Evaluating the Environmental Impact of Electric Autonomous Vehicles through an Analysis of Travel Patterns
Natalie Kelly, Adeline Hauck, Cassandra Starr
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The introduction of autonomous vehicles (AVs) will affect driver transportation patterns and Vehicle Miles Traveled (VMT). An anticipated rise in AV travel demand, thereby increasing VMT, will reduce vehicle lifetime and increase energy consumption and greenhouse gas (GHG) emissions. Given the potential for AV usage in the future and its undetermined environmental effects, this research aims to identify adoption and use factors contributing to society level VMT and the resulting implications for a life cycle assessment (LCA) of autonomous vehicles. Previous environmental assessments have not considered changes in travel patterns or effects of human behavior in analyzing the environmental impact of AV introduction. This research relies on (1) an initial survey gathering participants’ current travel behavior and willingness to adopt AVs, followed by (2) the utilization of a traffic simulation (VISSIM) to determine travel patterns for various locations in Michigan and AV repercussions. These outcomes will inform (3) a LCA of the use-stage of AVs to determine the net environmental impact in terms of GHG emissions and energy consumption. Analysis will be applied to Michigan residents and simulate mid-sized (SUV) fully electric AVs. Results will contribute to further understanding the behavioral implications of AVs and their related environmental impacts.
Annick Anctil, Sharlissa Moore, and Mehrnaz Ghamami
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