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Routing and Scheduling of Electric and Alternative-Fuel Vehicles

Abstract Vehicles powered by electricity and alternative-fuels are becoming a more popular form of transportation since they have less of an environmental impact than standard gasoline vehicles. Unfortunately, their success is currently inhibited by the sparseness of locations where the vehicles can refuel as well as the fact that many of the vehicles have a range that is less than those powered by gasoline. These factors together create a "range anxiety" in drivers, which causes the drivers to worry about the utility of alternative-fuel and electric vehicles and makes them less likely to purchase these vehicles. For the new vehicle technologies to thrive it is critical that range anxiety is minimized and performance is increased as much a... (more)
Created Date 2014
Contributor Adler, Jonathan David (Author) / Mirchandani, Pitu B (Advisor) / Askin, Ronald (Committee member) / Gel, Esma (Committee member) / Xue, Guoliang (Committee member) / Zhang, Muhong (Committee member) / Arizona State University (Publisher)
Subject Operations research / Industrial engineering / Alternative-fuels / Approximate dynamic programming / Column generation / Constrained shortest path / Electric vehicles / Stochastic shortest path
Type Doctoral Dissertation
Extent 181 pages
Language English
Reuse Permissions All Rights Reserved
Note Ph.D. Industrial Engineering 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis