Modeling, Estimation, Control, and Decision for Intelligent Vehicles

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Vehicle Engineering".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 113

Special Issue Editors


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Guest Editor
Oak Ridge National Laboratory, Oak Ridge, TN, USA
Interests: vehicle dynamics and control; intelligent transportation; cyber-physical systems
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Guest Editor
Department of Civil and Environmental Engineering, National University of Singapore, Singapore, Singapore
Interests: connected and autonomous vehicles; vehicle dynamics and control; advanced driver assistance system

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Guest Editor
Walker Department of Mechanical Engineering, University of Texas at Austin, Austin, TX 78712, USA
Interests: autonomous driving automotive control; adaptive and robust control; control systems engineering

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Guest Editor Assistant
Department of Civil and Environmental Engineering, National University of Singapore, Singapore, Singapore
Interests: vehicle dynamics and control; advanced driver assistance system; human-machine shared control

Special Issue Information

Dear Colleagues,

In the future of transportation and mobility, the automation and intelligence level of vehicles will become the main factors for improving traffic safety, traffic efficiency, and driving comfort. The high-precision dynamics modeling and state estimation of intelligent vehicles, human-likeness, and real-time performance of decision-making control are core technologies for the development of intelligent vehicles. This Special Issue aims to provide up-to-date research concepts, theoretical findings, and practical solutions for modeling, estimation, control, and decisions for intelligent vehicles, which could enhance the automation and intelligence levels of vehicles. Topics of interest include but are not limited to the following:

  • Personalized Decision and Control for Autonomous Driving
  • End-To-End (E2E) Autonomous Driving
  • Software-Defined Vehicle for Intelligent Vehicles
  • Vehicle-To-Everything (V2X) and Cellular V2X (C-V2X) Communications
  • Cooperative Vehicles
  • Dynamics Modeling, Simulation Analyses, and Control System Design
  • Advanced Driver Assistance Systems
  • Application of AI and Machine Learning for Driver–Vehicle System
  • Human Factors for Intelligent Vehicles
  • X-by-Wire Control and Optimization Design of Intelligent Vehicles

Dr. Zejiang Wang
Dr. Jinhao Liang
Dr. Xingyu Zhou
Guest Editors

Dr. Zhenwu Fang
Guest Editor Assistant

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. Machines 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 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

  • autonomous driving
  • intelligent vehicles
  • driver assistance systems
  • machine learning
  • AI

Published Papers

This special issue is now open for submission.
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