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Optimizing Energy Consumption in Smart Cities’ Mobility: Electric Vehicles, Algorithms, and Collaborative Economy

Author

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  • Elnaz Ghorbani

    (Department of Computer Science, Universitat Oberta de Catalunya, 08018 Barcelona, Spain)

  • Tristan Fluechter

    (Smurfit Business School, University College Dublin, Blackrock, D04 V1W8 Dublin, Ireland)

  • Laura Calvet

    (Department of Telecommunication and Systems Engineering, Universitat Autònoma de Barcelona, 08202 Sabadell, Spain)

  • Majsa Ammouriova

    (Department of Computer Science, Universitat Oberta de Catalunya, 08018 Barcelona, Spain)

  • Javier Panadero

    (Department of Management, Universitat Politècnica de Catalunya, 08028 Barcelona, Spain
    Department of Management, Euncet Business School, 08225 Terrassa, Spain)

  • Angel A. Juan

    (Department of Management, Euncet Business School, 08225 Terrassa, Spain
    Department of Applied Statistics and Operations Research, Universitat Politècnica de València, 03801 Alcoy, Spain)

Abstract

Mobility and transportation activities in smart cities require an increasing amount of energy. With the frequent energy crises arising worldwide and the need for a more sustainable and environmental friendly economy, optimizing energy consumption in these growing activities becomes a must. This work reviews the latest works in this matter and discusses several challenges that emerge from the aforementioned social and industrial demands. The paper analyzes how collaborative concepts and the increasing use of electric vehicles can contribute to reduce energy consumption practices, as well as intelligent x-heuristic algorithms that can be employed to achieve this fundamental goal. In addition, the paper analyzes computational results from previous works on mobility and transportation in smart cities applying x-heuristics algorithms. Finally, a novel computational experiment, involving a ridesharing example, is carried out to illustrate the benefits that can be obtained by employing these algorithms.

Suggested Citation

  • Elnaz Ghorbani & Tristan Fluechter & Laura Calvet & Majsa Ammouriova & Javier Panadero & Angel A. Juan, 2023. "Optimizing Energy Consumption in Smart Cities’ Mobility: Electric Vehicles, Algorithms, and Collaborative Economy," Energies, MDPI, vol. 16(3), pages 1-19, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1268-:d:1046017
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