At the U.S. Department of Energy-funded National Renewable Energy Laboratory, researchers have developed a modeling and simulation toolkit to help researchers and city planners determine the extent of specific advantages and disadvantages of urban transportation systems.
The Automated Mobility District (AMD) toolkit delivers a mathematical model of emerging mobility in select urban districts, a digital twin that permits an analysis of how those systems impact mobility and energy.
The toolkit initially was used to quantify the impact of low-speed shared automated vehicles (SAVs) in geofenced districts at Clemson University's International Center for Automotive Research in Greenville, SC.
AMD analysis determined that adding electrified SAVs to provide shared mobility services would boost fuel savings from 11% to 38% by satisfying regional travel demand.
From National Renewable Energy Laboratory
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Abstracts Copyright © 2020 SmithBucklin, Washington, DC, USA
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