EXPLOITING STATISTICAL METHODS FOR OBTAINING TRAFFIC FLOW AND AXLE LOAD DATA

The recent technological developments in axle load and traffic volume data collection systems are discussed. Example outputs are shown from Weigh-In-Motion scales, vehicle classifiers and vehicle monitors. Statistical models are fitted to the daily traffic volumes of 5-axle semitrailer trucks. Subsequently, time series models are fitted to the daily Equivalent Axle Load (i.e., EAL) repetitions and it is shown that overall prediction of EAL repetitions can be based on short-term vehicle volume sampling. (Author)

• Supplemental Notes:
  • Papers presented during the Proceedings of the Roads and Transportation Association of Canada, Annual Conference, September 1985, Vancouver British Columbia. Volumes 1 and 2.
• Corporate Authors:

  Transportation Association of Canada (TAC)

  401-1111 Prince of Wales Drive
  Ottawa, Ontario  Canada 
• Authors:
  • Papagianakis, A T
  • Bergan, A T
• Conference:
  • RTAC Annual Conference Proceedings - 1985
• Publication Date: 1985

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 117-132

Subject/Index Terms

• TRT Terms: Automatic vehicle monitoring; Axle load force; Data collection; Forecasting; Statistical analysis; Time series; Tractor trailer combinations; Traffic flow; Traffic volume; Trailers; Vehicle classification; Weigh in motion
• Subject Areas: Data and Information Technology; Highways; Motor Carriers; Operations and Traffic Management; I71: Traffic Theory;

Filing Info

• Accession Number: 00453619
• Record Type: Publication
• Report/Paper Numbers: Volume 2
• Files: TRIS
• Created Date: Jul 31 1986 12:00AM