t-HUB: Connecticut Public Transport Data Hub

Accurate prediction of traffic congestion is essential for efficient highway operations and planning studies. Prevalent data collection and monitoring relies on human operators or fixed sensors, and hence, cannot systematically acquire dynamic information about vehicle behaviors such as acceleration, deceleration, and steering necessary for detailed modeling and analysis. We propose to investigate the use of smart phone technology to facilitate dynamic data collection. The smart phone application will be initially tested on the transportation network surrounding the University of Connecticut (UConn) in Storrs. To demonstrate the potential for technology transfer to highway monitoring, the portion of Interstate 84 running through Hartford will then be targeted for data collection. The smart phone application will securely transmit trip data over the Internet to servers hosted at UConn for statistical analysis and model development. The proposed models will be validated against real data feeds provided by our collaborators at Connecticut Department of Transportation (ConnDOT). This research will enable real-time data fusion for efficient operation of transportation networks, a major focus of the t-HUB living laboratory at UConn. The smartphone application will be made available to t-HUB partners to promote a deeper understanding of regional demand, which will enhance regional transportation monitoring and planning efforts.

Language

• English

Project

• Status: Completed
• Funding: $119110.00
• Contract Numbers:

  DTRT12-G-UTC01

  UCNR24-32

• Sponsor Organizations:

  Research and Innovative Technology Administration

  University Transportation Centers Program
  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Start Date: 20120101
• Expected Completion Date: 0
• Actual Completion Date: 20160131
• Source Data: RiP Project 35269

Subject/Index Terms

• TRT Terms: Data collection; Highway operations; Real time information; Smartphones; Traffic congestion; Traffic surveillance
• Geographic Terms: Hartford (Connecticut)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01492604
• Record Type: Research project
• Source Agency: New England University Transportation Center
• Contract Numbers: DTRT12-G-UTC01, UCNR24-32
• Files: UTC, RIP
• Created Date: Sep 11 2013 1:00AM