Roadmap to Smart Mobility: Machine Learning in Connected Vehicles

Roadmap to Smart Mobility: Machine Learning in Connected Vehicles

Machine Learning Frameworks: Paving the Way for Smart Transportation

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In the dynamic landscape of Intelligent Transportation Systems, this research pioneers strategies for efficient route prediction, particularly vital for emergency vehicles (EVs). The HL-CTP model employs incremental learning, enhancing accuracy by fine-tuning predictions based on historical data. Complementing this, the SG-TSE model adjusts traffic lights, minimizing the negative impact of congestion on both regular traffic and EV preemption. Recognizing the limitations of traditional machine learning in Internet of Vehicles networks, our third objective utilizes YOLOv4-based traffic monitorin...