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Grant: Alliance Grants

University of Waterloo

$145,470.00

Scalable Flight Planning with Complex Airspace Restrictions and Fail-Safe Constraints

EF 2024-25

Résumé
The aviation industry is vitally important to the Canadian economy, and Canada is globally recognized for its aerospace expertise. Flight planning is a critical component of aviation, ensuring safety, fuel efficiency, and regulatory compliance. A comprehensive flight plan covers the entire journey and considers factors such as weather, fuel efficiency, regulatory adherence, timing, and emergency preparedness. Major airlines, like Air Canada, generate hundreds of flight plans daily. However, the increasing complexity of airspace restrictions, driven by rising global passenger traffic, enhanced security measures, military conflicts, national security events, and extreme weather, necessitates the development of more scalable flight planning solutions. The proposed research will focus on two aspects of flight operations: 1) Engine Failure Procedures (EFPs) for emergency preparedness, and 2) route planning subject to airspace restrictions. EFPs are a vital part of aviation safety systems, ensuring that an aircraft can take off even if an engine were to fail on the runway, climb out, and safely return to the airport while avoiding terrain and obstacles. Effective route planning is necessary to optimize and accurately predict the fuel consumed by each aircraft, taking into consideration the current weather and wind conditions, airspace restrictions, and legal requirements. This partnership aims to develop efficient, scalable methods for flight planning using optimization and search-based techniques for both EFP generation and route planning. These methods will be fully automated and capable of handling thousands of flights daily. Together, they will address the need to adapt to unforeseen disruptions while minimizing operational changes and the costs associated with such disruptions.
Programme
Alliance Grants
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
597633-2024
Name nom
Smith, Stephen SL
Department département
Electrical & Computer Engineering
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
145470
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2713
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Algorithms
Research subject fr
Algorithmes
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Scalable Flight Planning with Complex Airspace Restrictions and Fail-Safe Constraints
Keywords
algorithm design; flight planning; motion planning; optimization; path planning; route planning and optimization
Application summary
The aviation industry is vitally important to the Canadian economy, and Canada is globally recognized for its aerospace expertise. Flight planning is a critical component of aviation, ensuring safety, fuel efficiency, and regulatory compliance. A comprehensive flight plan covers the entire journey and considers factors such as weather, fuel efficiency, regulatory adherence, timing, and emergency preparedness. Major airlines, like Air Canada, generate hundreds of flight plans daily. However, the increasing complexity of airspace restrictions, driven by rising global passenger traffic, enhanced security measures, military conflicts, national security events, and extreme weather, necessitates the development of more scalable flight planning solutions. The proposed research will focus on two aspects of flight operations: 1) Engine Failure Procedures (EFPs) for emergency preparedness, and 2) route planning subject to airspace restrictions. EFPs are a vital part of aviation safety systems, ensuring that an aircraft can take off even if an engine were to fail on the runway, climb out, and safely return to the airport while avoiding terrain and obstacles. Effective route planning is necessary to optimize and accurately predict the fuel consumed by each aircraft, taking into consideration the current weather and wind conditions, airspace restrictions, and legal requirements. This partnership aims to develop efficient, scalable methods for flight planning using optimization and search-based techniques for both EFP generation and route planning. These methods will be fully automated and capable of handling thousands of flights daily. Together, they will address the need to adapt to unforeseen disruptions while minimizing operational changes and the costs associated with such disruptions.