Traffic Control Measure Impacts on Mode Choice, Energy Use, and Emissions using an Activity Based Modeling Framework and MOVES

Transportation control measures (TCMs) is a general term for a wide variety of strategies designed to improve transportation system efficiency to reduce congestion, energy use, and emissions. A background research effort between 2005 and 2017 reviewed more than 160 potential TCMs for the Metropolitan Atlanta region and divided the strategies into five categories: new vehicle standards, fleet turnover incentives, in-use vehicle controls, demand management, and transportation supply improvement measures. This research will further analyze five promising TCM’s from this framework: Parking pricing in the morning peak period, Doubling transit frequency doubling, Cent/mile congestion pricing, Implementing an increase in the gasoline tax, and Opting-in to California’s low emission vehicle (LEV) program.

The Atlanta Regional Commission’s (ARC) activity-based model (ABM) is used to forecast weekday regional travel at the household level. This research will use ARC’s ABM to analyze changes in travel patterns for the five primary strategies across 16 different demographic groups, along with energy use and emissions. It is expected to see the target group’s mode change, energy consumption decrease, and emission decrease when these control measures are implemented. Results from the modeling work will be summarized, changes to the theoretical models employed in ABM15 will be proposed, new model results will be evaluated, and the impacts on energy use and emissions will be reassessed.


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