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Neural evolution for collision detection & resolution in a 2d free flight environment
| Content Provider | CiteSeerX |
|---|---|
| Author | Alam, Sameer Mcpartl, Michelle Barlow, Michael Abbass, Hussein A. Lindsay, Peter |
| Description | In Advances In Artificial During the last decade, air traffic movements worldwide have experienced a tremendous growth. Future air traffic management concepts such as Free Flight have been proposed to provide a means by which traffic flow efficiency can be increased. Under Free Flight, the current methods of airways and way-points for separation assurance won’t exist, providing an aircraft pilot more flexibility to follow more optimized routes given the ever changing nature of a flight plan (bad weather, delays, special use airspace, and runway closure/emergencies etc.). In order to compensate for the loss of airway structure, automated conflict detection and resolution tools will be required to aid pilots in ensuring safety and smooth flow of air traffic. The main challenge is to develop a robust and efficient algorithm to achieve real time performance for large and complex scenarios in a Free Flight Airspace. This paper investigates preliminary design and implementation issues in two dimensions for evolutionary techniques in collision avoidance. Such techniques may find solutions in much a shorter time than classical collision avoidance algorithms. The preliminary results demonstrate that an artificial neural network (ANN) can be trained to compute near optimal trajectories to solve two aircraft conflicts with high reliability while maintaining the mission trajectory towards the destination. I. |
| File Format | |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Resolution Tool Free Flight Airspace Smooth Flow Mission Trajectory Aircraft Conflict Traffic Flow Efficiency Free Flight Environment Special Use Airspace Main Challenge Flight Plan Air Traffic Tremendous Growth Current Method Free Flight Aircraft Pilot Bad Weather Future Air Traffic Management Concept Closure Emergency Complex Scenario Air Traffic Movement Optimal Trajectory Airway Structure Collision Detection Resolution Preliminary Design Last Decade Evolutionary Technique Efficient Algorithm High Reliability Collision Avoidance Separation Assurance Neural Evolution Changing Nature Conflict Detection Implementation Issue Artificial Neural Network Real Time Performance Preliminary Result Classical Collision Avoidance Algorithm Optimized Route |
| Content Type | Text |
| Resource Type | Article |
