AI-Driven Transportation Systems: Real-Time Applications and Related Technologies
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Beschreibung
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.
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.
A comprehensive guide demontrating AI's full potential in the transportation systems. Offers actionable insights and methodologies to integrate AI effectively into Vehicular Ad Hoc Networks. Presents valuable tools and strategies facilitating the application of AI concepts in real-world transportation scenario
Autor*in
Hafsa Maryam
Themen in »AI-Driven Transportation Systems: Real-Time Applications and Related Technologies«
Smart Cities Artificial Intelligence Deep Learning Machine Learning Internet of Things Edge Computing Flying Ad hoc Networks Optimization Route Optimization Security Intrusion Detection Systems Autonomous Vehicles