AI-Integrated Roads Health Recording and Reporting System

Authors

  • Rama Krishna Velpula Lead Android Developer, XT Global Inc, Plano, TX-75093 USA. Author

DOI:

https://doi.org/10.63397/ISCSITR-IJSRAIML_06_03_001

Keywords:

Road Health, AI, Reporting, Recording

Abstract

This research includes an AI-enabled android mobile app that helps capture and store information on roads health. With the help of android smartphone sensors, the system can notice when the road gets smoother or rougher as it changes a little by little. It makes it possible to check up on infrastructure more cheaply and in a way that is easy to make work for big cities with smart technology. Studies show that GIS does well at many tasks, works on different kinds of devices, and helps find and use information to keep cities and towns running smoothly.

References

Khandakar, A., Michelson, D. G., Naznine, M., Salam, A., Nahiduzzaman, M., Khan, K. M., Suganthan, P. N., Ayari, M. A., Menouar, H., & Haider, J. (2025). Harnessing smartphone sensors for Enhanced Road Safety: A comprehensive dataset and review. Scientific Data, 12(1). https://doi.org/10.1038/s41597-024-04193-0

Dong, D., & Li, Z. (2021). Smartphone sensing of road surface condition and defect detection. Sensors, 21(16), 5433. https://doi.org/10.3390/s21165433

Zhao, K., Xu, S., Loney, J., Visentin, A., & Li, Z. (2024). Road Pavement Health Monitoring System Using Smartphone Sensing with a Two-Stage Machine Learning Model. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4752386

Ozoglu, F., & Gökgöz, T. (2023). Detection of road potholes by applying convolutional neural network method based on road vibration data. Sensors, 23(22), 9023. https://doi.org/10.3390/s23229023

Jagatheesaperumal, S. K., Bibri, S. E., Ganesan, S., & Jeyaraman, P. (2023). Artificial Intelligence for road quality assessment in smart cities: a machine learning approach to acoustic data analysis. Computational Urban Science, 3(1). https://doi.org/10.1007/s43762-023-00104-y

Ranyal, E., Sadhu, A., & Jain, K. (2022). Road condition monitoring Using smart sensing and Artificial intelligence: A review. Sensors, 22(8), 3044. https://doi.org/10.3390/s22083044

Sattar, S., Li, S., & Chapman, M. (2018). Road surface Monitoring Using Smartphone Sensors: A review. Sensors, 18(11), 3845. https://doi.org/10.3390/s18113845

Kim, G., & Kim, S. (2024). A road defect detection system using smartphones. Sensors, 24(7), 2099. https://doi.org/10.3390/s24072099

Matarazzo, T. J., Kondor, D., Milardo, S., Eshkevari, S. S., Santi, P., Pakzad, S. N., Buehler, M. J., & Ratti, C. (2022). Crowdsourcing bridge dynamic monitoring with smartphone vehicle trips. Communications Engineering, 1(1). https://doi.org/10.1038/s44172-022-00025-4

Alqaydi, S., Zeiada, W., Wakil, A. E., Alnaqbi, A. J., & Azam, A. (2024). A comprehensive review of smartphone and other Device-Based techniques for Road Surface monitoring. Eng—Advances in Engineering, 5(4), 3397–3426. https://doi.org/10.3390/eng5040177

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Published

2025-05-28

How to Cite

Rama Krishna Velpula. (2025). AI-Integrated Roads Health Recording and Reporting System. ISCSITR - INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (ISCSITR-IJSRAIML) ISSN (Online): 3067-753X, 6(3), 1-13. https://doi.org/10.63397/ISCSITR-IJSRAIML_06_03_001