Advanced Intelligent Driving Technology

A special issue of Technologies (ISSN 2227-7080). This special issue belongs to the section "Information and Communication Technologies".

Deadline for manuscript submissions: 31 October 2025 | Viewed by 867

Special Issue Editors

Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Interests: automated vehicle test and evaluation; driving behavior and traffic safety
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Guest Editor
School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China
Interests: autonomous driving; intelligent vehicles; intelligent transportation systems

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Guest Editor
School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China
Interests: intelligent transportation systems; autonomous public transit systems

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Guest Editor
Department of Civil and Environmental Engineering, University of Wisconsin-Madison, Madison, WI 53705, USA
Interests: autonomous systems; risk-aware decision-making; human-centered AI
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Special Issue Information

Dear Colleagues,

We are launching this Special Issue in order to highlight the latest achievements in basic theory and new applications in the field of intelligent driving technology and to further promote intelligent connected vehicle technology and sustainable development and innovation in the automotive industry. This Special Issue will publish high-quality papers in the field of advanced intelligent driving technology. It is our pleasure to invite you to contribute an original research article or a comprehensive review on a pertinent topic for peer review and possible publication.

For this Special Issue, we welcome submissions of original research articles and reviews. Research areas may include (but are not limited to) the following:

  • Safety testing and evaluations of automated vehicles;
  • Driving risk recognition and prediction;
  • Human–machine interaction and co-driving technology in diverse environments;
  • Trust in intelligent driving technology;
  • Environmental perception technology for intelligent connected vehicles;
  • Intelligent decision-making technology for intelligent connected vehicles;
  • Collaborative safety assurance technology for intelligent connected vehicles;
  • Techniques for enhancing transportation safety and accident prevention;
  • The development and deployment of autonomous driving technologies;
  • Operational strategies for cooperative driving and multi-agent systems.

Dr. Penghui Li
Dr. Chao Lv
Dr. Rongge Guo
Dr. Heye Huang
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. Technologies 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 1600 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

  • safety testing and evaluation
  • risk recognition and prediction
  • human–machine interaction
  • environmental perception
  • decision-making technology
  • accident prevention

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Published Papers

This special issue is now open for submission.
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