Author Login IJIRT Partner Network (IPN) Login

Pothole Detection in Road Infrastructure and Developing an Early Warning System for Pothole Mitigation or Avoidance Using AI Techniques

  • Unique Paper ID: 175249
  • Volume: 11
  • Issue: 11
  • PageNo: 1883-1887
  • Abstract:
  • Potholes are a severe challenge in road infrastructure, causing vehicle damage, increasing maintenance costs, and contributing to road accidents. Traditional pothole detection methods are manual, time-consuming, and lack efficiency. This paper explores artificial intelligence (AI)-based techniques for pothole detection and proposes an early warning system to mitigate potential hazards. A hybrid approach integrating computer vision (CNN-based deep learning models) and IoT-based vibration sensors is presented to enhance accuracy and real-time detection. Additionally, this research discusses edge computing, federated learning, and cloud-based frameworks for large-scale implementation. The proposed system demonstrates improved detection accuracy and responsiveness through experimental validation. Future enhancements, including 5G integration and self-learning AI models, are explored.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 1883-1887

Pothole Detection in Road Infrastructure and Developing an Early Warning System for Pothole Mitigation or Avoidance Using AI Techniques

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry