ANALYSIS OF BRAKING DECELERATION AND THE EFFICIENCY OF AUTOMOTIVE BRAKING SYSTEMS USING MATLAB

Authors

  • Yuliyan Petrov Black Sea Experts, Burgas, Bulgaria
  • Liliya Staneva Black Sea Experts, Burgas, Bulgaria

DOI:

https://doi.org/10.68302/std2026.vol2.163

Keywords:

3D visualization, braking deceleration, braking efficiency, MATLAB, tire–road adhesion, vehicle dynamics

Abstract

This study presents an analytical and computational methodology for determining vehicle braking deceleration and evaluating the efficiency of braking systems based on measured skid marks. Based on classical kinematic relationships and the physical limitations of tire–road adhesion, the actual braking deceleration , the maximum possible deceleration ​, and the efficiency coefficient  are defined. A MATLAB-based model has been developed to enable interactive and three-dimensional analysis of the relationships between vehicle speed, braking distance, and available traction. The resulting visualizations allow the identification of critical braking regimes and the assessment of the extent to which the braking system utilizes the physical potential of the road surface. The proposed methodology is applicable to traffic accident reconstruction, engineering evaluation of braking systems, and educational purposes in the field of vehicle dynamics. The experimental results are validated through comparative graphical analysis of acceleration–time histories at different speeds.

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References

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Published

17.09.2026

Issue

Vol. 2 (2026): Proceedings of the International Conference on Secure Systems Design and Technology Development.

Section

ENGINEERING SCIENCES AND PRODUCTION TECHNOLOGY

License

Copyright (c) 2026 Yuliyan Petrov, Liliya Staneva

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Y. Petrov and L. Staneva, “ANALYSIS OF BRAKING DECELERATION AND THE EFFICIENCY OF AUTOMOTIVE BRAKING SYSTEMS USING MATLAB”, SysTechDev, vol. 2, pp. 217–221, Sep. 2026, doi: 10.68302/std2026.vol2.163.