Uploaded August 2025 | Updated September 2026, 19 hours ago
Improved long-range transportation plans (LRTPs) and travel demand models (TDMs) play an important role in the transportation planning process and can assist with prioritizing future transportation investments. 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, limiting the performance of conventional LRTP and TDMs. Transportation planners at the state, metropolitan, and local levels are beginning to incorporate third-party traffic data into their planning processes. This project utilized probe-based data to improve the LRTP process and TDMs used by TxDOT, metropolitan planning organizations (MPOs), and other planning agencies in the state. Researchers examined 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.
For more information on research project 0-7166, check out the TxDOT Research Library project record here:
https://library.ctr.utexas.edu/Presto/content/Detail.aspx?ctID=M2UxNzg5YmEtYzMyZS00ZjBlLWIyODctYzljMzQ3ZmVmOWFl&rID=MTAxMw==&qrs=RmFsc2U=&q=KHJwLlN0dWR5Tm86KDAtNzE2Nikp&qcf=M2UxNzg5YmEtYzMyZS00ZjBlLWIyODctYzljMzQ3ZmVmOWFl&ph=VHJ1ZQ==&bckToL=VHJ1ZQ==&rrtc=VHJ1ZQ==
For access to all TxDOT research, please visit the TxDOT Research Library at https://ctr.utexas.edu/library/
Improved long-range transportation plans (LRTPs) and travel demand models (TDMs) play an important role in the transportation planning process and can assist with prioritizing future transportation investments. 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, limiting the performance of conventional LRTP and TDMs. Transportation planners at the state, metropolitan, and local levels are beginning to incorporate third-party traffic data into their planning processes. This project utilized probe-based data to improve the LRTP process and TDMs used by TxDOT, metropolitan planning organizations (MPOs), and other planning agencies in the state. Researchers examined 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.
For more information on research project 0-7166, check out the TxDOT Research Library project record here:
https://library.ctr.utexas.edu/Presto/content/Detail.aspx?ctID=M2UxNzg5YmEtYzMyZS00ZjBlLWIyODctYzljMzQ3ZmVmOWFl&rID=MTAxMw==&qrs=RmFsc2U=&q=KHJwLlN0dWR5Tm86KDAtNzE2Nikp&qcf=M2UxNzg5YmEtYzMyZS00ZjBlLWIyODctYzljMzQ3ZmVmOWFl&ph=VHJ1ZQ==&bckToL=VHJ1ZQ==&rrtc=VHJ1ZQ==
For access to all TxDOT research, please visit the TxDOT Research Library at https://ctr.utexas.edu/library/
