<p>This book introduces unmanned aircraft systems traffic management (UTM) and how this new paradigm in traffic management integrates unmanned aircraft operations into national airspace systems.</p><p>Exploring how UTM is expected to operate, including possible architectures for UTM implementations,
Lane-Based Unmanned Aircraft Systems Traffic Management (Unmanned System Technologies)
β Scribed by David Sacharny, Thomas C. Henderson
- Publisher
- Springer
- Year
- 2022
- Tongue
- English
- Leaves
- 198
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The age of Advanced Air Mobility (AAM) is upon us, and in ushering new ways to connect and travel, this wave of technology has been compared to GPS and cloud computing. However, new technologies like AAM require tools to build, expand, and understand the capabilities. This book describes an effective and efficient, complete solution to the large-scale, unmanned aircraft systems (UAS) traffic management problem. The authors present a detailed perspective and solutions to some of the major problems involved in coordinating thousands of autonomous vehicles including: virtual highway (lane) creation, strategic deconfliction of flights, dynamic deconfliction, UAS agent behavior learning, anomalous trajectory detection and classification, as well as a set of simulation results for a variety of scenarios (city package delivery, earthquake supply delivery, coalition force coordination through the lane reservation system, etc.).
β¦ Table of Contents
Preface
Contents
1 Current State of Affairs: Economic Impact
1.1 Motivation
1.2 Visuals and Concepts
1.3 Technology Opportunity
2 Introduction to UAS Traffic Management
2.1 Introduction
2.2 NASA/FAA UTM Background
2.3 UTM Scheduling Problem
2.3.1 The Air Traffic Flow Management Problem
2.3.2 The Job-Shop Scheduling Problem
2.3.3 The Multi-Robot Motion Planning Problem
2.3.4 The Traffic Assignment Problem
2.3.5 The Optimization Problem
3 Lane Networks
3.1 Introduction
3.2 Lane-Based Urban Airways
3.3 Spatial Network Measures
3.3.1 Static Spatial Network Measures
3.3.2 Dynamic Spatial Network Measures
4 Strategic Deconfliction
4.1 Introduction
4.2 FAA-NASA Strategic Deconfliction
4.2.1 A Detailed Analysis of Strategic Deconfliction
4.3 Lane-Based Strategic Deconfliction
4.3.1 The Backprojection Method
4.3.2 Backprojection Algorithm
4.3.3 FAA-NASA vs. Lane-Based SD Comparison
4.3.4 Lane Stream Properties
5 Air Traffic Operations Center
5.1 Introduction
5.1.1 Example ATOC Requirements by Utah Department of Transportation
5.2 Lane-Based Monitoring
5.2.1 NAB Modeling
5.2.1.1 The Lane-Based Trajectory Model
5.2.1.2 Sensor Data to Track Rogue Flights
5.2.2 NAB Analysis
5.3 Next Steps
6 UAS BeliefβDesireβIntention Agent Architecture
6.1 Introduction
6.2 Knowledge Representation and Inference
6.2.1 Probabilistic Logic
6.3 Reinforcement Learning
6.3.1 Complexity and Cognitive Structure
6.3.2 Complexity and Airspace Structure
6.3.3 Learning and BDI
6.3.4 Experiments
6.3.4.1 Learning at a Low Level
6.3.4.2 Learning at a Cognitive Level
6.3.4.3 Environment Model
6.3.4.4 Actions
6.3.4.5 Transition Probabilities and Rewards
6.3.5 Policy Selection
6.3.6 Discussion
6.3.7 Conclusion and Future Research
7 Contingency Handling
7.1 Introduction
7.1.1 Lane-Based UTM
7.1.2 Contingencies
7.1.3 Pre-planned Contingency Mechanisms
7.1.4 Dynamic Contingency Mechanisms
7.2 Real-Time Tactical Deconfliction
7.2.1 Approximate Global Deconfliction Using CPAD
7.3 Experiments
7.4 Conclusions and Future Work
8 Agent Based Modeling and Simulation
8.1 Introduction
8.2 Lane Systems and Sensitivity
8.3 Lane Systems and Robustness
8.4 ABMS Optimization
8.4.1 Contingency Handling as a Measure of Effectiveness
8.4.2 UAS Behaviors for Contingency Handling
8.4.2.1 The Role of Cognition in Contingency Handling
8.4.3 UTM Policies for Contingency Handling
8.5 ABMS Test: FAA vs. Lane-Based Approach
8.5.1 Experiments to Determine Parameter Impact on Scheduling Algorithms
9 Strategic Deployment of Drone Centers and Fleet Size Planning for Drone Delivery
9.1 Introduction
9.1.1 Problem Statement
9.1.2 Objectives
9.1.3 Scope
9.2 Research Methods
9.2.1 Overview
9.2.2 Data Source
9.2.3 Optimization Setup
9.3 Web-Based Platform
9.3.1 Overview
9.3.2 Case Study
9.3.2.1 Simulation Form
9.3.3 Simulation Procedure
9.4 Conclusions and Future Work
10 UAS Coalition Forces Coordination Scenario
10.1 Introduction
10.2 Airway Creation and Deconfliction
10.3 Multi-Modal Activities
10.4 Simulation Experiment
10.5 Experimental Results
A SpaceβTime Lane Diagram Enumeration
B Matlab Code for Algorithm LBSD
C Sample ABMS LBSD Code
D Abbreviations
Bibliography
Index
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