Developing tolled-route demand estimation capabilities for Texas : opportunities for enhancement of existing models.
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Developing tolled-route demand estimation capabilities for Texas : opportunities for enhancement of existing models.

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    • Abstract:
      The travel demand models developed and applied by the Transportation Planning and Programming Division

      (TPP) of the Texas Department of Transportation (TxDOT) are daily three-step models (i.e., trip generation, trip

      distribution, and traffic assignment sequentially invoked). Currently, TxDOT TPP does not have a procedure to

      account for existing or planned toll roads in the urban travel demand models. TxDOT TPP has been operating under

      guidance established when toll roads existed as planned facility improvements in either the interim or forecast year

      model applications. Although the larger urban areas in Texas have embraced tolled facilities for quite some time (i.e.,

      Dallas-Fort Worth, Houston, and Austin), roads that charge users a fee to bypass congestion or provide alternative

      routes have only been implemented recently in a select few small to medium-sized urban areas still under the purview

      of TxDOT TPP model development. In order to calibrate base year travel models with operational toll roads or models

      with planned tolled facilities, TxDOT TPP needs a procedure to account for facilities that charge fees to the user. For

      the tolled facilities currently operational in small to medium-sized study areas, the fees are fixed and are not dynamic

      by time of day or congestion levels.

      The technical objective of this research report is to provide TxDOT TPP with a menu of potential procedures

      that could be selected for implementation in the current Texas Package suite of travel demand models to reasonably

      estimate toll road demand, primarily for the small to medium-sized urban areas. Nationally, generally two approaches

      are used: a path-based system and a choice-based system. Researchers reviewed both approaches as well as different

      supplemental techniques (i.e., time of day, market segmentation, and mode choice) implemented nationally and within

      the state that are complementary to any toll demand estimation techniques. Challenges and considerations for each of

      the approaches are reviewed and presented. The procedures and applications reviewed in this project are not intended

      to replace or compete with existing toll-financing-level analysis.

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