Degree Name

MS (Master of Science)

Program

Computer and Information Sciences

Date of Award

8-2022

Committee Chair or Co-Chairs

Mohammad S. Khan

Committee Members

Phil Pfeiffer, Christopher Wallace

Abstract

Vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication enable the sharing, in real time, of vehicular locations and speeds with other vehicles, traffic signals, and traffic control centers. This shared information can help traffic to better traverse intersections, road segments, and congested neighborhoods, thereby reducing travel times, increasing driver safety, generating data for traffic planning, and reducing vehicular pollution. This study, which focuses on vehicular pollution, used an analysis of data from NREL, BTS, and the EPA to determine that the widespread use of V2V-based truck platooning—the convoying of trucks in close proximity to one another so as to reduce air drag across the convoy—could eliminate 37.9 million metric tons of CO2 emissions between 2022 and 2026.

Document Type

Thesis - unrestricted

Copyright

Copyright 2022 by Paul D. Brummitt. All Rights Reserved. In reference to IEEE copyrighted material, which is used with permission in this thesis, the IEEE does not endorse any of East Tennessee State University's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink.

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