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      KCI등재 SCIE SCOPUS

      Urban Arterial Traffic Two-direction Green Wave Intelligent Coordination Control Technique and Its Application

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      https://www.riss.kr/link?id=A104901897

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      다국어 초록 (Multilingual Abstract)

      This paper presents a new two-direction green wave intelligent control strategy to solve the coordina-tion control problem of urban arterial traffic. The whole control structure includes two layers - the coordination layer and the control layer. Publi...

      This paper presents a new two-direction green wave intelligent control strategy to solve the coordina-tion control problem of urban arterial traffic. The whole control structure includes two layers - the coordination layer and the control layer. Public cycle time, splits, inbound offset and outbound offset are calculated in the coordination layer. Public cycle time is adjusted by fuzzy neural networks (FNN) according to the traffic flow saturation degree of the key intersection. Splits are calculated based on historical and real-time traffic information. Offsets are calculated by the real-time average speeds. The control layer determines phase composition and adjusts splits at the end of each cycle. The target of this control strategy is to maximize the possibility for vehicles in each direction along the arterial road to pass the local intersection without stop while the utility efficiency of the green signal time is at relatively high level. The actual application results show the proposed method can decrease the average travel time and average number of stops, and increase the average travel speed for vehicles on the arterial road effectively.

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      참고문헌 (Reference)

      1 T. Nagatani, "Vehicular traffic through a sequence of green-wave lights" 380 : 503-511, 2007

      2 H. Yin, "Urban traffic flow prediction using a fuzzy-neural approach" 10 (10): 85-98, 2002

      3 A. J. Al-Khalili, "Urban traffic control - a general approach" SMC-15 : 260-271, 1985

      4 W. Q. Li, "Urban Road Traffic Management Plan of Shaoxing City" Dongnan University 2007

      5 B. A. Toledo, "Universal and nonuniversal features in a model of city traffic" 75 (75): 026108-, 2007

      6 F. V. Webster, "Traffic signals" Road research Laboratory 1966

      7 Y. W. Kim, "Traffic network control based on hybrid dynamical system modeling and mixed integer nonlinear programming with convexity analysis" 38 (38): 346-357, 2008

      8 J. D. C. Little, "The synchronization of traffic signals by mixed integer-linear-programming" 14 : 568-594, 1966

      9 G. J. Shen, "Study on Urban Road Traffic Modeling and Control Technique, Postdoctoral research work report" Zhejiang University 2006

      10 S. Chiu, "Self-organizing traffic control via fuzzy logic" 1897-1902, 1993

      1 T. Nagatani, "Vehicular traffic through a sequence of green-wave lights" 380 : 503-511, 2007

      2 H. Yin, "Urban traffic flow prediction using a fuzzy-neural approach" 10 (10): 85-98, 2002

      3 A. J. Al-Khalili, "Urban traffic control - a general approach" SMC-15 : 260-271, 1985

      4 W. Q. Li, "Urban Road Traffic Management Plan of Shaoxing City" Dongnan University 2007

      5 B. A. Toledo, "Universal and nonuniversal features in a model of city traffic" 75 (75): 026108-, 2007

      6 F. V. Webster, "Traffic signals" Road research Laboratory 1966

      7 Y. W. Kim, "Traffic network control based on hybrid dynamical system modeling and mixed integer nonlinear programming with convexity analysis" 38 (38): 346-357, 2008

      8 J. D. C. Little, "The synchronization of traffic signals by mixed integer-linear-programming" 14 : 568-594, 1966

      9 G. J. Shen, "Study on Urban Road Traffic Modeling and Control Technique, Postdoctoral research work report" Zhejiang University 2006

      10 S. Chiu, "Self-organizing traffic control via fuzzy logic" 1897-1902, 1993

      11 S. Lammer, "Self-control of traffic lights and vehicle flows in urban road networks" (4) : P04019-, 2008

      12 N. A. Chaudhary, "Proposed enhancements to MAXBAND-86 program" U.S. Dept. Transp 1991

      13 D. Robertson, "Optimizing networks of traffic signals in real time - the SCOOT method" 40 (40): 11-15, 1995

      14 D. Srinivasan, "Neural networks for real-time traffic signal control" 7 (7): 261-271, 2006

      15 I. Kosonet, "Multi-agent fuzzy signal control based on real-time simulation" 11 (11): 389-403, 2003

      16 C. Stamatiadis, "MULTIBAND-96: A program for variable bandwidth progression optimization of multiarterial traffic networks" U.S. Dept. Transp. 1996

      17 J. D. C. Little, "MAXBAND: A program for Setting Signals on arteries and triangular networks" U.S. Dept. Transp. 1981

      18 Z. Y. Liu, "Intelligent Traffic Control Theory and Application" Science Press 2003

      19 Z. Y. Liu, "Hierarchical fuzzy neural network control for large scale urban traffic systems" 26 (26): 441-448, 1997

      20 P. J. Gundaliya, "Heterogeneous traffic flow modelling for an arterial using grid based approach" 42 (42): 467-491, 2008

      21 C. Lee, "Fuzzy logic in control systems: Fuzzy logic controller, part I and II" 20 (20): 404-435, 1990

      22 H. K. Lo, "Dynamic network traffic control" 35 : 721-744, 2001

      23 이광형, "Distributed and cooperative fuzzy controllers for traffic intersections group" 29 (29): 263-271, 199905

      24 M. C. Choy, "Cooperarive, hybrid agent architecture for real-time traffic control" 33 (33): 597-607, 2003

      25 N. H. Gartner, "Arterial-based control of traffic flow in urban grid networks" 35 (35): 657-671, 2002

      26 L. L. Zang, "An intelligent control method for urban traffic signal based on fuzzy neural network" 3430-3434, 2006

      27 N. H. Gartner, "A multi-band approach to arterial traffic signal optimization" 25 : 55-74, 1991

      28 C. P. Pappis, "A fuzzy logic controller for a traffic junction" 7 (7): 707-717, 1977

      29 X. J. Cheng, "A distributed traffic signal control approach and simulation" 17 (17): 1970-1973, 2005

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-12-29 학회명변경 한글명 : 제어ㆍ로봇ㆍ시스템학회 -> 제어·로봇·시스템학회 KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-10-29 학회명변경 한글명 : 제어ㆍ자동화ㆍ시스템공학회 -> 제어ㆍ로봇ㆍ시스템학회
      영문명 : The Institute Of Control, Automation, And Systems Engineers, Korea -> Institute of Control, Robotics and Systems
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      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.35 0.6 1.07
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.88 0.73 0.388 0.04
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