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Mid-America Transportation Center

Advanced Decision Modeling for Real Time Variable Tolling – Development and Testing of a Data Collection Platform

Final Report
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Researchers

  • Principal Investigator: Paul Hanley (paul-hanley@uiowa.edu (319) 335-8137)
  • Project Status
    Complete
    About this Project
    Brief Project Description & Background
    This project is a second step in software/hardware development for advancing our ability to forecast future revenue sources in transportation. The data collection platform was developed in 2012 through a grant from the Mid-America Transportation Center, and now it will be field tested to obtain insights for developing, testing, and implementing new behavioral models that explicitly describe how we use imprecise information—in this case, ambiguous information signaled by variable toll lane charges—that are superior to those obtained to date.
    Research Objective
    This investigation extends the state of knowledge on decision modeling under risk and ambiguity by field testing a mobile data collection platform for the capture of naturalistic choice outcomes, associated environmental states, decision makers’ self-articulated perceptions of risk and assessments of ambiguity, and socioeconomic attributes.
    Potential Benefits
    This is a propitious time to explore a new approach to funding our roads. Road tolling is one such alternative “pay-as-you-go” method of funding our roads, which are critical for our nation’s economy. This investigation will provide an analytic tool, a realistic behavioral model of driver choice, for the evaluation of a feasible and sustainable revenue stream.The direct result of this study will be the creation of a fully functioning and tested mobile data collection system of naturalistic decision making. The system’s features will allow for the real-time capturing of positional data, traffic conditions, variable toll costs, and driver perceptions during the time of decision making.
    Abstract
    This investigation extends the state of knowledge on decision modeling under risk and ambiguity by field testing a mobile data collection platform for the capture of naturalistic choice outcomes, associated environmental states, decision makers’ self-articulated perceptions of risk and assessments of ambiguity, and socioeconomic attributes. This project is a second step in software/hardware development for advancing our ability to forecast future revenue sources in transportation. The data collection platform was developed in 2012 through a grant from the Mid-America Transportation Center, and now it will be field tested to obtain insights for developing, testing, and implementing new behavioral models that explicitly describe how we use imprecise information—in this case, ambiguous information signaled by variable toll lane charges—that are superior to those obtained to date.
    Project Amount
    $ $97,621