TCAS Conflict Detection And Resolution In Aircraft Based On ADS-B Data

This thesis discusses the development of a TCAS training program intended to improve pilots’ understanding of TCAS use for collision avoidance in a range of traffic situations.Results from this thesis may also extend more broadly to improved training techniques for other similar complex,time-critical situations.The Traffic Alert and Collision Avoidance System TCAS has been developed to reduce the risk of mid-air collision and is currently mandated on all large aircraft.The system is based on interrogations to determine the altitude and relative positions of nearby aircraft.Despite technical advances in the Air Traffic Control system(ATC),there are cases when the separation provision fails due to a human or technical error.Any separation provision failures may result in an increased risk of a mid-air collision.These systems would generate a high rate of unnecessary alarms,especially in dense terminal areas which can cause confusion and pilots become stressed and make wrong decisions that conduce a fatal tragedy.To avoid this issue,we propose a new design of TCAS based on the prevention of any unexpected traffic alert or any limitations of Air Traffic Control.The literature review discusses both TCAS development and operation,and research on training program design.Throughout,a range of skills,rules,and knowledge pilots need to effectively interact with TCAS are noted,and then appropriate training mechanisms are identified.Our challenge in this thesis is to give a resolution of any situation in mid-air that can cause any dangerous collision,we provide a resolution algorithm for conflict detection which is based on three important rules:Aircraft Face to Face,Aircraft Crossing Ways,and Aircraft Overtaking.The simulation is conducted according to the three basic rules,to give a better solution to the issues presented.An important historical incident that happened in Uberlingen,is analyzed to give an overview of the benefit of implementation and constants development of the TCAS,where 71 passengers has been killed on the night of 1 July 2002,when a Boeing 757 operated by the cargo carrier DHL collided with a Russian Tu-154 passenger jet at 34,940 feet over the small town of Uberlingen Germany.Several feasible scenarios are tested in simulations to look into the TCAS performance on the ground computer and the airborne EFIS.The results offer a wider aviation safety to low altitude flights.The first application analyzes prototypes of the next-generation Airborne Collision Avoidance System(ACAS X)in simulated aircraft encounters.We find,categorize,and analyze the most likely scenarios of near mid-air collisions(NMACs).We also perform differential studies comparing ACAS X to the existing Traffic Alert and Collision Avoidance System(TCAS).Our results give confidence that Next-Cas Ⅱ offers a safety benefit over TCAS.The second application analyzes a prototype trajectory planning system for a small unmanned aircraft navigating through a three-dimensional maze.We find and analyze the most likely collision scenarios and planning failures.Our analysis identifies a variety of potential safety issues that include algorithmic robustness issues,emergent behaviors from interacting systems,and implementation bugs.We have validated numerous observations of the model with higher-fidelity simulations of the full system.This analysis has revealed several characteristics of Next-Cas Ⅱ’s behavior.Our additional study discusses the challenge of the Next Generation Air Transportation System(Next-Gen)plan,which denotes that with the implementation of Automatic Dependent Surveillance-Broadcasting(ADS-B),TCAS may become inadequate.