Clustering and Classification

Clustering is a fundamental methodology for transportation applications. This is true, in part, because people are trying to learn from and predict the behavior of a system that combines many different types of behaviors (drivers). Much about clustering, including fast rates of convergence, are still quite poorly understood.

• Record URL:
  http://ctr.utexas.edu/research/d-stop/research/projects/
• Supplemental Notes:
  • https://ctr.utexas.edu/wp-content/uploads/145.pdf

Language

• English

Project

• Status: Completed
• Contract Numbers:

  DTRT13-G-UTC58

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Project Managers:

  Bhat, Chandra

• Performing Organizations:

  Data-Supported Transportation Operations and Planning Center

  University of Texas at Austin
  Austin, TX  United States  78701
• Principal Investigators:

  Caramanis, Constantine

• Start Date: 20170401
• Expected Completion Date: 20180901
• Actual Completion Date: 0
• Source Data: 145

Subject/Index Terms

• TRT Terms: Behavior; Classification; Cluster analysis; Data collection; Drivers; Travel behavior
• Subject Areas: Data and Information Technology; Highways; Transportation (General);

Filing Info

• Accession Number: 01634958
• Record Type: Research project
• Source Agency: Data-Supported Transportation Operations and Planning Center
• Contract Numbers: DTRT13-G-UTC58
• Files: UTC, RIP
• Created Date: May 18 2017 9:19PM