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Stream/Area:
-
Subject:
-
Paper ID:
IJSREMWP49369
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
The Smart System for Vehicle Monitoring (SSVM) improves vehicle management and safety by providing real-time monitoring and data analysis. Using sophisticated technology such as GPS and IoT sensors, The cloud computing system monitors vehicle location, speed, and performance information. This tool offers insights on vehicle health, driving behaviour, and maintenance needs, helping to optimize fleet operations and reduce expenses. The SSVM’s user-friendly interface informs fleet management and individual users to any irregularities, such as speeding or unauthorized usage. Integrating data analytics enhances operational efficiency and promotes safer driving practices, leading to fewer accidents and increased road safety. This abstract describes the components, features, and prospective benefits of the Smart System for Vehicle Monitoring in modern transportation management. The transportation system has evolved alongside humanity. One cannot imagine a life without automobiles. To accommodate the enormous population, the number of automobiles has rapidly expanded. This also resulted in a higher number of accidents. The accident prevention measures employed now are all static and outdated. Furthermore, there is no effective accident detection mechanism. This study presents the Smart Vehicle Monitoring System (SVMS) for early accident detection and theft prevention. When accidents occur, the SVMS promptly identifies them and determines the severity of the event.
KEYWORDS
Publication Date
5/28/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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