Road Safety, Human Factors, and Workload in Real and Simulated Environments
A special issue of Infrastructures (ISSN 2412-3811).
Deadline for manuscript submissions: 28 February 2025 | Viewed by 3620
Special Issue Editors
Interests: road traffic safety; driving behaviour; the digitalization of infrastructure; road design; smart road
Interests: road safety; road tests in simulated contexts; road design; digital infrastructure; vehicle dynamics; road maintenance management
Special Issue Information
Dear Colleagues,
We are pleased to announce a Special Issue on "Road Safety, Human Factors, and Workload in Real and Simulated Environments" for the journal Infrastructures. This Special Issue aims to explore the latest advancements and research findings in road safety, focusing on the intersection of human factors, workload, and both real and simulated testing environments.
Road safety is a critical issue worldwide, as traffic accidents remain a leading cause of injury and death. Understanding how human factors such as mental workload and driver behaviour interact with road design and technology is crucial for developing effective safety measures. This Special Issue seeks to gather innovative research that addresses these interactions and provides insights into improving road safety.
We welcome submissions that cover a broad range of topics, including (but not limited to) the following:
- The impact of digital infrastructure on driving performance and safety;
- The effects of advanced driver assistance systems (ADASs) on driver behaviour and workload;
- Methodologies for evaluating driver performance using performance and physiological data;
- Case studies on road safety improvements through real-world and simulated testing;
- The development of new indicators for assessing driving behaviour and road safety.
Our goal is to collate cutting-edge research that not only advances our theoretical understanding but also has practical implications for road safety policy and infrastructure design. Contributions that present new data, innovative methodologies, or comprehensive reviews are highly encouraged.
We believe that this Special Issue will make significant contributions to the field of road safety and provide valuable knowledge for researchers, practitioners, and policymakers. We look forward to your valuable contributions.
Best regards,
Dr. Alessia Ruggeri
Prof. Dr. Orazio Pellegrino
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Infrastructures is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- road safety
- human factors
- drivers' mental workload
- simulated environments
- real environment
- digital infrastructure
- advanced driver assistance systems (ADASs)
- driving behavior
- performance and physiological data
- road design
- smart roads
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