eBook - PDF
Risk Assessment in Air Traffic Management
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- 174 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Risk Assessment in Air Traffic Management
Book details
Table of contents
Citations
About This Book
One of the most complex challenges for the future of aviation is to ensure a safe integration of the expected air traffic demand. Air traffic is expected to almost double its current value in 20 years, which cannot be managed without the development and implementation of a safe air traffic management (ATM) system. In ATM, risk assessment is a crucial cornerstone to validate the operation of air traffic flows, airport processes, or navigation accuracy. This book tries to be a focal point and motivate further research by encompassing crosswise and widespread knowledge about this critical and exciting issue by bringing to light the different purposes and methods developed for risk assessment in ATM.
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Yes, you can access Risk Assessment in Air Traffic Management by Javier Alberto Pérez Castán, Álvaro Rodríguez Sanz in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Aeronautic & Astronautic Engineering. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Risk assessment in Air Traffic Management
- Contents
- Preface
- Section 1 - Airspace Design and Air Traffic
- Chapter 1 - Collision Risk Model for High-Density Airspaces
- Chapter 2 - Relationship between Air Traffic Demand, Safety and Complexity in High-Density Airspace in Europe
- Chapter 3 - Conflict Risk Assessment Based Framework for Airspace Planning and Design
- Section 2 - Complexity and Regulation
- Chapter 4 - Air Traffic Complexity as a Source of Risk in ATM
- Chapter 5 - ICAO Risk Tolerability Solution via Complex Indicators of Air Traffic Control Students’ Attitude to Risk
- Chapter 6 - Risk Assessment under Uncertainty
- Section 3 - New Airspace Users
- Chapter 7 - Trajectory-Based, Probabilistic Risk Model for UAS Operations
- Chapter 8 - Risk-Based Framework for the Integration of RPAS in Non-Segregated Airspace