Development of Vehicle Dynamics and Intelligent Control
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".
Deadline for manuscript submissions: 30 April 2027 | Viewed by 18
Editor
Special Issue Information
Dear Colleagues,
The continuous advancement of vehicle technologies, including connected, autonomous, electrified, and software-defined vehicles, has significantly increased the importance of accurate vehicle dynamics modeling and advanced intelligent control methodologies. The development of rigorous mathematical models, computational frameworks, and intelligent decision-making algorithms is essential for understanding, predicting, and optimizing vehicle behavior under increasingly complex operating conditions. These approaches facilitate the design of safer, more efficient, reliable, and sustainable transportation systems capable of addressing contemporary mobility challenges.
Recent progress in sensing technologies, embedded computing platforms, artificial intelligence, machine learning, and cyber-physical systems has created new opportunities for the implementation of advanced control architectures and real-time vehicle management strategies. By integrating model-based and data-driven approaches, intelligent control systems can improve vehicle safety, stability, energy efficiency, ride comfort, and operational performance across a broad range of transportation applications.
This Special Issue aims to present recent theoretical developments, methodological advances, and practical applications in the fields of vehicle dynamics, intelligent control, and automotive system engineering. It seeks to provide an interdisciplinary forum for researchers, engineers, and practitioners from academia and industry to disseminate original research contributions, emerging methodologies, and innovative solutions that advance the state of the art in intelligent mobility systems.
Dr. Péter Pál Bakucz
Guest Editor
Manuscript Submission Information
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Keywords
- vehicle dynamics modeling, analysis, and simulation
- longitudinal, lateral, and vertical vehicle dynamics
- intelligent vehicle control systems
- advanced driver assistance systems (ADAS)
- autonomous and automated driving technologies
- motion planning, trajectory generation, and path tracking
- vehicle state estimation and sensor fusion
- adaptive, robust, predictive, and optimal control methods
- fault diagnosis, fault-tolerant control, and system health monitoring
- electric, hybrid, and alternative-powertrain vehicle control
- intelligent energy management and energy-efficient driving strategies
- connected and cooperative vehicle systems
- vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technologies
- cyber-physical systems and digital twins for mobility applications
- reinforcement learning and machine learning in vehicle control
- safety-oriented control approaches, including applications related to ISO 26262 and SOTIF
- intelligent transportation systems and smart mobility solutions
- real-time control architectures and embedded implementations
- verification, validation, and virtual testing of intelligent vehicle systems
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