Applications of Computational Learning and IoT in Smart Road Transportation System

Inbunden, Engelska, 2025

Del 22 i serien Springer Tracts on Transportation and Traffic

2 107 kr

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Beskrivning

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

Utgivningsdatum:2025-05-09
Mått:155 x 235 x 19 mm
Vikt:533 g
Format:Inbunden
Språk:Engelska
Serie:Springer Tracts on Transportation and Traffic
Antal sidor:236
Förlag:Springer International Publishing AG
ISBN:9783031876264

Utforska kategorier

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

Innehållsförteckning

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.