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Artificial Intelligence and Digital Twins Applications towards Vehicles Monitoring, Management, Control, and Safety Technology
This special issue belongs to the section “Networks“.
Special Issue Information
Dear Colleagues,
Vehicle monitoring, management, control, and intelligent safety technologies have recently been paid increased attention by researchers around the world. The safety systems of intelligent vehicles are developed based on advanced electronics technology such as radar, vision processing, and human–machine interfaces. In addition, the rapid development of artificial intelligence (AI), digital twins, and internet of things (IoT) technologies and their applications in daily life have a huge impact on the concepts, designs, and manufacturing of vehicles.
The scope of this Special Issue, "Vehicle Engineering and Intelligent Safety Research", is to encourage engineers, scholars, and researchers to present research achievements in state-of-the-art technologies with respect to intelligent vehicle management, control, and safety technologies.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Digital twins for vehicle engineering;
- Communications and internet of things (IoT) technologies for EVs;
- Path planning or artificial intelligence of vehicles;
- Hybrid and electric vehicles;
- Advanced manufacturing technology for smart vehicles;
- Path tracking and dynamics control;
- Intelligent transportation systems;
- Risk management for smart vehicles;
- Energy monitoring and control of EVs.
Dr. Mahmoud Elsisi
Dr. Minh-Quang Tran
Guest Editors
Manuscript Submission Information
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Keywords
- digital twins for vehicle engineering
- communications and internet of things (IoT) technologies for EVs
- path planning or artificial intelligence of vehicles
- hybrid and electric vehicles
- advanced manufacturing technology for smart vehicles
- path tracking and dynamics control
- intelligent transportation systems
- risk management for smart vehicles
- energy monitoring and control of EVs
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