Optimizing energy consumption in smart cities’ mobility: electric vehicles, algorithms, and collaborative economy
Visualitza/Obre
Cita com:
hdl:2117/384813
Tipus de documentArticle
Data publicació2023-02-01
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional
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.
CitacióGhorbani, E. [et al.]. Optimizing energy consumption in smart cities' mobility: electric vehicles, algorithms, and collaborative economy. "Energies", 1 Febrer 2023, vol. 16, núm. 3, article 1268.
ISSN1996-1073
Versió de l'editorhttps://www.mdpi.com/1996-1073/16/3/1268
Col·leccions
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
energies-16-01268-v2.pdf | 523,2Kb | Visualitza/Obre |