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Volumn , Issue 1811, 2002, Pages 12-20

Mobile sensor and sample-based algorithm for freeway incident detection

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; GROUND VEHICLES; HIGHWAY ACCIDENTS; NEURAL NETWORKS; SENSORS;

EID: 0036979399     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (27)

References (17)
  • 1
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    • Development of freeway incident - Detection algorithms by using pattern-recognition techniques
    • TRB, National Research Council, Washington, D.C.
    • Tsai, J., and E. R. Case. Development of Freeway Incident - Detection Algorithms by Using Pattern-Recognition Techniques. In Transportation Research Record 722, TRB, National Research Council, Washington, D.C., 1979, pp. 113-116.
    • (1979) Transportation Research Record 722 , pp. 113-116
    • Tsai, J.1    Case, E.R.2
  • 2
    • 0024631226 scopus 로고
    • Catastrophe theory and patterns in 30-second freeway traffic data - Implication for incident detection
    • Persaud, B. N., and F. L. Hall. Catastrophe Theory and Patterns in 30-Second Freeway Traffic Data - Implication for Incident Detection. Transportation Research A, Vol. 23, No. 2, 1989, pp. 103-113.
    • (1989) Transportation Research A , vol.23 , Issue.2 , pp. 103-113
    • Persaud, B.N.1    Hall, F.L.2
  • 3
    • 0001009533 scopus 로고
    • Freeway incident detection through filtering
    • Stephanedes, Y. J., and A. P. Chassiakos. 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    Chassiakos, A.P.2
  • 4
    • 0000878974 scopus 로고
    • Simulation of freeway incident detection using artificial neural networks
    • Ritchie, S. G., and R. L. Cheu. 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    Cheu, R.L.2
  • 5
    • 0028497383 scopus 로고
    • 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. Journal of Transportation Engineering, Vol. 120, No. 5,1994, pp. 753-772.
    • (1994) Journal of Transportation Engineering , vol.120 , Issue.5 , pp. 753-772
    • Hsiao, C.H.1    Lin, C.T.2    Cassidy, M.3
  • 7
    • 0034324290 scopus 로고    scopus 로고
    • Fuzzy-wavelet RBFNN model for freeway incident detection
    • Adeli, H., and A. Karim. Fuzzy-Wavelet RBFNN Model for Freeway Incident Detection. Journal of Transportation Engineering, Vol. 126, No. 6, 2000, pp. 464-471.
    • (2000) Journal of Transportation Engineering , vol.126 , Issue.6 , pp. 464-471
    • Adeli, H.1    Karim, A.2
  • 8
    • 0034433488 scopus 로고    scopus 로고
    • Automated vehicle identification technology-based freeway incident detection
    • TRB, National Research Council, Washington, D.C.
    • Hellinga, B., and G. Knapp. Automated Vehicle Identification Technology-Based Freeway Incident Detection. In Transportation Research Record: Journal of the Transportation Research Board, No. 1727, TRB, National Research Council, Washington, D.C., 2000, pp. 142-153.
    • (2000) Transportation Research Record: Journal of the Transportation Research Board , vol.1727 , pp. 142-153
    • Hellinga, B.1    Knapp, G.2
  • 9
    • 41849133567 scopus 로고    scopus 로고
    • Incident detection with probe vehicles: Performance, infrastructure requirements, and feasibility
    • Petty, K. F., A. Skabardonis, and P. Varaiya. Incident Detection with Probe Vehicles: Performance, Infrastructure Requirements, and Feasibility. Transportation System, Vol. 1, 1997, pp. 125-130.
    • (1997) Transportation System , vol.1 , pp. 125-130
    • Petty, K.F.1    Skabardonis, A.2    Varaiya, P.3
  • 11
    • 85173169673 scopus 로고    scopus 로고
    • Accessed July 24
    • Land Transportation Authority. Traffic.Smart, http://www.traffic.smart.lta.gov.sg/index.htm. Accessed July 24, 2001.
    • (2001)
  • 16
    • 0029416188 scopus 로고    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. 3, No. 6, 1996, pp. 371-388.
    • (1996) Transportation Research C , vol.3 , Issue.6 , pp. 371-388
    • Cheu, R.L.1    Ritchie, S.G.2
  • 17
    • 85173140612 scopus 로고    scopus 로고
    • Development and adaptation of constructive probabilistic neural network for freeway incident detection
    • in press
    • Jin, X., R. L. Cheu, and D. Srinivasan. Development and Adaptation of Constructive Probabilistic Neural Network for Freeway Incident Detection. Transportation Research C, Vol. 8 (in press).
    • Transportation Research C , vol.8
    • Jin, X.1    Cheu, R.L.2    Srinivasan, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.