NC truck network model development research.

Details

• Alternative Title:
  North Carolina truck network model development research
• Creators:
  Stone, John R. ; Mei, Bing ; Demers, Alixandra ; Paladugu, Bharath
• Corporate Creators:
  North Carolina State University. Department of Civil, Construction, and Environmental Engineering ; UNC Institute for Transportation Research and Education. Triangle Regional Model Service Bureau
• Subject/TRT Terms:
  • Transportation planning
  • Network analysis (Planning)
  • Trucking
  • Highway transportation
  • Transportation--North Carolina--Planning
  • Trucks--Routes--North Carolina
  • Highway planning--North Carolina
• Publication/ Report Number:
  NCDOT 2006-09
• Resource Type:
  Tech Report
• Geographical Coverage:
  North Carolina
• Edition:
  Final report; July 1, 2005-June 30, 2008.
• Corporate Publisher:
  North Carolina. Transportation Planning Division
• Abstract:
  This research develops a validated prototype truck traffic network model for North Carolina. The model ; includes all counties and metropolitan areas of North Carolina and major economic areas throughout the ; U.S. Geographic boundaries, population and employment define the study areas. The network is based on ; the National Highway Planning Network and it includes Interstates, US Highways, and secondary roads. ; The North Carolina network attributes include highway type, speed, and terrain. The base year long haul ; truck data is based on FHWA Freight Analysis Forecasting origin-destination data for North Carolina ; including origins and destinations outside North Carolina. Short haul traffic and back haul truck traffic are ; generated using simplified trip generations rates and adjustments to the FAF data. Base year 2006 truck ; traffic estimates for North Carolina are validated by over 450 truck traffic counts throughout the state. ; Only ADTT (average daily truck traffic) is estimated by the network model, not total vehicle traffic ; including automobiles. Since the model does not include automobile trips and truck-only traffic is usually ; far below roadway capacity, the current network model is not built with a capacity-constrained traffic ; assignment feature. The network is sensitive to input speed but not to traffic volumes on the highway. ; Consequently any network changes for scenario testing have to be expressed in terms of speed changes to ; the network links affected.
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/17182/dot_17182_DS1.pdf
• File Type:
  [PDF - 1.07 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:2b60a0d58b1e28b642fb4411f200859f47f89fea65bfc73d71ad0010241b33a2