메뉴 건너뛰기




Volumn 1, Issue , 2002, Pages 296-300

FL-FN based traffic signal control

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SIGNAL TIMING ABILITY; FUZZY LOGIC CONTROLLER; FUZZY NEURO; TRAFFIC SIGNAL CONTROL;

EID: 0036456219     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (7)
  • 1
    • 0012058003 scopus 로고    scopus 로고
    • Application of fuzzy logic to the control of a pedestrian crossing signal
    • Transportation Research Record No. 1651. Transportation Research Board, Washington, DC
    • Niittymaki, J., Kikuchi, S., Application of fuzzy logic to the control of a pedestrian crossing signal. Transportation Research Record No. 1651. Transportation Research Board, Washington, DC, 30-38, 1998.
    • (1998) , pp. 30-38
    • Niittymaki, J.1    Kikuchi, S.2
  • 2
    • 0017546214 scopus 로고
    • A fuzzy logic controller for a traffic junction
    • C. Pappis, E. Mamdani, A fuzzy logic controller for a traffic junction. IEEE Trans. Systems Man Cybernet, SMC-7 (10):707-717, 1977.
    • (1977) IEEE Trans. Systems Man Cybernet , vol.SMC-7 , Issue.10 , pp. 707-717
    • Pappis, C.1    Mamdani, E.2
  • 6
    • 0003588553 scopus 로고    scopus 로고
    • Perspectives of fuzzy logic in traffic engineering
    • Pub. Dutch Ministry of Transport, Public Works and Water Management, Rotterdam, The Netherlands
    • Hoogendoorn, S. P., Copinga, G.; and Kaymak, Perspectives of Fuzzy Logic in Traffic Engineering. Pub. Dutch Ministry of Transport, Public Works and Water Management, Rotterdam, The Netherlands, 1998.
    • (1998)
    • Hoogendoorn, S.P.1    Copinga, G.2    Kaymak3
  • 7
    • 0001520365 scopus 로고    scopus 로고
    • Analysis of the operator involved in the definition of the implication functions and in the fuzzy inference process
    • I. Rojas, O. Valenleuza, M. Anguita, and A. Prieto. Analysis of the operator involved in the definition of the implication functions and in the fuzzy inference process. International Journal of Approximate Reasoning, 1998, 19:367-389.
    • (1998) International Journal of Approximate Reasoning , vol.19 , pp. 367-389
    • Rojas, I.1    Valenleuza, O.2    Anguita, M.3    Prieto, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.