Dynamic Routing of Aircraft in the Presence of Adverse Weather Using a POMDP Framework
| Autor: | Lilly Spirkovska, Shankar Sankararaman, Tomer Arnon, Chetan S. Kulkarni, Edward Balaban, Indranil Roychoudhury |
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| Rok vydání: | 2017 |
| Předmět: |
050210 logistics & transportation
020301 aerospace & aeronautics Decision support system Adverse weather Operations research Computer science 05 social sciences Partially observable Markov decision process 02 engineering and technology Adaptive routing 0203 mechanical engineering Work (electrical) 0502 economics and business Revenue Markov decision process Routing (electronic design automation) Simulation |
| Zdroj: | 17th AIAA Aviation Technology, Integration, and Operations Conference. |
| Popis: | Each year weather-related airline delays result in hundreds of millions of dollars in additional fuel burn, maintenance, and lost revenue, not to mention passenger inconvenience. The current approaches for aircraft route planning in the presence of adverse weather still mainly rely on deterministic methods. In contrast, this work aims to deal with the problem using a Partially Observable Markov Decision Processes (POMDPs) framework, which allows for reasoning over uncertainty (including uncertainty in weather evolution over time) and results in solutions that are more robust to disruptions. The POMDP-based decision support system is demonstrated on several scenarios involving convective weather cells and is benchmarked against a deterministic planning system with functionality similar to those currently in use or under development. |
| Databáze: | OpenAIRE |
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