Optimizing traffic counting procedures.
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

For very narrow results

When looking for a specific result

Best used for discovery & interchangable words

Recommended to be used in conjunction with other fields

Dates

to

Document Data
Library
People
Clear All
Clear All

For additional assistance using the Custom Query please check out our Help Page

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.
i

Optimizing traffic counting procedures.

Filetype[PDF-8.01 MB]


Select the Download button to view the document
This document is over 5mb in size and cannot be previewed
English
Details You May Also Like

Details:

  • Creators:
  • Corporate Creators:
    Virginia Highway & Transportation Research Council
  • Subject/TRT Terms:
  • Publication/ Report Number:
    VHTRC 86-R40
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    Virginia
  • Edition:
    Final report.
  • Corporate Publisher:
    Virginia Transportation Research Council (VTRC)
  • Abstract:
    Estimates of annual average daily traffic volumes are important in the planning and operations of state highway departments. These estimates are used in the planning of new construction and improvement of existing facilities, and, in some cases, in the allocation of maintenance funds. It is, therefore, important that any method used in obtaining the estimates provide data of sufficient accuracy for the intended use. This importance of having reliable and current data on traffic volumes at hand is generally recognized, and over the years data collection programs have tended to expand. This expansion has led to huge amounts of money being spent annually for the collection and analysis of traffic data. Efforts are, however, now being made to reduce the annual expenditure on traffic counts while at the same time maintaining the desired level of accuracy. A study was, therefore, carried out by the Council to develop an optimal counting program for the state. Firstly, the study entailed breaking down all highways in the primary system into homogeneous links such that the traffic characteristics along any given link were constant. A total of 2,510 links were obtained. The links in each district were then grouped into clusters, such that the links within a given cluster had similar traffic volume characteristics. The McQueen's K-means Method was used in the grouping procedure. A total of 82 clusters were obtained. A counting procedure was then developed based on an accuracy level of ± 10% with 95% confidence. Counting stations were then randomly selected. The counting program developed requires 927 counting stations for the whole state compared with the 1,345 currently being used.
  • Format:
    PDF
  • Collection(s):
  • Main Document Checksum:
  • Download URL:
  • File Type:

Supporting Files

  • No Additional Files
More +

You May Also Like

Checkout today's featured content at rosap.ntl.bts.gov