MAXIMIZE FLEET VALUE AND SAFETY WITH AI: REAL-TIME VEHICLE TRACKING, TELEMATICS AND COMPLIANCE SOLUTIONS

10.55434/CBI.2024.10103

Authors

  • Venkata Praveen Kumar Kaluvakuri Enterprise Fleet Management

Keywords:

AI, Fleet management, Real-time tracking, Vehicle telematics, GPS tracking, Data analytics, Automation

Abstract

The contemporary world is highly vying, and increased dynamism is being registered in running different organizations' operations, including fleet management, which needs intelligent solutions to make vehicle fleets operational, safe, and compliant. This paper discusses the various changes AI has occasioned in the under-listed fields of fleet management: Real-time vehicle tracking, Telematics and compliance tracking. Real-time vehicle tracking systems using Artificial intelligence means that the fleet owner gains more control over the operations, enhancing planning on the right routes, fuel consumption, and possible theft cases. However, given that telematics has been incorporated into the usage of AI, the following advantages are offered: vehicle maintenance prediction, driver performance, and handling of fleets. Secondly, AI compliance solutions assist in implementing practices that may be formulated to prevent articles that allow penalties and safety measures. This paper also focused on the issues that can be expected in tapping those technologies and strategies that can be applied to reverse them. Thus, considering AI's potential in the context of the analyzed field of fleet management, it is possible to disclose new levels of value, safety, and optimization of the fleets presented in the paper. It can seem helpful to stakeholders interested in applying these technologies.

Additional Files

Published

30-06-2024

How to Cite

Kaluvakuri, V. P. K. (2024). MAXIMIZE FLEET VALUE AND SAFETY WITH AI: REAL-TIME VEHICLE TRACKING, TELEMATICS AND COMPLIANCE SOLUTIONS: 10.55434/CBI.2024.10103. Caribbean Journal of Sciences and Technology, 12(1), 10–18. Retrieved from https://caribjscitech.com/index.php/cjst/article/view/318

Issue

Section

Research Article

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