MODELING TEMPORAL VARIATIONS IN TRAVEL DEMAND FOR INTELLIGENT TRANSPORTATION SYSTEMS

In this dissertation, the author focuses on developing a methodology for estimating temporal variations in urban travel demand. A methodology is developed for estimating origin destination trip tables for separate segments of a peak study period. Trip attractions during each time period, for each traffic analysis zone, are estimated. The trip tables can then be used to assign trips in near real-time. The model is tested with data collected in the Las Vegas valley in 1995.

• Supplemental Notes:
  • Publication Date: 1998 UMI Company, Ann Arbor MI Remarks: Thesis (Ph. D.)--University of Nevada, Las Vegas
• Corporate Authors:

  University of Nevada, Las Vegas

  Department of Civil and Environmental Engineering
  4505 Maryland Parkway, P.O. Box 454015
  Las Vegas, NV  United States  89154-4015
• Authors:
  • Pulugurtha, Srinivas Subrahmanyam
• Publication Date: 1998

Language

• English

Media Info

• Pagination: xii, 198 p.

Subject/Index Terms

• TRT Terms: Simulation; Traffic congestion; Traffic estimation; Traffic flow
• Subject Areas: Operations and Traffic Management;

Filing Info

• Accession Number: 00788612
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Report/Paper Numbers: 99-00368 (UMI order #)
• Files: PATH
• Created Date: Mar 23 2000 12:00AM