• Chalumuru Hemanth Sai
• I. S. SRINIVASA RAO

Potholes are a pervasive issue in road infrastructure worldwide, posing significant risks to both drivers and pedestrians. Addressing this problem requires effective management and timely intervention. In this research paper, we present a comprehensive approach to pothole detection, monitoring, and management leveraging modern technologies such as Internet of Things (IoT), data analytics, and geographical information systems (GIS). Our system integrates real-time data collection through IoT sensors with advanced data processing techniques to identify and classify potholes based on severity. Additionally, we develop interactive web-based interfaces for visualizing pothole data, enabling stakeholders to make informed decisions regarding road maintenance prioritization and resource allocation. Through case studies and performance evaluations, we demonstrate the effectiveness and efficiency of our proposed system in mitigating the impact of potholes on road safety and infrastructure integrity. Our research contributes to the advancement of smart infrastructure management systems and offers practical insights for policymakers, urban planners, and transportation authority’s seeking to enhance road quality and safety.

Pothole Detection, Ultrasonic Sensors, Neo 6M GPS, NodeMCU, ESP32, Arduino

"REAL-TIME POTHOLE DETECTION AND ROAD CONDITION MONITORING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.g248-g258, May-2024, Available :http://www.jetir.org/papers/JETIR2405632.pdf

"REAL-TIME POTHOLE DETECTION AND ROAD CONDITION MONITORING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppg248-g258, May-2024, Available at : http://www.jetir.org/papers/JETIR2405632.pdf