Paper Key : IRJ************639
Author: Pritam Roy
Date Published: 24 Mar 2025
Abstract
The integration of artificial intelligence in fleet management has transformed the transportation andlogistics industry by enhancing operational efficiency through advanced analytics and real-timemonitoring capabilities. The implementation of AI-driven solutions has demonstrated significantimprovements in resource utilization, predictive maintenance, and cost reduction across fleet operations.Machine learning algorithms process comprehensive vehicle telemetry data to predict potential failures,optimize routes dynamically, and improve fuel efficiency. The convergence of IoT sensors with AIanalytics has revolutionized data processing capabilities, enabling unprecedented visibility into fleetoperations and environmental sustainability. Through continuous analysis of driving patterns andreal-time feedback mechanisms, AI-based monitoring systems have enhanced driver performance andsafety metrics. The advancement in federated reinforcement learning, blockchain technology, andspecialized electric vehicle analytics presents promising developments for future fleet management,ensuring improved operational efficiency, data security, and sustainable transportation solutions.
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