Name: Air Transport: A Computer Science Perspective (en Inglés)
SKU: 65805520
Price: 133.20 USD
Availability: InStock
Author: Wandelt Sebastian,Sun Xiaoqian

portada Air Transport: A Computer Science Perspective (en Inglés)

Air Transport: A Computer Science Perspective (en Inglés)

Formato

Libro Físico

Editorial

Elsevier

Autor

Wandelt Sebastian,Sun Xiaoqian

Idioma

Inglés

Encuadernación

Tapa Blanda

ISBN13

9780443451508

Air Transport: A Computer Science Perspective (en Inglés)

Wandelt Sebastian,Sun Xiaoqian (Autor) · Elsevier · Tapa Blanda

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Reseña del libro "Air Transport: A Computer Science Perspective (en Inglés)"

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.