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Volumn , Issue 1634, 1998, Pages 56-63

Fuzzy ART neural network model for automated detection of freeway incidents

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUTOMATION; BACKPROPAGATION; COMPUTER SIMULATION; FUZZY CONTROL; HIGHWAY ADMINISTRATION; NEURAL NETWORKS;

EID: 0032207066     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1634-07     Document Type: Article
Times cited : (18)

References (18)
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    • TRB, National Research Council, Washington, D.C.
    • Payne, H., and S. 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.
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    • Payne, H.1    Tignor, S.2
  • 5
    • 0017502975 scopus 로고
    • Improved Freeway Incident-Detection Algorithms
    • June
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    • (1977) Public Roads , pp. 32-40
    • Tignor, S.1    Payne, H.2
  • 6
    • 0039274082 scopus 로고    scopus 로고
    • Impact of Freeway Geometric and Incident Characteristics on Incident Detection
    • November/December
    • Al-Deek, H. M., S. S. Ishak, and A. A. Khan. Impact of Freeway Geometric and Incident Characteristics on Incident Detection. ASCE Journal of Transportation Engineering, Vol. 122, No. 6, November/December 1996.
    • (1996) ASCE Journal of Transportation Engineering , vol.122 , Issue.6
    • Al-Deek, H.M.1    Ishak, S.S.2    Khan, A.A.3
  • 8
    • 0024631226 scopus 로고
    • Catastrophe Theory and Patterns in 30-Second Freeway Traffic Data - Implications for Incident Detection
    • Persaud, B., and F. Hall. Catastrophe Theory and Patterns in 30-Second Freeway Traffic Data - Implications for Incident Detection. Transportation Research-A, Vol. 23A, No. 2, 1989, pp. 103-113.
    • (1989) Transportation Research-A , vol.23 A , Issue.2 , pp. 103-113
    • Persaud, B.1    Hall, F.2
  • 9
    • 0002436698 scopus 로고
    • Distinguishing between Incident Congestion and Recurrent Congestion: A Proposed Logic
    • TRB, National Research Council, Washington, D.C.
    • Gall, A., and F. Hall. Distinguishing Between Incident Congestion and Recurrent Congestion: A Proposed Logic. In Transportation Research Record 1232, TRB, National Research Council, Washington, D.C., 1990, pp. 1-8.
    • (1990) Transportation Research Record 1232 , pp. 1-8
    • Gall, A.1    Hall, F.2
  • 10
    • 0026882520 scopus 로고
    • Identifying Incident Congestion
    • June
    • Forbes, J. F. Identifying Incident Congestion. ITE Journal, June 1992, pp. 17-22.
    • (1992) ITE Journal , pp. 17-22
    • Forbes, J.F.1
  • 12
    • 0001009533 scopus 로고
    • Freeway Incident Detection through Filtering
    • Stephanedes, Y. J., and P. C. Athanassios. Freeway Incident Detection through Filtering. Transportation Research-C, Vol. 1, No. 3, 1993, pp. 219-233.
    • (1993) Transportation Research-C , vol.1 , Issue.3 , pp. 219-233
    • Stephanedes, Y.J.1    Athanassios, P.C.2
  • 13
    • 0000878974 scopus 로고
    • Simulation of Freeway Incident Detection Using Artificial Neural Networks
    • Ritchie, S. G., and L. C. Ruey. Simulation of Freeway Incident Detection Using Artificial Neural Networks. Transportation Research-C, Vol. 1. No. 3, 1993, pp. 203-217.
    • (1993) Transportation Research-C , vol.1 , Issue.3 , pp. 203-217
    • Ritchie, S.G.1    Ruey, L.C.2
  • 14
    • 0029416188 scopus 로고
    • Automated Detection of Lane-Blocking Freeway Incidents Using Artificial Neural Networks
    • Cheu, R. L., and S. G. Ritchie. Automated Detection of Lane-Blocking Freeway Incidents Using Artificial Neural Networks. Transportation Research-C, Vol. 3C, No. 6., 1995, pp. 371-388.
    • (1995) Transportation Research-C , vol.3 C , Issue.6 , pp. 371-388
    • Cheu, R.L.1    Ritchie, S.G.2
  • 15
    • 3242851245 scopus 로고    scopus 로고
    • Development of Artificial Neural Network Models for Automated Detection of Freeway Incidents
    • Pergamon Press
    • Dia, H., and G. Rose. Development of Artificial Neural Network Models for Automated Detection of Freeway Incidents. World Transport Research Proceedings of the 7th WCTR, Vol. 2, Pergamon Press, 1996, pp. 107-122.
    • (1996) World Transport Research Proceedings of the 7th WCTR , vol.2 , pp. 107-122
    • Dia, H.1    Rose, G.2
  • 16
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    • Application of Fuzzy Logic and Neural Networks to Automatically Detect Freeway Traffic Incidents
    • Hsiao, C. H., C. T. Lin, and M. Cassidy. Application of Fuzzy Logic and Neural Networks to Automatically Detect Freeway Traffic Incidents. ASCE Journal of Transportation Engineering, Vol. 120, No. 5, 1994.
    • (1994) ASCE Journal of Transportation Engineering , vol.120 , Issue.5
    • Hsiao, C.H.1    Lin, C.T.2    Cassidy, M.3
  • 17
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    • Fast Stable Learning and Categorization of Analog Patterns by an Adaptive Resonance System
    • Carpenter, G. A., S. Grossberg, and D. B. Rosen. Fast Stable Learning and Categorization of Analog Patterns by an Adaptive Resonance System. Neural Networks, Vol. 4, 1991, pp. 759-771.
    • (1991) Neural Networks , vol.4 , pp. 759-771
    • Carpenter, G.A.1    Grossberg, S.2    Rosen, D.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.