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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM35104

VIRTUAL POTHOLE DETECTION SYSTEM

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM35104

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM35104

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

TA

Trupti Andhale

SK

Suyash Karhale

SK

Swarup Kobarne

PP

Priyanka Paikrao

PMRAP

Prof. Mrs. R. A. Patil

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Abstract

The intersection of artificial intelligence and vehicular technology has birthed a realm of innovation, revolutionizing our engagement with the automotive sphere. This survey delves into the realm of virtual pothole detection systems, a pioneering endeavor aimed at mitigating road hazards through technological intervention. As society gravitates towards a digitalized landscape, the imperative for enhanced road safety looms large. Virtual pothole detection systems represent a concerted effort to address this pressing concern, leveraging cutting-edge advancements in sensor technology, data analytics, and vehicular communication protocols. This paper scrutinizes the evolution, methodologies, and efficacy of virtual pothole detection systems, offering insights into their operational paradigms and prospects. Amidst the backdrop of burgeoning urbanization and escalating vehicular traffic, the significance of such systems cannot be overstated. By elucidating the intricacies of virtual pothole detection systems, this survey endeavors to catalyze further research and innovation in the pursuit of safer, more resilient road networks

KEYWORDS

Virtual Pothole Detection System (VPDS) Sensor Technology Data Analytics Vehicular Communication Road Safety Pothole Detection Accident Prevention Road Maintenance Artificial Intelligence.

Cite This Article

Trupti Andhale, Suyash Karhale, Swarup Kobarne, Priyanka Paikrao, Prof. Mrs. R. A. Patil, "VIRTUAL POTHOLE DETECTION SYSTEM," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024. https://doi.org/10.55041/IJSREM35104

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Publication Date

12/31/45440

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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