Xiaoqian Sun – författare
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3 produkter
3 produkter
Häftad, Engelska, 2025
1 373 kr
Skickas inom 10-15 vardagar
Air Transport: A Computer Science Perspective examines the integration of computer science principles in air transportation, bridging the gap between theory and real-world applications. It delves into automation, problem solving, and innovative aviation technologies. Authored by a seasoned team of a computer scientist and an airspace engineer, it offers a unique blend of expertise that highlights practical algorithms, data structures, and optimization techniques essential for flight operations and autonomous systems. Readers will learn about the latest regulations, ensuring they are well-equipped to navigate the evolving air transport landscape.Structured in five parts, the book begins with foundational concepts like computational complexity and intelligence. It then explores airline operations, including network design, flight scheduling, fleet assignment, and aircraft routing. The exploration continues with airport operations, focusing on gate assignment, ground vehicle allocation, and delay prediction. In the realm of air traffic flow management, readers will discover trajectory optimization, airspace sectorization, and network resilience assessment. The final section summarizes key insights and future trends.This book is an invaluable resource for transportation engineers, computer scientists, and professionals in data science, software engineering, and aviation research. It is ideal for students in aerospace engineering, computer science, and data science programs, emphasizing practical applications that drive innovation and efficiency in the air transport sector.Provides expert reviews of the latest research, emphasizing applications in air transportFocuses on applying machine learning, deep learning, and optimization algorithms for innovative air transport solutionsIncludes practical strategies for managing algorithm efficiency, scalability, and complexity-accuracy trade-offs in real-world scenarios
E-bok
Engelska, 20251 734 kr
Läs direkt efter köp
Air Transport: A Computer Science Perspective examines the integration of computer science principles in air transportation, bridging the gap between theory and real-world applications. It delves into automation, problem solving, and innovative aviation technologies. Authored by a seasoned team of a computer scientist and an airspace engineer, it offers a unique blend of expertise that highlights practical algorithms, data structures, and optimization techniques essential for flight operations and autonomous systems. Readers will learn about the latest regulations, ensuring they are well-equipped to navigate the evolving air transport landscape.Structured in five parts, the book begins with foundational concepts like computational complexity and intelligence. It then explores airline operations, including network design, flight scheduling, fleet assignment, and aircraft routing. The exploration continues with airport operations, focusing on gate assignment, ground vehicle allocation, and delay prediction. In the realm of air traffic flow management, readers will discover trajectory optimization, airspace sectorization, and network resilience assessment. The final section summarizes key insights and future trends.This book is an invaluable resource for transportation engineers, computer scientists, and professionals in data science, software engineering, and aviation research. It is ideal for students in aerospace engineering, computer science, and data science programs, emphasizing practical applications that drive innovation and efficiency in the air transport sector. - Provides expert reviews of the latest research, emphasizing applications in air transport- Focuses on applying machine learning, deep learning, and optimization algorithms for innovative air transport solutions- Includes practical strategies for managing algorithm efficiency, scalability, and complexity-accuracy trade-offs in real-world scenarios
Häftad, Engelska, 2026
1 293 kr
Kommande
From Urban Air Mobility to the Low-Altitude Economy: Concepts, Confluence, and Challenges offers a rigorous overview of the emerging low-altitude economy, focusing on the scientific, technological, and regulatory aspects of Urban Air Mobility (UAM) and electric Vertical Take-Off and Landing (eVTOL) aircraft. The book begins with foundational concepts of UAM and the low-altitude economy and then covers integration strategies, safety, and emerging technologies. It then presents industry experiences and case studies on cargo, passenger transport, emergency services, environmental surveillance, military operations, and more. The final section discusses challenges in transitioning to the low-altitude economy, including technological, regulatory, economic aspects, and more.This resource benefits aviation industry professionals, urban planners, and transportation engineers seeking to integrate eVTOL and UAM systems. Aerospace engineers and sustainability experts gain insights into technological innovations and environmental considerations. Academic researchers and graduate students in aerospace engineering, computer science, and data science will find comprehensive knowledge on the evolving urban air mobility landscape and its economic impacts.Presents comprehensive analysis of technological and regulatory landscapes shaping the low-altitude economy, providing readers with a thorough understanding of the current state and future prospects of LAEIncludes case studies and real-world examples from leading industry experts, that offer practical insights into implementation and integration of UAM systemsExamines the economic, environmental, and social impacts of the low-altitude economy, equipping readers with the knowledge to assess the broader implications of this emerging sectorCombines theoretical frameworks with practical applications for urban air mobility integration