Show simple item record

Evaluating the Potential Environmental Impacts of Connected and Automated Vehicles

dc.contributor.authorGawron, Jim
dc.contributor.advisorKeoleian, Gregory
dc.date.accessioned2019-04-22T15:14:10Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2019-04-22T15:14:10Z
dc.date.issued2019-04
dc.date.submitted2019-04
dc.identifier.urihttps://hdl.handle.net/2027.42/148652
dc.description.abstractAlthough recent studies of connected and automated vehicles (CAVs) have begun to explore the potential energy and greenhouse gas (GHG) emission impacts from an operational perspective, little is known about how the full life cycle of the vehicle will be impacted. We report the results of a life cycle assessment (LCA) of Level 4 CAV sensing and computing subsystems integrated into internal combustion engine vehicle (ICEV) and battery electric vehicle (BEV) platforms. The results indicate that CAV subsystems could increase vehicle primary energy use and GHG emissions by 3−20% due to increases in power consumption, weight, drag, and data transmission. However, when potential operational effects of CAVs are included (e.g., eco-driving, platooning, and intersection connectivity), the net result is up to a 9% reduction in energy and GHG emissions in the base case. Overall, this study highlights opportunities where CAVs can improve net energy and environmental performance.en_US
dc.language.isoen_USen_US
dc.subjectautonomous vehicleen_US
dc.subjectlife cycle assessmenten_US
dc.subjectgreenhouse gas emissionsen_US
dc.subjectprimary energyen_US
dc.titleEvaluating the Potential Environmental Impacts of Connected and Automated Vehiclesen_US
dc.typeThesisen_US
dc.description.thesisdegreenameMaster of Science (MS)en_US
dc.description.thesisdegreedisciplineSchool for Environment and Sustainabilityen_US
dc.description.thesisdegreegrantorUniversity of Michiganen_US
dc.contributor.committeememberWellington, Timothy
dc.identifier.uniqnamejameshgen_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/148652/1/Gawron_Jim_Thesis.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.