Kontakt
Kako kupovati
Dostava
Savjetnik za kupnju
Roadmap to Smart Mobility: Machine Learning in Connected Vehicles
Engleski
95 b
Do 30 dana za povrat
Kupci su kupili i
/
Tvrdi uvez
40.71
€
/
Kalendar
54.15
€
/
Meki uvez
13.03
€
/
Meki uvez
35.66
€
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.
Informacije o knjizi
Engleski
Kategorija
Poklonite ovu knjigu još danas
To je jednostavno
1 Dodajte knjigu u košaricu i odaberite isporuku kao poklon 2 Zauzvrat ćemo vam poslati kupon 3 Knjiga dolazi na adresu poklonoprimcaMoglo bi vas zanimati i
/
Tvrdi uvez
208.87
€
/
Meki uvez
18.18
€
/
Meki uvez
205.53
€
