Driving Automation Systems and Connectivity for a Sustainable Mobility
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".
Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 22419
Special Issue Editors
Interests: internal combustion engines; electrified powertrains; artificial intelligence for sustainable mobility; ADAS
Special Issues, Collections and Topics in MDPI journals
Interests: electrified powertrains; technologies for sustainable mobility; renewable fuels; ADAS
Special Issues, Collections and Topics in MDPI journals
Interests: multi sourses hybrid polygeneration energy convertion systems; internal combustion engines; electrified powertrains; technologies for sustainability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The worldwide regulations for emissions and carbon footprint reduction, together with the shortage in fossil fuels, are constantly driving the industry and researchers to explore advanced solutions for the cleaner exploitation of energy. Therefore, automotive sectors are seeking new solutions in the transport sector and have made large investments in the electrification of existing powertrains, together with the exploitation of ICT facilities, for more intelligent and more efficient methods of mobility. Within this scenario, advanced driver-assistance systems (ADAS) were initially conceived to achieve improved driving comfort and prevent human error, thus reducing road casualties.
Still, the potential of ADAS for energy saving is currently at the forefront of scientific research and is gaining increasing interest. More specifically, the exploitation of the full potential of electrified vehicles (xEV) requires optimum control to cope with the constraints of certain driving journeys and driving behavior. The latter issues could benefit from the prediction of future road conditions, which could be provided by connected and autonomous vehicles (CAVs) Moreover, specific control algorithms could allow for an efficient exploitation of on-board stored energy through optimal driving control and traffic information management. Finally, ICT security issues should also be thoroughly considered for smart control solutions.
This Special Issue encourages researchers working in this field to share their latest finidngs for advanced driver-assistance systems (ADAS) and connected and autonomous vehicles (CAVs) to improve a sustainable mobility, e.g., experimental tests, control strategies, and new layouts of CAVs.
Specific topics of interest for publication include but are not limited to:
- Theory, methods, models, optimization and control of xEVs equipped with driving automation systems;
- Sensors, data processing and management of xEVs and CAVs;
- Scenario definition, testing and validation (xIL, etc.) of DASs;
- Assessment of CAVs environmental impact and energy savings;
- Advanced control strategies (MPC, AI, etc.) for driving automation system applications;
- Eco-driving solutions for xEVs and CAVs;
- Trajectory planning and vehicle control from the perspective of energy consumption, driveability and/or battery lifetime;
- Dedicated solutions for cooperative adaptive cruise control (CACC) and platooning.
Dr. Daniela Anna Misul
Dr. Gabriele Di Blasio
Prof. Dr. Alfredo Gimelli
Guest Editors
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Keywords
- advanced driver-assistance systems
- connected and autonomous vehicles
- sensors, data management, driving automation levels
- eco-driving
- platooning
- connected and automated mobility
- cooperative adaptive cruise control
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