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AI-driven transportation systemsreal-time applications and related technologies /

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI-driven transportation systemsedited by Hafsa Maryam ... [et al.].
Reminder of title:	real-time applications and related technologies /
other author:	Maryam, Hafsa.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	xiii, 447 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Intelligent transportation systems.
Online resource:	https://doi.org/10.1007/978-3-031-98349-8
ISBN:	9783031983498$q(electronic bk.)

AI-driven transportation systemsreal-time applications and related technologies /
AI-driven transportation systemsreal-time applications and related technologies /[electronic resource] :edited by Hafsa Maryam ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xiii, 447 p. :ill. (chiefly col.), digital ;24 cm. - Information systems engineering and management,v. 623004-9598 ;. - Information systems engineering and management ;2..

1. Troglodytic architecture in southern Tunisia in the context of culture, space and society; vertical troglodytes in Matmata as a case study -- 2. Screening Cities: Cultural Heritage and Contemporary Urban Experience in East Asia -- 3. Exploring Tradition of the New on Dubai's Self-Image -- 4. Weaving Nature into the Urban Tapestry -- 5. Living on Stilts: An Architectural Analysis of Traditional Badjao Houses in Surigao City.

In today's rapidly advancing technological landscape, the integration of Artificial Intelligence (AI) and Intelligent Transportation Systems (ITS) is revolutionizing transportation. This integration is reshaping ITS by enhancing accuracy and reliability, enabling efficient navigation, and optimizing both traffic and public transport management. AI-Driven Transportation Systems: Real-Time Applications & Related Technologies explores the powerful synergy between AI and modern transportation infrastructures, highlighting their transformative impact on traffic management, autonomous vehicles, and real-time decision-making. This book delves into the next generation of transportation systems, where AI-driven solutions enhance efficiency, safety, and sustainability. From intelligent traffic monitoring and predictive analytics to autonomous navigation and smart city applications, AI is redefining how transportation networks operate, ensuring seamless connectivity and optimized resource utilization. The authors provide in-depth analyses of emerging trends, addressing the challenges of AI integration in ITS, along with ethical considerations and anticipated future advancements. With a focus on cutting-edge research and real-world applications, this book serves as an essential resource for researchers, engineers, policymakers, and professionals interested in the future of AI-powered transportation. Whether you are exploring the potential of AI in transportation or seeking to understand the future of ITS, this book is your gateway to the next era of smart and connected transportation networks.

ISBN: 9783031983498$q(electronic bk.)

Standard No.: 10.1007/978-3-031-98349-8doiSubjects--Topical Terms:

403795
Intelligent transportation systems.

LC Class. No.: TE228.3

Dewey Class. No.: 629.046

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520 $a In today's rapidly advancing technological landscape, the integration of Artificial Intelligence (AI) and Intelligent Transportation Systems (ITS) is revolutionizing transportation. This integration is reshaping ITS by enhancing accuracy and reliability, enabling efficient navigation, and optimizing both traffic and public transport management. AI-Driven Transportation Systems: Real-Time Applications & Related Technologies explores the powerful synergy between AI and modern transportation infrastructures, highlighting their transformative impact on traffic management, autonomous vehicles, and real-time decision-making. This book delves into the next generation of transportation systems, where AI-driven solutions enhance efficiency, safety, and sustainability. From intelligent traffic monitoring and predictive analytics to autonomous navigation and smart city applications, AI is redefining how transportation networks operate, ensuring seamless connectivity and optimized resource utilization. The authors provide in-depth analyses of emerging trends, addressing the challenges of AI integration in ITS, along with ethical considerations and anticipated future advancements. With a focus on cutting-edge research and real-world applications, this book serves as an essential resource for researchers, engineers, policymakers, and professionals interested in the future of AI-powered transportation. Whether you are exploring the potential of AI in transportation or seeking to understand the future of ITS, this book is your gateway to the next era of smart and connected transportation networks.
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