PRACTICAL EVALUATION OF TRAFFIC CONGESTION ON THE BASIS OF DRIVERS' PERCEPTION BY USING A VIDEO EXPERIMENT

Providing congestion information for route guidance has many advantages for users because it cannot only decrease drivers' irritation, but can also work to their advantage when they choose their shortest routes on a highway or freeway network. For such situations it is very important to define the concept of traffic congestion on the basis of drivers' perception. This paper analyzes a new definition of congestion dissipation. It also analyzes a judgment method for freeway's congested sections on the basis of the definitions of congestion and its dissipation using fuzzy inference in order to apply the definitions to the actual vehicle detectors' data on a freeway. After analyzing the relationships between the congested speed and its duration time in a category of data classified by minimum speed at which drivers perceived the dissipation of congestion, the authors could define congestion dissipation on the basis of drivers' perception. The appropriateness of the congestion judgment model using fuzzy inference was verified by comparing with the drivers' perception on the basis of experiments under the real driving situation reproduced on video.

Language

  • English

Media Info

  • Pagination: n.p.

Subject/Index Terms

Filing Info

  • Accession Number: 00741344
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Aug 9 1997 12:00AM