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Volumn 4448 LNCS, Issue , 2007, Pages 688-701

Intelligent traffic control decision support system

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DECISION MAKING; IDENTIFICATION (CONTROL SYSTEMS); INTELLIGENT AGENTS; TELECOMMUNICATION TRAFFIC; TRAFFIC CONGESTION;

EID: 34548092789     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71805-5_75     Document Type: Conference Paper
Times cited : (18)

References (27)
  • 2
    • 0032182558 scopus 로고    scopus 로고
    • A structure of problem-solving methods for real-time decision support in traffic control
    • Molina, M., J. Hern A, and J.E. Cuena, A structure of problem-solving methods for real-time decision support in traffic control. International Journal of Human-Computer Studies, 1998. 49(4): p. 577.
    • (1998) International Journal of Human-Computer Studies , vol.49 , Issue.4 , pp. 577
    • Molina, M.J.1    Hern, A.2    Cuena, J.E.3
  • 3
    • 0034774398 scopus 로고    scopus 로고
    • A fuzzy decision support system for traffic control centers
    • IEEE
    • Hegyi, A., et al., A fuzzy decision support system for traffic control centers. Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE, 2001: p. 358-363.
    • (2001) Intelligent Transportation Systems, 2001. Proceedings , pp. 358-363
    • Hegyi, A.1
  • 4
    • 33747416731 scopus 로고    scopus 로고
    • A multi-agent case-based traffic control scenario evaluation system
    • IEEE
    • De Schutter, B., et al., A multi-agent case-based traffic control scenario evaluation system. Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE, 2003. 1: p. 678-683.
    • (2003) Intelligent Transportation Systems, 2003. Proceedings , vol.1 , pp. 678-683
    • De Schutter, B.1
  • 5
    • 0025175747 scopus 로고
    • A knowledge-based decision support architecture for advanced traffic management
    • Ritchie, S.G., A knowledge-based decision support architecture for advanced traffic management. Transportation Research Part A: General, 1990. 24(1): p. 27.
    • (1990) Transportation Research Part A: General , vol.24 , Issue.1 , pp. 27
    • Ritchie, S.G.1
  • 6
    • 0028264611 scopus 로고
    • Real-Time Decision-Support System for Freeway Management and Control
    • Zhang, H. and S.G. Ritchie, Real-Time Decision-Support System for Freeway Management and Control. Journal of Computing in Civil Engineering, 1994. 8(1): p. 35-51.
    • (1994) Journal of Computing in Civil Engineering , vol.8 , Issue.1 , pp. 35-51
    • Zhang, H.1    Ritchie, S.G.2
  • 8
    • 0035385368 scopus 로고    scopus 로고
    • Analysis of artificial neural network models for freeway ramp metering control
    • Wei, C.H., Analysis of artificial neural network models for freeway ramp metering control. Artificial Intelligence in Engineering, 2001. 15(3): p. 241-252.
    • (2001) Artificial Intelligence in Engineering , vol.15 , Issue.3 , pp. 241-252
    • Wei, C.H.1
  • 16
    • 0033377733 scopus 로고    scopus 로고
    • Neural Fuzzy Modeling of Anaerobic Biological Wastewater Treatment Systems
    • Tay, J.H. and X. Zhang, Neural Fuzzy Modeling of Anaerobic Biological Wastewater Treatment Systems. Journal of Environmental Engineering, 2006. 125(12): p. 1149-1159.
    • (2006) Journal of Environmental Engineering , vol.125 , Issue.12 , pp. 1149-1159
    • Tay, J.H.1    Zhang, X.2
  • 17
    • 34548091589 scopus 로고    scopus 로고
    • Rumelhart, D.E., G.E. Hinton, and R.J. Williams, Learning internal representations by error propagation, Parallel distributed processing: explorations in the microstructure of cognition, 1: foundations. 1986, MIT Press, Cambridge, MA.
    • Rumelhart, D.E., G.E. Hinton, and R.J. Williams, Learning internal representations by error propagation, Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations. 1986, MIT Press, Cambridge, MA.
  • 18
    • 0001836523 scopus 로고
    • Implementing fuzzy logic controllers using a neural network framework
    • Ronald, R.Y., Implementing fuzzy logic controllers using a neural network framework. Fuzzy Sets and Systems, 1992. 48: p. 53-64.
    • (1992) Fuzzy Sets and Systems , vol.48 , pp. 53-64
    • Ronald, R.Y.1
  • 19
    • 38149146977 scopus 로고
    • A neuro-fuzzy adaptive control strategy for refuse incineration plants
    • Krause, B., et al., A neuro-fuzzy adaptive control strategy for refuse incineration plants. Fuzzy Sets and Systems, 1994. 63(3): p. 329-338.
    • (1994) Fuzzy Sets and Systems , vol.63 , Issue.3 , pp. 329-338
    • Krause, B.1
  • 20
    • 0026366218 scopus 로고
    • Neural-Network-Based Fuzzy Logic Control and Decision System
    • Lin, C.T. and C.S.G. Lee, Neural-Network-Based Fuzzy Logic Control and Decision System. IEEE Transactions on Computers, 1991. 40(12): p. 1320-1336.
    • (1991) IEEE Transactions on Computers , vol.40 , Issue.12 , pp. 1320-1336
    • Lin, C.T.1    Lee, C.S.G.2
  • 21
    • 0035196019 scopus 로고    scopus 로고
    • The POP learning algorithms: Reducing work in identifying fuzzy rules
    • Quek, C. and R.W. Zhou, The POP learning algorithms: reducing work in identifying fuzzy rules. Neural Netw, 2001. 14(10): p. 1431-45.
    • (2001) Neural Netw , vol.14 , Issue.10 , pp. 1431-1445
    • Quek, C.1    Zhou, R.W.2
  • 22
    • 0006789801 scopus 로고
    • A New Neuro-Fuzzy Identification Model of Nonlinear Dynamic Systems
    • Lee, M., S.Y. Lee, and C.H. Park, A New Neuro-Fuzzy Identification Model of Nonlinear Dynamic Systems. International Journal of Approximate Reasoning, 1994. 10(1): p. 29-44.
    • (1994) International Journal of Approximate Reasoning , vol.10 , Issue.1 , pp. 29-44
    • Lee, M.1    Lee, S.Y.2    Park, C.H.3
  • 24
    • 0000354454 scopus 로고
    • Neurocontrol and fuzzy logic: Connections and designs
    • Werbos, P.J., Neurocontrol and fuzzy logic: connections and designs. International Journal of Approximate Reasoning, 1992. 6(2): p. 185-219.
    • (1992) International Journal of Approximate Reasoning , vol.6 , Issue.2 , pp. 185-219
    • Werbos, P.J.1
  • 26
    • 0742307300 scopus 로고    scopus 로고
    • An online GA-based output-feedback direct adaptive fuzzy-neural controller for uncertain nonlinear systems
    • Wang, W.Y., C.Y. Cheng, and Y.G. Leu, An online GA-based output-feedback direct adaptive fuzzy-neural controller for uncertain nonlinear systems. Systems, Man and Cybernetics, Part B, IEEE Transactions on, 2004. 34(1): p. 334-345.
    • (2004) Systems, Man and Cybernetics, Part B, IEEE Transactions on , vol.34 , Issue.1 , pp. 334-345
    • Wang, W.Y.1    Cheng, C.Y.2    Leu, Y.G.3
  • 27
    • 34548088150 scopus 로고    scopus 로고
    • Technical University of Crete, Dynamic Systems and Simulation Laboratory, and A. Messmer, METANET - A simulation program for motorway networks. July 2000.
    • Technical University of Crete, Dynamic Systems and Simulation Laboratory, and A. Messmer, METANET - A simulation program for motorway networks. July 2000.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.