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https://www.nationalacademies.org/trb/events

Evaluate Speed Estimation Techniques for EPA Moves Model Input Using Big Data and Travel Demand Models for Regional Conformity Analysis

Michigan Department of Transportation's (MDOT’s) Statewide and Urban Travel Analysis (SUTA) Section is required to run the Environmental Protection Agency’s (EPA) MOtor Vehicle Emission Simulator (MOVES) Model for regional transportation conformity analysis, and for other purposes. One crucial input to the MOVES model is an average speed distribution configured into sixteen-speed bin classifications, categorized by MOVES road type and source type, hour of the day, and for base and future analysis years. SUTA’s current methodology incorporates average speeds from their statewide and urban [regional] travel demand models (traditional four-step trip-based models administered in the Caliper TransCAD Platform). There exists a gap between the travel demand model outputs (average speed) and the required inputs (sixteen speed bin distribution) to the MOVES Model. SUTA staff are proposing a research project to identify how archived real time speed data available to MDOT (currently INRIX speed data available through the CATT Lab’s RITIS Platform) can be used to fill this gap between travel demand and air quality models, as well as forecast speed distributions using the results from the travel demand model(s). The results are to be organized into a useable format to generate a reliable average speed distribution that can be used as input into the EPA MOVES Model.