Safe And Energy Efficient Jerk Controlled Speed Profiling For On Road Autonomous Vehicles

Authors

  • Mr. Basava Dhanne Assistant Professor; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • , Shaik Hidayath Basha B.E.Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Gattu Bharth B.E.Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Md Riyaz Uddin B.E.Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author
  • Md Minhaj Ali B.E.Students; Department of Electronics and Communication Engineering, Lords Institute of Engineering and Technology, Hyderabad, Telangana, India. Author

DOI:

https://doi.org/10.63665/5djaej79

Keywords:

Autonomous Vehicles, Speed Planning, Quintic Polynomial, Jerk Control, Energy Efficiency, Dynamic Obstacle Avoidance, Vehicle Dynamics, Path Planning, Road Curvature, Road Gradient

Abstract

Efficient speed planning is crucial for the safe and comfortable navigation of autonomous vehicles in dynamic environments. This paper introduces a novel energy-efficient, jerk-controlled speed planning approach based on quintic polynomial generation. We present a systematic methodology to determine the dynamic speed of autonomous vehicles by integrating several factors, including the relative velocity with dynamic obstacles, the curvature of the base frame and optimal selected path, road adherence, and road gradient. The direct integration of road adherence and gradient into the speed profiling approach contributes to improving vehicle safety. Comparative analysis with literature methods demonstrates the significant impact of jerk smoothness on energy efficiency. Simulations are conducted in a joint simulation between Simulink and SCANER Studio vehicle dynamics simulator, followed by validation on a real-world dataset. Our findings elucidate the significance of the proposed planning method in enhancing safety, energy economy, driving comfort, and computational efficiency, while effectively addressing a wide range of critical.

References

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Published

2026-06-17

Issue

Vol. 2 No. 2 (2026): April-June (In Press)

Section

Articles

License

Copyright (c) 2026 Authors

Creative Commons License

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

How to Cite

Mr. Basava Dhanne, , Shaik Hidayath Basha, Gattu Bharth, Md Riyaz Uddin, & Md Minhaj Ali. (2026). Safe And Energy Efficient Jerk Controlled Speed Profiling For On Road Autonomous Vehicles. International Journal of Artificial Intelligence and Computer Electronics, 2(2), 62-70. https://doi.org/10.63665/5djaej79