Networked Electric Vehicles for Green Intelligent Transportation
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Transportation".
Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 499
Special Issue Editors
Interests: autonomous systems; UAVs; connected vehicles; Internet of Things; robotics; wireless communications; Edge/Fog computing; machine learning
Interests: edge computing; connected and autonomous; distributed machine learning inference
Special Issue Information
Dear Colleagues,
The vehicles of the modern generation are becoming smarter, with enormous sensing capabilities and ubiquitous connectivity with other vehicles, as well as with infrastructure. However, with the increase in system complexity and data processing, the energy consumption by these networked vehicles, as well as infrastructure, imposes significant problems with increased carbon emissions. Electric vehicles, to some extent, can mitigate the problem, which, however, has multifaceted challenges of how efficiently they can manage the energy utilization by various vehicular applications. Distributed computing with other vehicles, roadside units or mobile edge computing can help minimize energy consumption in the vehicles. The networked electric vehicles can coordinate more intelligently to minimize their energy consumption, thus, minimizing the carbon footprints generated by the vehicles. However, there are needs of new models, methods, topology, architecture and planning to make the transportation green and intelligent. The green transportation can also incorporate renewable energy for infrastructure or different vehicular sensors to make it sustainable, which, however, needs to address challenges of reliability and availability in the renewable energy sources. Additional challenges in green intelligent transportation arise when the vehicles are considered autonomous or semi-autonomous, as it imposes significant safety constraints that need to be satisfied with green transportation.
This Special Issue focuses on the fundamental technology, approach and techniques for the optimization of energy usage in networked vehicles and/or connected infrastructures for green intelligent transportation. Authors are encouraged to submit their research works from theoretical, methodological or practical focuses, such as simulation models, real-world experiments, algorithms and applications concerning green transportation.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Optimization techniques for EV charging
- Traffic decongestion for reducing carbon footprints
- Distributed computing for optimizing energy consumptions by vehicles
- Renewable-energy-driven transportation infrastructure
- Intelligent V2V charge sharing
- Optimization of energy usage by sensor data processing in EVs
- Optimizations in energy usage in a platoon of connected EVs
Dr. Sabur Baidya
Dr. Davide Callegaro
Dr. Yanhai Xiong
Guest Editors
Manuscript Submission Information
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Keywords
- EV charging
- green transportation
- charge sharing
- energy optimization
- sustainable transportation
- optimization techniques for EV charging
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