INVESTIGATION OF BUS TRANSIT SCHEDULE BEHAVIOR MODELING USING ADVANCED TECHNIQUES

In this dissertation, the author introduces the concept of modeling the schedule behavior of buses on a route using schedule information. Three artificial neural network architectures and five different model structures were applied to develop and test schedule behavior models from existing transit data. In addition, the role of a schedule behavior model within an intelligent transit management system is defined and its potential utility is applied.

• Record URL:
  https://ntlrepository.blob.core.windows.net/lib/21000/21600/21699/PB99134421.pdf
• 
• Supplemental Notes:
  • Publication Date: 1998 UMI Company, Ann Arbor MI Remarks: Thesis (Ph. D.)--University of Virginia, 1998
• Corporate Authors:

  University of Virginia, Charlottesville

  Smart Travel Laboratory
  Charlottesville, VA  United States  22904
• Authors:
  • Kalaputapu, Ravi
• Publication Date: 1998

Language

• English

Media Info

• Pagination: iii, 165 p.

Subject/Index Terms

• TRT Terms: Automatic vehicle location; Buses; Scheduling
• Subject Areas: Public Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 00793380
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Report/Paper Numbers: 98-24228 (UMI Order #)
• Files: PATH, NTL
• Created Date: Jun 13 2000 12:00AM