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Volumn 98 CCIS, Issue PART 2, 2010, Pages 230-237

Short-term traffic flow prediction based on interval type-2 fuzzy neural networks

Author keywords

parameter learning; structure identification; traffic flow prediction; TSK interval type 2 fuzzy neural network

Indexed keywords

BP ALGORITHM; FUZZY-NEURAL; HIERARCHICAL FUZZY; NETWORK STRUCTURES; PARAMETER LEARNING; PREDICTION ACCURACY; SHORT-TERM TRAFFIC FLOW; STRUCTURE IDENTIFICATION; TRAFFIC FLOW; TRAFFIC FLOW PREDICTION; WHOLE PROCESS;

EID: 78149272456     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-15859-9_32     Document Type: Conference Paper
Times cited : (5)

References (11)
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    • (1997) Transportation Research Board 76th Annual Meeting , vol.21
    • Sen, A.1    Sööt, S.2    Ligas, J.3    Tian, X.4
  • 2
    • 0002429747 scopus 로고
    • An Online Dynamic Traffic Prediction Model for an Inter-Urban Motorway Network
    • Gartner, N.H., Improta, G. (eds.) Springer, New York
    • Akiva, B., Cascetta, M., Gunn, E.H.: An Online Dynamic Traffic Prediction Model for an Inter-Urban Motorway Network. In: Gartner, N.H., Improta, G. (eds.) Urban Traffic Networks: Dynamic Flow Modeling and Control, pp. 83-122. Springer, New York (1995)
    • (1995) Urban Traffic Networks: Dynamic Flow Modeling and Control , pp. 83-122
    • Akiva, B.1    Cascetta, M.2    Gunn, E.H.3
  • 3
    • 0035480351 scopus 로고    scopus 로고
    • Use of Sequential Learning for Short-term Traffic Flow Forecasting
    • Chen, H.B., Muller, S.G.: Use of Sequential Learning for Short-term Traffic Flow Forecasting. Transportation Research, Part C 9, 319-336 (2001)
    • (2001) Transportation Research, Part C , vol.9 , pp. 319-336
    • Chen, H.B.1    Muller, S.G.2
  • 4
  • 5
    • 0002859031 scopus 로고
    • An Integrated Approach to Vehicle Routing and Congestion Prediction for Real-time Driver Guidance
    • TRB, Washington, D.C
    • Kaysi, I., Ben-Akiva, M., Koutsopoulos, H.: An Integrated Approach to Vehicle Routing and Congestion Prediction for Real-time Driver Guidance. In: Transportation Research Record 1408, TRB, Washington, D.C, pp. 66-74 (1993)
    • (1993) Transportation Research Record 1408 , pp. 66-74
    • Kaysi, I.1    Ben-Akiva, M.2    Koutsopoulos, H.3
  • 7
    • 50249111530 scopus 로고    scopus 로고
    • Short-Term Traffic Flow Prediction Based on Ratio-Median Lengths of Intervals Two-Factors High-Order Fuzzy Time Series
    • Zhao, L., Wang, F.Y.: Short-Term Traffic Flow Prediction Based on Ratio-Median Lengths of Intervals Two-Factors High-Order Fuzzy Time Series. In: IEEE International Conference on Vehicular Electronics and Safety, pp. 287-293 (2007)
    • (2007) IEEE International Conference on Vehicular Electronics and Safety , pp. 287-293
    • Zhao, L.1    Wang, F.Y.2
  • 10
    • 78650249916 scopus 로고    scopus 로고
    • Direct-Inverse Modeling Control Based on Interval Type-2 Fuzzy Neural Network
    • accepted
    • Zhao, L.: Direct-Inverse Modeling Control Based on Interval Type-2 Fuzzy Neural Network. In: 29th Chinese Control Conference (accepted)
    • 29th Chinese Control Conference
    • Zhao, L.1
  • 11


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.