Del 22 i serien Springer Tracts on Transportation and Traffic

Applications of Computational Learning and IoT in Smart Road Transportation System

Inbunden, Engelska, 2025

AvSaurav Mallik,Hong Qin,Subrata Nandi,Munshi Yusuf Alam,Arup Roy,Tanvir Habib Sardar

2 789 kr

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Predicting traffic patterns is done by analyzing the gathered data using machine learning algorithms. To forecast parking availability based on past data, the time of day, and special events, apply machine learning algorithms.

Produktinformation

Utgivningsdatum2025-05-09
Mått155 x 235 x 19 mm
Vikt533 g
FormatInbunden
SpråkEngelska
SerieSpringer Tracts on Transportation and Traffic
Antal sidor236
FörlagSpringer International Publishing AG
ISBN9783031876264

Tillhör följande kategorier

Byggnadsteknik inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT
Nätverk och kommunikation inom Data och IT

Future Intelligent Vehicles: Research Roadmaps, Open Issues, and Key Challenges.- Speed Breaker and Vehicle Accident Detection with Alert Sensors.- Integrating Machine Learning and IoT: Pioneering Solutions for Sustainable Smart Cities.- Enhancing Emergency Response and Traffic Management with a Smart Ambulance Detection System Using Image Processing.- IoT-Driven Machine Learning Solutions for Smarter Urban Living.- Revolutionizing Road Transportation: The Role of Artificial Intelligence in Smart and Efficient Systems.- Recent Advancements and Future Perspectives of Dynamic Fuzzy Controllers for Smart Traffic Signaling.- Road Transport in the New Era Using Artificial Intelligence.- A Survey on Driver’s Unusual Behaviour Detection.- Optimization Strategies for Next-Generation AI, ML, and IoT Applications.- Smart Traffic Systems: Revolutionizing Road Transport with AI and Image Processing.- Harnessing IoT and Machine Learning for Sustainable, Smart Urban Environments.- Smart Traffic Management: Automated Rerouting and Congestion Detection with Sensor Technology.