Some Empirical Relations Between Travel Speed, Traffic Volume and Traffic Composition in Urban Arterials

This paper examines the relationship between travel speed, traffic volume, and traffic composition in urban signalized arterials. Using a methodology that is based on Bayesian learning and emerging self-organizing structures of neural networks, the study identifies eight specific regions of traffic behavior in the speed-volume relationship on arterials under mixed traffic. In addition, the effect of traffic composition in each of the regions is also separately evaluated, and it is shown that the effect of traffic composition decreases with the onset of congestion. Finally, the study finds that taxis and motorcycles and the primary affecting parameter of the form of the speed-volume relationship in urban arterials.

Language

  • English

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 110-119
  • Serial:
    • IATSS Research
    • Volume: 31
    • Issue Number: 1
    • Publisher: International Association of Traffic and Safety Sciences
    • ISSN: 0386-1112

Subject/Index Terms

Filing Info

  • Accession Number: 01054535
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: BTRIS, TRIS, ATRI
  • Created Date: Jul 16 2007 2:56PM