hall, F.L.2    Hall, L.M.3
  • 7
    • 0002436698 scopus 로고
    • Distinguishing between incident congestion and recurrent congestion: A proposed logic
    • TRB, National Research Council, Washington, D.C.
    • Gall, A. I., and F. L. Hall. Distinguishing Between Incident Congestion and Recurrent Congestion: A Proposed Logic. In Transportation Research Record 1232, TRB, National Research Council, Washington, D.C., 1989, pp. 1-8.
    • (1989) Transportation Research Record , vol.1232 , pp. 1-8
    • Gall, A.I.1    Hall, F.L.2
  • 8
    • 0027841796 scopus 로고
    • On-line testing of the McMaster incident detection algorithm under recurrent congestion
    • TRB, National Research Council, Washington, D.C.
    • Hall, F. L., Y. Shi, and G. Atala. On-Line Testing of the McMaster Incident Detection Algorithm Under Recurrent Congestion. In Transportation Research Record 1394, TRB, National Research Council, Washington, D.C., 1993, pp. 1-8.
    • (1993) Transportation Research Record , vol.1394 , pp. 1-8
    • Hall, F.L.1    Shi, Y.2    Atala, G.3
  • 11
    • 0029332504 scopus 로고
    • Artificial neural networks for freeway incident detection
    • TRB, National Research Council, Washington, D.C.
    • Stephanedes, Y. J., and X. Lin. Artificial Neural Networks for Freeway Incident Detection. In Transportation Research Record 1494, TRB, National Research Council, Washington, D.C., 1995, pp. 91-97.
    • (1995) Transportation Research Record , vol.1494 , pp. 91-97
    • Stephanedes, Y.J.1    Lin, X.2
  • 12
    • 0033340740 scopus 로고    scopus 로고
    • Enhancing the universality and transferability of freeway incident detection using a Bayesian-based neural network
    • Abdulhai, B., and S. Ritchie. Enhancing the Universality and Transferability of Freeway Incident Detection Using a Bayesian-Based Neural Network. Transportation Research, Vol. 7C, 1999, pp. 261-280.
    • (1999) Transportation Research , vol.7 C , pp. 261-280
    • Abdulhai, B.1    Ritchie, S.2
  • 14
    • 0008801537 scopus 로고
    • Evaluation of video image processing systems for traffic detection
    • TRB, National Research Council, Washington, D.C.
    • MacCarley, C. A., S. L. M. Hockaday, D. Need, and S. Taff. Evaluation of Video Image Processing Systems for Traffic Detection. In Transportation Research Record 1360, TRB, National Research Council, Washington, D.C., 1992, pp. 46-49.
    • (1992) Transportation Research Record , vol.1360 , pp. 46-49
    • MacCarley, C.A.1    Hockaday, S.L.M.2    Need, D.3    Taff, S.4
  • 20
    • 0017502975 scopus 로고
    • Improved freeway incident detection algorithms
    • Tignor, S. C., and H. J. Payne. Improved Freeway Incident Detection Algorithms. Public Roads, Vol. 41, No. 1, 1977, pp. 32-40.
    • (1977) Public Roads , vol.41 , Issue.1 , pp. 32-40
    • Tignor, S.C.1    Payne, H.J.2
  • 21
    • 85173128824 scopus 로고    scopus 로고
    • Development of a testbed for automatic incident detection systems
    • Canadian Institute of Transportation Engineers
    • Browne, R. S., S. Foo, B. Abdulhai, and F. L. Hall. Development of a Testbed for Automatic Incident Detection Systems. In 2004 Conference Compendium, Canadian Institute of Transportation Engineers, 2004.
    • (2004) 2004 Conference Compendium
    • Browne, R.S.1    Foo, S.2    Abdulhai, B.3    Hall, F.L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.