NEURAL NETWORKS FOR MINIMIZATION OF TRAVELLING TIME ON FREEWAY SYSTEMS

This paper addresses the problem of clearing congestion situations in freeway traffic. Traffic is controlled by regulating vehicle access to the freeway and by limiting vehicle speed. The problem is stated within a deterministic context, while the optimal control law is sought in feedback form in order to react to unpredictable events. A multilayer feedforward neural map is also used.

• Supplemental Notes:
  • Publication Date: 1995 Published By: Pergamon, Oxford
• Corporate Authors:

  Technische Universitat Munchen. Fachgebiet Verkehrsplanung und Verkehrsplanung

  ,    

  Institut de Recherche des Transports

  Avenue de General Malleret-Joinville, Boite Postale 28
  94 Arcueil,   France 

  UNIVERSITY OF NEWCASTLE UPON TYNE, TRANSPORT OPERATIONS RESEARCH GROUP

  ,    

  Technische Universitat Hamburg-Harburg

  ,   Germany 

  Technische Universiteit Delft

  ,    

  Steierwald Schonharting und Partner

  ,    

  University of California, Irvine

  Institute of Transportation Studies
  4000 Anteater Instruction and Research Building
  Irvine, CA  United States  92697

  University of Southampton. Dept. of Civil and Environmental Engineering

  ,    

  Technische Universitat Munchen. Lehrsthul fur Steuerungs- und Regelungstechnik

  ,    

  Strathclyde (Scotland). Regional Council. Dept. of Roads

  ,    

  Politecnico di Milano. Dipartimento di Sistemi di Trasporto e Movimentazione

  ,    

  Regie autonome des transports parisiens

  ,    

  Tetsudo Sogo Gijutsu Kenkyujo (Japan)

  ,    

  Institut national de recherche en informatique et en automatique (France)

  ,    

  Prometheus (Program)

  ,    

  Universite de technologie de compiegne

  ,    

  University of Alaska, Fairbanks

  Transportation Program
  Fairbanks, AK  United States 

  Chalmers University of Technology, Sweden

  Department of Applied Mechanics/CHARMEC
  Gothenburg,   Sweden 

  Politecnico di Torino. Dipartimento de Elettronica

  ,    

  Chung Yuan ta hsueh

  ,    

  Universita di Genova

  ,   Italy 

  Hsi-an kung lu hsueh yuan. Dept. of Automation

  ,    
• Authors:
  • Di Febbraro, A
• Publication Date: 1995

Language

• English

Media Info

• Pagination: p. 737-742
• Serial:
  • Transportation systems : theory and application of advanced technology. Vol. 2
  • Publisher: Technische Universitat Munchen. Fachgebiet Verkehrsplanung und Verkehrsplanung

Subject/Index Terms

• TRT Terms: Freeway management systems; Neural networks; Travel time
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00786831
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 2000 12:00AM