Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 31, 07 March 2024
Open
Access | Article
Design analysis of simulated smart cars at different cases
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Abstract
This abstract provides a brief overview of the importance of force analysis in motion analysis within the context of intelligent vehicle systems. It highlights the significance of force analysis in understanding the dynamics of motion in these systems and its applications for optimizing vehicle performance and safety. Force analysis plays a crucial role in motion analysis within the field of intelligent vehicle systems. By analyzing the forces acting on a vehicle, researchers and engineers can gain insights into its acceleration, trajectory, stability, and overall performance. This analysis aids in optimizing vehicle control strategies, such as steering, braking, and acceleration, to ensure smooth and safe operation. Furthermore, force analysis helps identify critical factors that influence vehicle dynamics, such as tire-road interactions, aerodynamics, and vehicle weight distribution. By understanding these forces, engineers can design intelligent vehicle systems that enhance stability, maneuverability, and fuel efficiency. In conclusion, force analysis is instrumental in motion analysis within intelligent vehicle systems. Its applications range from optimizing vehicle control strategies to improving stability, safety, and fuel efficiency. By leveraging force analysis, researchers and engineers can contribute to the development of advanced intelligent vehicles that meet the demands of a rapidly evolving transportation landscape.
Keywords
Stimulation, dynamic, intelligent vehicle
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 3rd International Conference on Computing Innovation and Applied Physics
- ISBN (Print)
- 978-1-83558-317-3
- ISBN (Online)
- 978-1-83558-318-0
- Published Date
- 07 March 2024
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/31/20241102
- Copyright
- 07 March 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited