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Volumn , Issue , 2006, Pages 1229-1233

Fuzzy neural network model applied in the traffic flow prediction

Author keywords

Fuzzy neural network model; Prediction; Traffic flow

Indexed keywords

APPLIED (CO); FUZZY NETWORKS; FUZZY NEURAL NETWORK (FNN) MODELS; INFORMATION ACQUISITIONS; INPUT AND OUTPUT (I/O); INTERNATIONAL CONFERENCES; REAL-TIME TRAFFIC CONTROL; SAMPLED DATA; TRAFFIC FLOW PREDICTION; TRAFFIC FLOWING; TRAFFIC PATTERNS;

EID: 46249133251     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIA.2006.305923     Document Type: Conference Paper
Times cited : (13)

References (9)
  • 1
    • 0033226152 scopus 로고    scopus 로고
    • Application of Subset Autoregressive Integrated Moving Average Model for Short-term Freeway Traffic Volume Forecasting
    • TRB, National Research Council, Washington, D.C
    • S.Lee, D.B. Fambro, "Application of Subset Autoregressive Integrated Moving Average Model for Short-term Freeway Traffic Volume Forecasting", Transportation Research Record, No. 1678, TRB, National Research Council, Washington, D.C., 1999
    • (1999) Transportation Research Record , Issue.1678
    • Lee, S.1    Fambro, D.B.2
  • 2
    • 0035480351 scopus 로고    scopus 로고
    • Use of sequential learning for short-term traffic flow forecasting
    • Haibo Chen, Susan Graant-Muller, " Use of sequential learning for short-term traffic flow forecasting", Transportation Research Part C 9,2001, pp. 319-336
    • (2001) Transportation Research Part C , vol.9 , pp. 319-336
    • Chen, H.1    Graant-Muller, S.2
  • 3
    • 0031472064 scopus 로고    scopus 로고
    • Traffic flow forecasting: Comparison of modeling approaches
    • July
    • B.L. Smith, M. Demetsky, "Traffic flow forecasting: comparison of modeling approaches", Journal of Transportation Engineering, Vol.123, No.4, July 1997
    • (1997) Journal of Transportation Engineering , vol.123 , Issue.4
    • Smith, B.L.1    Demetsky, M.2
  • 5
    • 13344294320 scopus 로고    scopus 로고
    • Traffic flow prediction based on generalized neural network
    • Washington, D.C, USA, pp, October
    • Guozhen Tan, Wenjiang Yuan, Hao Ding, "Traffic flow prediction based on generalized neural network", 2004 IEEE Intelligent Transportation Systems Conference, Washington, D.C., USA, pp. 406-409, October 2004
    • (2004) 2004 IEEE Intelligent Transportation Systems Conference , pp. 406-409
    • Tan, G.1    Yuan, W.2    Ding, H.3
  • 6
    • 0003756895 scopus 로고    scopus 로고
    • Forecasting freeway traffic flow for intelligent transportation system applications
    • Doctoral dissertation. Department of Civil Engineering, University of Virginia, Charlottesville
    • Smith, B.L., "Forecasting freeway traffic flow for intelligent transportation system applications". Doctoral dissertation. Department of Civil Engineering, University of Virginia, Charlottesville.
    • Smith, B.L.1
  • 7
    • 0010373099 scopus 로고    scopus 로고
    • Modeling and forecasting vehicular traffic flow as a seasonal stochastic time series process
    • Doctoral dissertation. Department of Civil Engineering, University of Virginia, Charlottesville
    • Williams, B.M., "Modeling and forecasting vehicular traffic flow as a seasonal stochastic time series process", Doctoral dissertation. Department of Civil Engineering, University of Virginia, Charlottesville
    • Williams, B.M.1
  • 8
    • 0032077381 scopus 로고    scopus 로고
    • A performance evaluation of neural network models in traffic volume forecasting
    • S.Y. Yun, S. Namkoong, "A performance evaluation of neural network models in traffic volume forecasting", Mathematical and Computer Modeling, Vol. 27, No.6, pp. 293-310, 1998
    • (1998) Mathematical and Computer Modeling , vol.27 , Issue.6 , pp. 293-310
    • Yun, S.Y.1    Namkoong, S.2
  • 9
    • 0036532655 scopus 로고    scopus 로고
    • Urban traffic flow prediction using a fuzzy-neural approach
    • Hongbin Yin, S.C. Wong, Jianmin Xu, C.K. Wong, "Urban traffic flow prediction using a fuzzy-neural approach", Transportation Research Part C 10, 2002, pp. 85-98
    • (2002) Transportation Research Part C , vol.10 , pp. 85-98
    • Yin, H.1    Wong, S.C.2    Xu, J.3    Wong, C.K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.