Predicting the number of vehicles that will use a high occupancy vehicle (HOV) lane and their impacts on air quality requires the ability to predict two inter-related phenomena; how HOV lanes affect travel times and costs on freeways and arterial streets, and how people will react to these time and cost savings. This paper reports on the progress of a 2 year project to develop new methodologies and a software tool for quickly estimating the impacts of HOV facilities on travel demand, traffic congestion, and air quality. This new methodology is designed to bridge the gap between regional planning models and traffic operations models. The software tool to implement this methodology will be designed as a "stand alone" program that will allow users to take advantage of sophisticated regional planning model data when it is available and use "defaults" and approximate procedures when this data is not available. The results of an evaluation of current methodologies and software is reported along with a "needs assessment" identifying the improvements needed in the current state of the art. (A) For the covering abstract see IRRD 873901.

  • Availability:
  • Corporate Authors:

    AA Balkema

    P.O. Box 1675
    Rotterdam,   Netherlands  BR-3000
  • Authors:
    • Dowling, R G
    • Alexiadis, V
    • Billheimer, J
    • May, A D
  • Publication Date: 1995


  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00714369
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • ISBN: 90-5410-556-9
  • Files: ITRD
  • Created Date: Dec 27 1995 12:00AM