Data reconciliation based traffic count analysis system

Details

• Creators:
  Zhao, M. ; Garrick, N. W. ; Achenie, L. E. K.
• Corporate Creators:
  University of Connecticut. Department of Civil and Environmental Engineering
• Subject/TRT Terms:
  • Data collection
  • Automatic data collection systems
  • Traffic counts
  • Traffic flow rate
  • Traffic volume
  • Annual average daily traffic
  • Freeways
  • Highway planning
  • Statistical analysis
  • Traffic counts
  More +
• Publication/ Report Number:
  JHR 97-260 ; Project 95-2
• Resource Type:
  Research Paper
• Geographical Coverage:
  United States
• Edition:
  Final report
• Corporate Publisher:
  Connecticut. Dept. of Transportation
• Abstract:
  Traffic volume data, especially Average Annual Daily Traffic (AADT) volumes, are very important in transportation engineering for managing and maintaining existing facilities, and for planning and designing new facilities. This paper addresses the traffic count analysis developed to produce AADT's for freeway links based on traffic ount data. For freeways, traffic counts are usually taken at certain links, and then they are processed to obtain AADT's. Thi processing is very time-consuming and labor-intensive when performed manually. The objective of developing the TCAS is to reduce the time and labor required in the processing of traffic counts to obtain AADTs. The TCAS was developed based on data coaptation and data reconciliation techniques which are frequently used in the processing of network flow rate data. The TCAS can be used to calculate AADTs for counted links, to generate AADTs for uncounted links, and to adjust these AADTs to satisfy material balance. It is expected to sginificantly reduce the time and labor required for processing traffic volume data for freeways.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/5256/dot_5256_DS1.pdf
• File Type:
  [PDF - 1.74 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:e29694c925519ac08202fe5097bdf9e437c5d252068249ea0915ea067553d375ba18bf5ebb500946f4912d27a3b10bd09b2a239e90638369e1f65b83322b4ce6