Commercial Remote Sensing and Spatial Information (CRS&SI) Technologies for Reliable Transportation Systems Planning

The goal of the proposed research project is to develop and validate spatial information (SI) technologies in order to plan more reliable transportation systems. The key objectives are to: (1) research and recommend the best SI technology or the best combination of technologies to capture travel time; (2) develop a space-based framework for travel time data capture, storage, retrieval, analysis and reporting; (3) research and integrate both recurring and non-recurring "incidents related" congestion components to measure link-level reliability by time of day for transportation planning; (4) process bus travel time data for better transit planning; (5) develop interactive tools with analytical/visual capabilities to assess and report condition of the network as well as facilitate stakeholder's need in identifying, prioritizing and planning transportation projects; and (6) develop a comprehensive project outreach program and effectively inform and disseminate tools/products and outcomes to relevant transportation user-communities. The proposed methodology involves data gathering/collecting, development of tools and query applications for data processing and fusion, and decision support system (DSS) tools to calibrate regional transportation planning models, assess and report link-level reliability, rank and identify congested corridors for project selection, and for incident management and re-routing traffic.

Language

• English

Project

• Status: Active
• Funding: $399862.00
• Contract Numbers:

  RITARS-12-H-UNCC

• Sponsor Organizations:

  Department of Transportation

  Office of the Assistant Secretary for Research and Technology
  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Project Managers:

  Singh, Caesar

• Performing Organizations:

  University of North Carolina, Charlotte

  Department of Civil and Environmental Engineering
  9201 University City Boulevard
  Charlotte, NC  United States  28223-0001
• Principal Investigators:

  Pulugurtha, Srinivas

• Start Date: 20120914
• Expected Completion Date: 0
• Actual Completion Date: 20150228
• Source Data: RiP Project 32839

Subject/Index Terms

• TRT Terms: Bus transit; Data collection; Decision support systems; Incident management; Traffic congestion; Transportation planning; Travel time
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01543765
• Record Type: Research project
• Source Agency: Department of Transportation
• Contract Numbers: RITARS-12-H-UNCC
• Files: RiP
• Created Date: Nov 21 2014 1:04AM