STUDY ON TRAFFIC DEMAND PREDICTION METHODS FOR INTELLIGENT TRAFFIC SIGNAL CONTROL

This paper discusses a study conducted on traffic demand prediction methods for intelligent traffic signal control. In this study, the authors verified the effectiveness of applying traffic demand prediction to signal control presently in effect in Japan for the implementation of proper signal control without delay to a change in traffic demand. In addition, the paper evaluates several kinds of traffic demand prediction methods applicable to the existing signal control methods in Japan and confirmed the practicability of these prediction methods. For the covering abstract, see IRRD 490001.

• Corporate Authors:

  ERTICO

  326 Avenue Louis
  Brussels,   Belgium  B-1050

  ITS America

  1100 17th Street, NW, 12th Floor
  Washington, DC  United States  20036

  VERTIS

  TORANOMOM 34 MORI BUILDING 1-25-5
  TORANOMON, MINATOKU, TOKYO 105  Japan 
• Authors:
  • Saito, T
  • Yasui, K
  • UKYO, T
  • NAKANO, J-I
• Conference:
  • MOBILITY FOR EVERYONE. 4TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS, 21-24 OCTOBER 1997, BERLIN. (PAPER NO. 3048)
• Publication Date: 1997

Language

• English

Media Info

• Features: References;
• Pagination: 7 p.

Subject/Index Terms

• TRT Terms: Conferences; Demand; Forecasting; Intelligent transportation systems; Traffic signals
• Geographic Terms: Japan
• ITRD Terms: 8531: Case study; 8525: Conference; 285: Demand (econ); 132: Forecast; 8053: Japan; 565: Traffic signal
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00757212
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD
• Created Date: Dec 17 1998 12:00AM