APPLYING AN ARTIFICIAL NEURAL NETWORK MODEL TO FREEWAY RAMP METERING CONTROL

This paper proposes an automatic ramp metering control system that detects the current traffic situation and responds with the most suitable control strategy. An artificial neural network model is developed to compute the appropriate metering rates, taking into account several variables and their interactions in time and space dimensions. A self-retraining capability is included in the system to facilitate on-line evaluation and adjustment.

• Supplemental Notes:
  • Publication Date: September 1996
• Corporate Authors:

  Kuo li cheng kung ta hsueh

  ,    
• Authors:
  • Wei, Chien-Hung
  • Wu, Kun-Yu
• Publication Date: 1996

Language

• English

Media Info

• Pagination: p. 335-355
• Serial:
  • Yun shu chi hua = transportation planning journal. Vol. 25, no. 3
  • Publisher: Kuo li cheng kung ta hsueh

Subject/Index Terms

• TRT Terms: Expert systems; Ramp metering
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00787423
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: PATH
• Created Date: Nov 17 2000 12:00AM