TRAVEL TIME PREDICTION METHOD FROM TOLL COLLECTION SYSTEM DATA BASED ON DETERMINISTIC QUEUEING THEORY

This study proposes a method for predicting near future travel time of each freeway section between adjacent interchanges from toll collection system data. Since the times a vehicle passes ramps are recorded in the toll collection system data, its travel time between on and off ramps is directly observed. Based on the deterministic queueing theory, the hypothetical cumulative trips for each section are constructed from the travel time without traffic counter data. Near future travel time is then predicted by extrapolating the hypothetical curves. The method has been verified by actual data and reasonable travel time has been predicted.

• Supplemental Notes:
  • Full conference proceedings available on CD-ROM.
• Corporate Authors:

  U.S. Census Bureau

  4700 Silver Hill Road
  Washington, DC  United States  20233-0001
• Authors:
  • Ohba, Y
  • UENO, H
  • Kuwahara, M
• Conference:
  • 8th World Congress on Intelligent Transport Systems
  • Location: Sydney, Australia
  • Date: 2001-9-30 to 2001-10-4
• Publication Date: 2001

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: 14p

Subject/Index Terms

• TRT Terms: Data collection; Forecasting; Freeways; Interchanges; Off ramps; On ramps; Queuing theory; Toll collection; Travel time
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 00969396
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 12 2004 12:00AM