eceb30a99e062b6336959000fc111f34 ene_a2023m2v16n3p1268.pdf 82264f6d3fc10ad2def1c299212f6d1f4b0add03 ene_a2023m2v16n3p1268.pdf 1f16c2fc3303a5a0ee3521310ba04de058eece5094b3af77345eb3f4d75f7840 ene_a2023m2v16n3p1268.pdf Title: Optimizing Energy Consumption in Smart Cities' Mobility: Electric Vehicles, Algorithms, and Collaborative Economy Subject: 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. Keywords: energy consumption; mobility; transportation; smart cities; optimization; x-heuristics Author: Elnaz Ghorbani, Tristan Fluechter, Laura Calvet, Majsa Ammouriova, Javier Panadero and Angel A. Juan Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Tue Feb 7 02:48:44 2023 CET ModDate: Tue Feb 7 02:57:23 2023 CET Custom Metadata: no Metadata Stream: no Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 19 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 535852 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- DRCMQU+URWPalladioL-Bold Type 1 Custom yes yes no 10 0 KIPULL+URWPalladioL-Roma Type 1 Custom yes yes no 15 0 RGVMCG+URWPalladioL-Ital Type 1 Custom yes yes no 19 0 QDIDFO+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 37 0 FXXUVH+CMSY10 Type 1 Builtin yes yes no 87 0 AAAAAB+font0000000029806525 CID TrueType Identity-H yes yes yes 96 0 AAAAAD+ArialMT TrueType WinAnsi yes yes yes 102 0 AAAAAF+ArialMT TrueType WinAnsi yes yes yes 106 0 QIELJB+CMMI10 Type 1 Builtin yes yes no 118 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2024-04-23 02:36:06 CEST RepresentationInformation: ene_a2023m2v16n3p1268.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2024-04-22 14:57:54 CEST Size: 535852 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 431 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: section.1 Item: Title: Energy Consumption in Smart Cities' Mobility Destination: section.2 Children: Item: Title: Energy Consumption in Transportation Destination: subsection.2.1 Item: Title: Sustainability and Smart Urban Mobility Destination: subsection.2.2 Item: Title: Energy Optimization in Transportation Destination: section.3 Item: Title: Challenges in Mobility Energy Consumption Destination: section.4 Item: Title: Collaborative Economy Destination: section.5 Item: Title: Electric Vehicles Destination: section.6 Item: Title: Intelligent x-Heuristic Algorithms Destination: section.7 Item: Title: Review of Computational Results Destination: section.8 Item: Title: A Case Study Regarding Ridesharing Mobility Destination: section.9 Item: Title: Conclusions Destination: section.10 Item: Title: References Destination: section.10 Info: Title: Optimizing Energy Consumption in Smart Cities' Mobility: Electric Vehicles, Algorithms, and Collaborative Economy Author: Elnaz Ghorbani, Tristan Fluechter, Laura Calvet, Majsa Ammouriova, Javier Panadero and Angel A. Juan Subject: 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. 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