Leveraging Probe-Based Data to Enhance Long-Term Planning Models

Long-range transportation planning (LRTP) and travel demand models (TDMs) play an important role in the planning process, which assists transportation agencies with prioritizing future transportation investments. Improved LRTP and TDMs can bring direct benefits to transportation planning in the state. Effective transportation planning and investment decision making depends on timely, comprehensive, and accurate data. However, traditional data collection methods only provide a “snapshot” of the travel information, which limits the performance of conventional LRTP and TDMs. In this regard, while these sources are still used, transportation planners at the state, metropolitan, and local levels are beginning to incorporate third-party traffic data into their planning processes. Planners also start to look at the opportunities afforded through third-party data and provide guidance on how to take advantage of that data to expand and improve planning practices. This project aims to utilize probe-based data to improve the LRTP process and TDMs used by Texas Department of Transportation (TxDOT), metropolitan planning organizations (MPOs) and other planning agencies in the state. The research teams will study how probe-based and location-based data may be leveraged to facilitate the validation and calibration of existing planning models, enhance existing modeling tools, and incorporate advanced modeling techniques.

• Record URL:
  https://library.ctr.utexas.edu/Presto/project=7166

Language

• English

Project

• Status: Active
• Funding: $346904
• Contract Numbers:

  0-7166

• Sponsor Organizations:

  Texas Department of Transportation

  125 E. 11th Street
  Austin, TX  United States  78701-2483
• Managing Organizations:

  Texas Department of Transportation

  125 E. 11th Street
  Austin, TX  United States  78701-2483
• Project Managers:

  Steele, Joanne

• Performing Organizations:

  Texas A&M Transportation Institute

  Texas A&M University System
  3135 TAMU
  College Station, TX  United States  77843-3135

  University of Texas at San Antonio

  One UTSA Circle
  San Antonio, TX  United States  78249
• Principal Investigators:

  Wu, Jason

• Start Date: 20220906
• Expected Completion Date: 20240831
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Location data; Long range planning; Probe vehicles; Traffic data; Travel demand
• Geographic Terms: Texas
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01863365
• Record Type: Research project
• Source Agency: Texas Department of Transportation
• Contract Numbers: 0-7166
• Files: RIP, STATEDOT
• Created Date: Nov 4 2022 10:11AM