Roadmap to Smart Mobility: Machine Learning in Connected Vehicles

Name: Roadmap to Smart Mobility: Machine Learning in Connected Vehicles
Brand: LAP LAMBERT Academic Publishing
SKU: 9786207450404
Price: 866 CZK
Availability: InStock

Autor: Dr. Shridevi Jeevan Kamble

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP LAMBERT Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 8-11 dnů

866 Kč

In the dynamic landscape of Intelligent Transportation Systems, this research pioneers strategies fo...

Informace o knize

Autor

Dr. Shridevi Jeevan Kamble

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2023

Stránek

EAN

9786207450404

ISBN

620745040X

Enbook ID

44649595

Vydavatel

LAP LAMBERT Academic Publishing

Hmotnost

113

Rozměry

150 x 220 x 4

Kompletní popis

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

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