SHORT COUNT ANNUAL AVERAGE DAILY TRAFFIC ESTIMATION

This paper derived from an investigation, the aim of which was to develop a system of counting on South Australian roads, and of processing this data, which would permit an increase in the number of locations at which aadt estimates could be taken, as well as increasing the accuracy of these estimates without increasing the man hours of work required. Based on a method derived by Harmelink (1968) this paper fits various models to full year count data in an attempt to follow this data with a 'smooth' curve. Several 'short term' sample counting options are then tested to determine what accuracy they will give in estimating aadt. The work was carried out by simulating traffic situations from existing full year count data and comparing estimated aadts with the known true value. /Author/TRRL/

• Record URL:
  http://arrbknowledge.com
• Supplemental Notes:
  • Proceedings of the 8th Conference.
• Corporate Authors:

  ARRB

  Melbourne, Victoria  Australia 
• Authors:
  • Michael, R
• Conference:
  • Australian Road Research Board Conference Proc
• Publication Date: 1976

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 9-14
• Serial:
  • Volume: 8

Subject/Index Terms

• TRT Terms: Average daily traffic; Computer programs; Conferences; Estimates; Mathematical models; Simulation; Statistics; Traffic counting; Traffic counting stations; Traffic counts
• Geographic Terms: Australia
• ITRD Terms: 8006: Australia; 8525: Conference; 6473: Mathematical model; 9103: Simulation; 8645: Software; 6555: Statistics; 689: Traffic count
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I71: Traffic Theory;

Filing Info

• Accession Number: 00164126
• Record Type: Publication
• Source Agency: Transport and Road Research Laboratory (TRRL)
• Files: ITRD, TRIS, ATRI
• Created Date: Jan 13 1978 12:00AM