Autonomous Vehicles

Ramya G Franklin

ISBN 10: 6209163432 / ISBN 13: 9786209163432

Published by LAP LAMBERT Academic Publishing Nov 2025, 2025

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Autonomous Vehicles: The Role of AI, Machine Learning, and IoT in Smart Transportation examines the transformative impact of emerging technologies on modern mobility. Artificial Intelligence (AI) and Machine Learning (ML) empower autonomous vehicles to perceive complex environments, make real-time decisions, predict traffic patterns, and continuously improve performance through data-driven learning. The Internet of Things (IoT) facilitates seamless connectivity between vehicles, infrastructure, and traffic management systems, enabling coordinated communication, adaptive routing, and efficient resource utilization. By integrating these technologies, autonomous vehicles enhance road safety, reduce traffic congestion, lower environmental impact, and contribute to the development of intelligent, sustainable urban transportation networks. This synergy of AI, ML, and IoT is driving the evolution of smart transportation, paving the way for safer, more efficient, and fully connected mobility ecosystems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.

Seller Inventory # 9786209163432

Bibliographic Details

• Title: Autonomous Vehicles
• Publisher: LAP LAMBERT Academic Publishing Nov 2025
• Publication Date: 2025
• Language: English
• ISBN 10: 6209163432
• ISBN 13: 9786209163432
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 149 grams

About this title

Synopsis

Autonomous Vehicles: The Role of AI, Machine Learning, and IoT in Smart Transportation examines the transformative impact of emerging technologies on modern mobility. Artificial Intelligence (AI) and Machine Learning (ML) empower autonomous vehicles to perceive complex environments, make real-time decisions, predict traffic patterns, and continuously improve performance through data-driven learning. The Internet of Things (IoT) facilitates seamless connectivity between vehicles, infrastructure, and traffic management systems, enabling coordinated communication, adaptive routing, and efficient resource utilization. By integrating these technologies, autonomous vehicles enhance road safety, reduce traffic congestion, lower environmental impact, and contribute to the development of intelligent, sustainable urban transportation networks. This synergy of AI, ML, and IoT is driving the evolution of smart transportation, paving the way for safer, more efficient, and fully connected mobility ecosystems.