Abstract
New paradigms emerging in transportation and information and communication technology create opportunities to better understand and leverage the interactions between travelers, vehicles, and the built environment to reduce greenhouse gas emissions and save energy. The U.S. Department of Energy’s SMART (Systems and Modeling for Accelerated Research in Transportation) Mobility Initiative recognizes and harnesses these megatrends by elevating DOE’s traditional transportation energy focus beyond the vehicle component technology level to transportation-as-a-system analysis, modeling and simulation, and applied research and development in 5 interrelated topics: connected and automated vehicles, mobility decision science, urban science, vehicles and infrastructure, and multi-modal.
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Acknowledgments
This chapter benefits from the expertise and input of the following National Laboratory personnel, many of whom comprise DOE’s SMART Mobility Consortium: Kev Adjemian, Idaho National Laboratory; Alexandre Bayen, Lawrence Berkeley National Laboratory; Chris Gearhart, National Energy Renewable Laboratory; Anand Gopal, Lawrence Berkeley National Laboratory; Ron Graves, Oak Ridge National Laboratory; Keith Kahl, Oak Ridge National Laboratory; Eric Rask, Argonne National Laboratory; Aymeric Rousseau, Argonne National Laboratory; Ann Schlenker, Argonne National Laboratory; Alex Schroeder, National Energy Renewable Laboratory; John Smart, Idaho National Laboratory; and Stan Young, National Energy Renewable Laboratory.
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Sarkar, R., Ward, J. (2016). DOE SMART Mobility: Systems and Modeling for Accelerated Research in Transportation. In: Meyer, G., Beiker, S. (eds) Road Vehicle Automation 3. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-40503-2_4
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DOI: https://doi.org/10.1007/978-3-319-40503-2_4
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