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Open AccessArticle

Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities

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Administrative Sciences Department, Metropolitan College, Boston University, Boston, MA 02215, USA
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INARBE Institute, Public University of Navarre, 31006 Pamplona, Spain
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Institute of Smart Cities, Public University of Navarre, 31006 Pamplona, Spain
4
Internet Interdisciplinary Institute (IN3), Department of Computer Science, Universitat Oberta de Catalunya & Euncet Business School, 08018 Barcelona, Spain
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Author to whom correspondence should be addressed.
Energies 2020, 13(5), 1115; https://doi.org/10.3390/en13051115
Received: 4 December 2019 / Revised: 8 February 2020 / Accepted: 26 February 2020 / Published: 2 March 2020
(This article belongs to the Special Issue Energy Saving in Public Transport)
From airplanes to electric vehicles and trains, modern transportation systems require large quantities of energy. These vast amounts of energy have to be produced somewhere—ideally by using sustainable sources—and then brought to the transportation system. Energy is a scarce and costly resource, which cannot always be produced from renewable sources. Therefore, it is critical to consume energy as efficiently as possible, that is, transportation activities need to be carried out with an optimal intake of energetic means. This paper reviews existing work on the optimization of energy consumption in the area of transportation, including road freight, passenger rail, maritime, and air transportation modes. The paper also analyzes how optimization methods—of both exact and approximate nature—have been used to deal with these energy-optimization problems. Finally, it provides insights and discusses open research opportunities regarding the use of new intelligent algorithms—combining metaheuristics with simulation and machine learning—to improve the efficiency of energy consumption in transportation. View Full-Text
Keywords: transportation systems; optimization problems; efficient energy consumption; intelligent algorithms; sustainability transportation systems; optimization problems; efficient energy consumption; intelligent algorithms; sustainability
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MDPI and ACS Style

Corlu, C.G.; de la Torre, R.; Serrano-Hernandez, A.; Juan, A.A.; Faulin, J. Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities. Energies 2020, 13, 1115.

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