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Next-Generation Airborne Collision Avoidance System

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TLDR
The Traffic Alert and Collision Avoidance System (TACSA) as discussed by the authors is an onboard collision avoidance system for large aircraft that has significantly improved the safety of air travel, but major changes to the airspace planned over the coming years will require substantial modification to the system.
Abstract
: In response to a series of midair collisions involving commercial airliners, Lincoln Laboratory was directed by the Federal Aviation Administration in the 1970s to participate in the development of an onboard collision avoidance system. In its current manifestation, the Traffic Alert and Collision Avoidance System is mandated worldwide on all large aircraft and has significantly improved the safety of air travel, but major changes to the airspace planned over the coming years will require substantial modification to the system. Recently, Lincoln Laboratory has been pioneering the development of a new approach to collision avoidance systems that completely rethink show such systems are engineered, allowing the system to provide a higher degree of safety without interfering with normal, safe operations.

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References
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Markov Decision Processes: Discrete Stochastic Dynamic Programming

TL;DR: Puterman as discussed by the authors provides a uniquely up-to-date, unified, and rigorous treatment of the theoretical, computational, and applied research on Markov decision process models, focusing primarily on infinite horizon discrete time models and models with discrete time spaces while also examining models with arbitrary state spaces, finite horizon models, and continuous time discrete state models.
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What is dynamic programming

TL;DR: Sequence alignment methods often use something called a 'dynamic programming' algorithm, which can be a good idea or a bad idea, depending on the method used.

The Traffic Alert and Collision Avoidance System

TL;DR: TCAS is one component of a multi-layered defense against mid-air collisions, and illustrates the particular challenge of developing effective decision aids for use in emergency situations involving extreme time pressure.
Journal ArticleDOI

Airspace Encounter Models for Estimating Collision Risk

TL;DR: A methodology for encounter model construction based on a Bayesian statistical framework connected to an extensive set of national radar data is described and examples of using several such high-fidelity models to evaluate the safety of collision avoidance systems for manned and unmanned aircraft are provided.
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