Modeling, Estimation, Control, and Decision for Intelligent Vehicles

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

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