EXPLOITING STATISTICAL METHODS FOR OBTAINING TRAFFIC FLOW AND AXLE LOAD DATA

Most highway agencies in North America use traffic volume and vehicle weight data as an essential input for their pavement management systems. This paper discusses the recent technological developments in axle load and traffic volume data collection systems. 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 (eal) repetitions and it is shown that overall prediction of eal repetitions can be based on short-term vehicle volume sampling. (TRRL)

• Supplemental Notes:
  • This paper appeared in RTAC 1985 Annual Conference Proceedings, Volume 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:
  • This paper appeared in RTAC 1985 Annual Conference Proceedings, Volume 2.
• Publication Date: 1985

Media Info

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

Subject/Index Terms

• TRT Terms: Axle load force; Conferences; Data collection; Gross vehicle weight; Mathematical models; Statistical analysis; Time series analysis; Traffic flow; Traffic surveillance; Traffic volume; Weigh in motion
• ITRD Terms: 3067: Axle load; 8525: Conference; 8623: Data acquisition; 9019: Equivalent; 132: Forecast; 6473: Mathematical model; 9102: Method; 6555: Statistics; 9101: Surveillance; 671: Traffic flow; 1255: Vehicle; 6195: Weighing apparatus
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 00478409
• Record Type: Publication
• Source Agency: Transportation Association of Canada (TAC)
• Files: ITRD, TRIS
• Created Date: Jan 31 1989 12:00AM