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Volumn , Issue , 2011, Pages 283-288

Pattern recognition method for simplified coordinated traffic signal control

Author keywords

[No Author keywords available]

Indexed keywords

ARTERIAL STREET; FEED-FORWARD ARTIFICIAL NEURAL NETWORKS; FIXED TIME; MEGACITIES; PATTERN RECOGNITION METHOD; REAL-TIME SOFTWARE; REAL-WORLD IMPLEMENTATION; SIMULATION TECHNIQUE; TIMING PLANS; TRAFFIC CONDITIONS; TRAFFIC DEMANDS; TRAFFIC FLOW SIMULATION; TRAFFIC SIGNAL CONTROL; TRAFFIC SIGNAL CONTROL SYSTEM; TRAFFIC STATE;

EID: 80052393173     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FISTS.2011.5973628     Document Type: Conference Paper
Times cited : (4)

References (21)
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  • 2
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  • 3
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    • 0033283565 scopus 로고    scopus 로고
    • Evaluation of system-wide traffic signal control using stochastic optimization and neural networks
    • San Diago
    • Chin, D.C, Spall, J,C., Smith, R,H., "Evaluation of System-Wide Traffic Signal Control Using Stochastic Optimization and Neural Networks", Proceedings of the American Control Conference, San Diago, 1999, p.2188-2194
    • (1999) Proceedings of the American Control Conference , pp. 2188-2194
    • Chin, D.C.1    Spall, J.C.2    Smith, R.H.3
  • 12
    • 77957295654 scopus 로고    scopus 로고
    • Berkshire TRL Software
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    • Artificial neural networks: A tutorial
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  • 18
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  • 19
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    • Bounds on the number of hidden neurons in multilayer perceptrons
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  • 20
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.