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Roadmap to Smart Mobility: Machine Learning in Connected Vehicles: Machine Learning Frameworks: Paving the Way for Smart Transportation - Softcover
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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 monitoring, incorporating the Kalman filter for real-time IoV environment modeling. Policymakers can leverage this data for informed decisions, improving transportation efficiency, reducing congestion, and enhancing safety. Integrating RSUs efficiently manages network resources, contributes to smarter transportation systems, and elevates urban living standards. In conclusion, this research not only advances route prediction and EV preemption but also adds value to the broader landscape of intelligent and responsive transportation systems, benefiting society at large.
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Roadmap to Smart Mobility: Machine Learning in Connected Vehicles
Verlag:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 620745040X
ISBN 13: 9786207450404
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Roadmap to Smart Mobility: Machine Learning in Connected Vehicles
Verlag:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 620745040X
ISBN 13: 9786207450404
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Softcover
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Roadmap to Smart Mobility: Machine Learning in Connected Vehicles
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LAP LAMBERT Academic Publishing, 2023
ISBN 10: 620745040X
ISBN 13: 9786207450404
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Roadmap to Smart Mobility: Machine Learning in Connected Vehicles
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LAP LAMBERT Academic Publishing Dez 2023, 2023
ISBN 10: 620745040X
ISBN 13: 9786207450404
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 64 pp. Englisch. Bestandsnummer des Verkäufers 9786207450404
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Roadmap to Smart Mobility: Machine Learning in Connected Vehicles
Verlag:
LAP Lambert Academic Publishing, 2023
ISBN 10: 620745040X
ISBN 13: 9786207450404
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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-tuni. Bestandsnummer des Verkäufers 1330763180
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Roadmap to Smart Mobility: Machine Learning in Connected Vehicles
Verlag:
LAP LAMBERT Academic Publishing Dez 2023, 2023
ISBN 10: 620745040X
ISBN 13: 9786207450404
Neu
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. Neuware -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 monitoring, incorporating the Kalman filter for real-time IoV environment modeling. Policymakers can leverage this data for informed decisions, improving transportation efficiency, reducing congestion, and enhancing safety. Integrating RSUs efficiently manages network resources, contributes to smarter transportation systems, and elevates urban living standards. In conclusion, this research not only advances route prediction and EV preemption but also adds value to the broader landscape of intelligent and responsive transportation systems, benefiting society at large.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Bestandsnummer des Verkäufers 9786207450404
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Roadmap to Smart Mobility: Machine Learning in Connected Vehicles : Machine Learning Frameworks: Paving the Way for Smart Transportation
Verlag:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 620745040X
ISBN 13: 9786207450404
Neu
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 monitoring, incorporating the Kalman filter for real-time IoV environment modeling. Policymakers can leverage this data for informed decisions, improving transportation efficiency, reducing congestion, and enhancing safety. Integrating RSUs efficiently manages network resources, contributes to smarter transportation systems, and elevates urban living standards. In conclusion, this research not only advances route prediction and EV preemption but also adds value to the broader landscape of intelligent and responsive transportation systems, benefiting society at large. Bestandsnummer des Verkäufers 9786207450404
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Roadmap to Smart Mobility: Machine Learning in Connected Vehicles: Machine Learning Frameworks: Paving the Way for Smart Transportation
Verlag:
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 620745040X
ISBN 13: 9786207450404
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