Next Generation of Intelligent Transportation Systems and Vehicles: Combining Human and Engineering Factors

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Transportation and Future Mobility".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 105

Special Issue Editors


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Guest Editor
School of Engineering and the Built Environment, Edinburgh Napier University, 10 Colinton Road, Edinburgh EH10 5DT, UK
Interests: transportation; applied cognition; design for automation; human factors; autonomous vehicle in smart cities; smart mobility; inclusive transportation

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Guest Editor
Department of Transportation and Hydraulic Engineering, School of Rural and Surveying Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
Interests: traffic safety; statistical and econometric methods; transportation design and analysis; travel behavior; emerging transportation technologies
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Special Issue Information

Dear Colleagues,

The much-promised adoption of so-called driverless cars or automated vehicles (AV) at SAE level 3 and above has been slow. In spite of initial optimism and having received considerable investment, concepts considered exciting in 2010s have seldom advanced to high technology readiness levels (TRLs) or progressed beyond proof of concept demonstrators. The economic underpinnings of such technologies remain uncertain. Moreover, the potential of automated aviation services, such as drone deliveries or automated passenger services, appears to be on the cusp of suffering this same fate. This course of events may be attributable to hard robotics problems emerging from the application of general artificial intelligence and robotic methods which are required to tackle the real world of transportation. Alternatively, this slowdown may be due to the problems of designing automation with a human in the loop, such as safety issues arising from takeover requests (TORs).

On the other hand, the promise of automation in some domains is gradually being realized using achievable automation as a means to address clearly identifiable existing transportation needs or new opportunities emerging from technologies such as convolution neural networks, sensor fusion, and workload support for pilots. These new integrated technologies require proven interface designs, safe and serviceable equipment, and realizable economic models at higher TRLs. Importantly, they must also address demanding legal certification and regulatory requirements.

Irrespective of the potential of emerging technologies, one common factor that has arisen is the set of difficulties arising from failures to properly consider the human context of use, at the individual, passenger, and also at the social level. Engineering often misses the societal context of new technology and its implications for human behavior and infrastructure. There is a dearth of research looking at factors ranging from the economic to stakeholder-based, societal, decarbonization-focused, and human factors; acting in conjunction with proposed new configurations of technologies. Hence, this special Issue seeks to attract papers addressing solutions in novel areas combining precisely scoped and engineered automation, electrification, disabled access, net-zero power sources, and specific engineering problems—such as those tackling issues of highway driving, rural mobility, or sub-regional aviation. Papers should detail applications for real-world usage cases with a prospect of implementation in the near future (i.e., within the next five years).

Topics of interest for this Special Issue include, but are not restricted to:

Applications

  1. The case for self-driving public transport and shared vehicles, including buses and cars;
  2. Unmanned aerial vehicles (UAVs) for the transport of goods and medical supplies or for emergency response;
  3. Business models for automated aviation; advanced air mobility (AAM), and sub-regional air transport;
  4. Inclusion through automated support of driving and mobility—i.e. essential travel.

Human Behavior

  1. User acceptance and the perceived need for automation;
  2. Behavioral approaches to mode shifting towards sustainable and active travel;
  3. Training people to use and understand automated technologies.

Infrastructure

  1. Barriers and facilitators for automated vehicle infrastructure—citing issues that include power, the built environment, and local governance;
  2. Designing automated transportation into smart cities; intelligent or AI-facilitated control for road infrastructure;
  3. Communication strategies for vehicles, road infrastructure, and traffic management.

Prof. Dr. Pat Langdon
Dr. Grigorios Fountas
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. Applied Sciences is an international peer-reviewed open access semimonthly 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 2400 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

  • intelligent transport
  • autonomous vehicles
  • UAVs
  • AAM
  • inclusive transport
  • user acceptance
  • mode shifting
  • automation training
  • automated vehicle infrastructure
  • smart city transportation
  • communication for traffic management

Published Papers

This special issue is now open for submission.
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