A digital twin-based edge intelligence framework for decentralized decision in IoV system
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El Azzaoui et al. [74] proposed a decentralized IoV management system to lower the carbon footprint of vehicular transportation.
“In their research, El Azzaoui et al. [74] proposed a decentralized IoV management system to lower the carbon footprint of vehicular transportation.”
From Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review (2025) · cites this paper as [74]
This pressing environmental challenge has accelerated the development of Internet of Vehicles (IoV) technology, a critical component of future smart cities.
“This pressing environmental challenge has accelerated the development of Internet of Vehicles (IoV) technology, a critical component of future smart cities [74].”
From Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review (2025) · cites this paper as [74]
El Azzaoui et al. [74] developed a Digital Twin of a vehicle within an intelligent environment, enabling real-time simulation and monitoring of vehicle performance and environmental impact.
“To achieve this, they developed a Digital Twin of a vehicle within an intelligent environment, enabling the real-time simulation and monitoring of vehicle performance and environmental impact.”
From Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review (2025) · cites this paper as [74]
Cites
Vehicular Fog Computing: Architecture, Use Case, and Security and Forensic Challenges
Huang, C., Lu, R., & Choo, K.-K. R. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1700322 · Cited by 311 · see citing works
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Analysis of Digital Twin Applications in Energy Efficiency: A Systematic Review
Ba, L., Tangour, F., El Abbassi, I., & Absi, R. (2025) · Sustainability · doi:10.3390/su17083560 · Cited by 96 · see citing works
- Authors
- El Azzaoui, A., Jeremiah, S. R., Xiong, N. N., & Park, J. H.
- Affiliations
- Seoul National University of Science and Technology (KR)
- Corresponding author
- Park, Jong Hyuk
- Venue
- Information Sciences
- Publisher
- Elsevier BV
- Published
- 2023-11
- Volume
- 649
- Pages
- 119595
- ISSN
- 0020-0255 (ISSN-L)
- OpenAlex
- W4386367009
- Cited by
- 22
- References
- 1
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 5 · 2023: 1
- FWCI
- 5.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Information Sciences (publishedVersion)
- Funders
- National Research Foundation of Korea
- Ministry of Science, ICT and Future Planning (2022K1A3A1A61014825)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Keywords
- digital twin, edge AI, Internet of Vehicles, decentralized decision-making, trust management, electric vehicles, roadside units, energy harvesting, smart contracts, battery charging, carbon footprint reduction, computation offloading, smart transportation, smart cities
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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