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Volumn 2, Issue , 2008, Pages 104-108

Research of traffic flow forecasting based on neural network

Author keywords

[No Author keywords available]

Indexed keywords

DYNAMIC TRAFFIC FLOWS; EFFECTIVE MEASURES; FORECASTING MODELS; INTELLIGENT TRANSPORTATION SYSTEMS; KEY TECHNOLOGIES; RBF NEURAL NETWORKS; SIMULATION ANALYSIS; TRAFFIC FLOW FORECASTING; TRAFFIC FLOWS; TRAFFIC JAMS;

EID: 62949127278     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IITA.2008.207     Document Type: Conference Paper
Times cited : (27)

References (7)
  • 1
    • 62949099101 scopus 로고    scopus 로고
    • Tan Ming-gui, Cui Zhong-fa. Control and Management System of Urban Traffic [J], Computer Application and Software, 2005,01(26):30-34.
    • Tan Ming-gui, Cui Zhong-fa. Control and Management System of Urban Traffic [J], Computer Application and Software, 2005,01(26):30-34.
  • 3
    • 62949110936 scopus 로고    scopus 로고
    • Xu Qi-hua, Ding Zhan-kui, Bi Xun-yin. A Real-time Traffic Flow Forecasting Method Based on Dynamic Recursion Neural Network [J], Journal of Huai Hai Engineering College,2003,12 (4):14-17
    • Xu Qi-hua, Ding Zhan-kui, Bi Xun-yin. A Real-time Traffic Flow Forecasting Method Based on Dynamic Recursion Neural Network [J], Journal of Huai Hai Engineering College,2003,12 (4):14-17
  • 6
    • 0035451785 scopus 로고    scopus 로고
    • Adaptive routing algorithm for in-vehicle route guidance systems with real-time information[J]
    • L.Fu. An Adaptive routing algorithm for in-vehicle route guidance systems with real-time information[J]. Transportation research part B, 2001,(35):749-765.
    • (2001) Transportation research part B , vol.35 , pp. 749-765
    • An, L.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.