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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM68372

Road Surface Health Monitoring Smart Shoes For Traffic Police

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68372

Volume:

10 |

10 |

Oct 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM68372

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Nagarjuna Tanikonda

Nagarjuna Tanikonda

Electronics and Communication Engineering

CMR Technical Campus

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NM

Nagula Manideep

Electronics and Communication Engineering

CMR Technical Campus

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MK

Marpu Kalyani

Electronics and Communication Engineering

CMR Technical Campus

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KT

Kolagani Tejaswini

Electronics and Communication Engineering

CMR Technical Campus

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MA

Mushke Aravind

Electronics and Communication Engineering

CMR Technical Campus

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Abstract

Monitoring road-surface conditions and physical fatigue is important for improving the safety and well-being of traffic police personnel. This paper presents the design and implementation of an IoT-based Road Surface Health Monitoring Smart Shoe System using embedded sensors and wireless communication technology. The system integrates Force Sensitive Resistor (FSR) sensors to measure foot-pressure variations, a piezoelectric sensor to detect impacts and vibrations, and an MPU6050 sensor to monitor movement and orientation. An ESP32 microcontroller collects and processes the sensor data and transmits the readings to the Blynk IoT platform for real-time monitoring.The prototype is implemented using Arduino IDE and verified through sensor readings and dashboard visualization. The obtained results demonstrate the functionality of sensor data acquisition and IoT-based monitoring. The proposed system provides a foundation for developing wearable safety-monitoring solutions for traffic police and other field personnel. Further improvements can focus on sensor calibration, detection accuracy, power efficiency, and experimental validation.

KEYWORDS

Smart Shoes Road Surface Monitoring Internet of Things (IoT) ESP32 FSR Sensor MPU6050 Piezoelectric Sensor Blynk IoT.

Cite This Article

Nagarjuna Tanikonda, Nagula Manideep, Marpu Kalyani, Kolagani Tejaswini, Mushke Aravind, "Road Surface Health Monitoring Smart Shoes For Traffic Police," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-4, Oct 2026. https://doi.org/10.55041/IJSREM68372

Full Article/Conclusion

The Road Surface Health Monitoring Smart Shoes for Traffic Police project presents an IoT-based wearable monitoring system using FSR pressure sensors, a piezoelectric sensor, an MPU6050, and an ESP32 microcontroller. The system collects and processes sensor data and displays the readings through the Arduino IDE Serial Monitor and Blynk IoT dashboard. The prototype demonstrates sensor integration, real-time data visualization, and threshold-based status indications. This approach provides a foundation for monitoring foot-pressure variations, movement, and road-surface impacts among traffic police personnel. Further improvements in sensor calibration, detection accuracy, power efficiency, and experimental validation can enhance the system's reliability and practical applicability.

References

[1]. Madli, R., Hebbar, S., Pattar, P., & Golla, V. (2015). Automatic detection and notification of potholes and humps on roads to aid drivers. IEEE Sensors Journal, 15(8), 4313–4318. [2].  Eriksson, J., Girod, L., Hull, B., Newton, R., Madden, S., & Balakrishnan, H. (2008). The pothole patrol: Using a mobile sensor network for road surface monitoring. Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services (MobiSys), 29–39. [3].  Mednis, A., Strazdins, G., Zviedris, R., Kanonirs, G., & Selavo, L. (2011). Real-time pothole detection using Android smartphones with accelerometers. IEEE International Conference on Distributed Computing in Sensor Systems Workshops, 1–6. [4].  Mohan, P., Padmanabhan, V. N., & Ramjee, R. (2008). Nericell: Using mobile smartphones for rich monitoring of road and traffic conditions. Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems, 323–336. [5].  Vittorio, A., Rosolino, V., Teresa, I., Giovanni, M., & Francesco, V. (2014). Automated sensing system for monitoring road surface quality by mobile devices. Procedia - Social and Behavioral Sciences, 111, 242–251.

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Publication Date

10/26/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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