Because many road facilities operate under high-density conditions, it is important to consider more accurate interrelationships among the basic traffic flow variables. Previous papers by May and Keller concerned with the evaluation of traffic flow models have examined the macroscopic relationships derived from the generalized car-following model designed by Gazis, Herman, and Rothery. Their results form the basis for consideration of other data sets that could be subjected to similar evaluation procedures. This paper presents an investigation of single-regime traffic flow models in which 32 sets of speed-concentration measurements were used. Those 32 data are also used to investigate two-regime traffic flow models. Then 13 new sets of data are evaluated based on predictions from the investigations of the single- and two-regime models. Procedures developed by May and Keller are used as a guide to investigate single-regime traffic flow models in an m, "1" matrix format in order to study the variability of those exponents of the sensitivity component that belong to the generalized car-following equation. The deficiencies of the various models are identified, and the need to investigate two-regime models is stressed. Two-regime traffic flow models are investigated in an m, "l" matrix format that is derived from the generalized car-following equation. Both the single- and two-rgime models show consistency in the m, "l" matrix, which makes it possible to predict the results of a new data set. The results of the additional 13 sets of data confirm the predictions. The overall analysis of the 45 data sets emphasizes the most appropriate m, "l" values for the single- and two-regime approaches, particularly those concerned with traffic flow models for freeway lanes.

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 1-15
  • Monograph Title: Traffic flow theory and applications
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00139871
  • Record Type: Publication
  • ISBN: 0309024803
  • Files: TRIS, TRB
  • Created Date: Oct 6 1976 12:00AM