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Internet of Things (IoT)-Based Solutions for Uneven Roads and Balanced Vehicle Systems Using YOLOv8

Author

Listed:
  • Momotaz Begum

    (Department of Computer Science and Engineering, Dhaka University of Engineering & Technology, Gazipur 1707, Bangladesh)

  • Abm Kamrul Islam Riad

    (Center for Cybersecurity, University of West Florida, Pensacola, FL 32514, USA)

  • Abdullah Al Mamun

    (Department of Computer Science and Engineering, Dhaka University of Engineering & Technology, Gazipur 1707, Bangladesh)

  • Thofazzol Hossen

    (Department of Computer Science and Engineering, Dhaka University of Engineering & Technology, Gazipur 1707, Bangladesh)

  • Salah Uddin

    (Department of Computer Science and Engineering, Dhaka University of Engineering & Technology, Gazipur 1707, Bangladesh)

  • Md Nurul Absur

    (Department of Computer Science, CUNY Graduate Center, New York, NY 10016, USA)

  • Hossain Shahriar

    (Center for Cybersecurity, University of West Florida, Pensacola, FL 32514, USA)

Abstract

Uneven roads pose significant challenges to vehicle stability, passenger comfort, and safety, especially in snowy and mountainous regions. These problems are often complex and challenging to resolve with traditional detection and stabilization methods. This paper presents a dual-method approach to improving vehicle stability by identifying road irregularities and dynamically adjusting the balance. The proposed solution combines YOLOv8 for real-time road anomaly detection with a GY-521 sensor to track the speed of servo motors, facilitating immediate stabilization. YOLOv8 achieves a peak precision of 0.99 at a confidence threshold of 1.0 rate in surface recognition, surpassing conventional sensor-based detection. The vehicle design is divided into two sections: an upper passenger seating area and a lower section that contains the engine and wheels. The GY-521 sensor is strategically placed to monitor road conditions, while the servomotor stabilizes the upper section, ensuring passenger comfort and reducing the risk of accidents. This setup maintains stability even on uneven terrain. Furthermore, the proposed solution significantly reduces collision risk, vehicle wear, and maintenance costs while improving operational efficiency. Its compatibility with various vehicles and capabilities makes it an excellent candidate for enhancing road safety and driving experience in challenging environments. In addition, this work marks a crucial step towards a safer, more sustainable, and more comfortable transportation system.

Suggested Citation

  • Momotaz Begum & Abm Kamrul Islam Riad & Abdullah Al Mamun & Thofazzol Hossen & Salah Uddin & Md Nurul Absur & Hossain Shahriar, 2025. "Internet of Things (IoT)-Based Solutions for Uneven Roads and Balanced Vehicle Systems Using YOLOv8," Future Internet, MDPI, vol. 17(6), pages 1-29, June.
    • Handle: RePEc:gam:jftint:v:17:y:2025:i:6:p:254-:d:1675010
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    References listed on IDEAS

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    1. Xiang Wang & Po Zhao & Yanyun Tao, 2018. "Evaluating Impacts of Overloaded Heavy Vehicles on Freeway Traffic Condition by a Novel Multi-Class Traffic Flow Model," Sustainability, MDPI, vol. 10(12), pages 1-22, December.
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