Human Factors in Automated Driving and Intelligent Transportation System
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 123
Special Issue Editors
Interests: Intelligent Transportation Systems (ITS); vehicle dynamics; machine learning; hybrid methods and approaches; applied artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Human factors are important to address in the field of intelligent transportation systems (ITSs), especially for automated driving (AD).
As technology advances, the interaction between humans and automated systems becomes increasingly complex, necessitating a deeper understanding of how drivers interact with, adapt to, and perceive these technologies. This Special Issue seeks to explore these dynamics, focusing on aspects such as driver behavior, trust and acceptance of automated systems, cognitive load, ergonomics, and the impact of AD on traffic safety and efficiency. By delving into these topics, we aim to bridge the gap between technological capabilities and human needs, ensuring that automated driving systems are both effective and user-friendly.
This Special Issue encourages authors from academia and industry to submit new research results about technological innovations and novel ideas in the context of human factors in automated driving and intelligent transportation systems.
Dr. Philipp Sieberg
Dr. Magnus Liebherr
Guest Editors
Manuscript Submission Information
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Keywords
- human–machine interaction with ITS and AD
- intelligent user interfaces
- behavior modeling and simulation
- cognitive aspects of driving
- methods and approaches to analyze human factors in ITSs
- intelligent transportation systems
- automated driving
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