Abstract
Planning efficient routes fast becomes ever more important, especially in the context of aircraft trajectories. As time-dependent wind conditions factor into the shortest path query, we use an artificial wind vector called Super-Optimal Wind as a means of creating a suitable potential function for the A* algorithm, thus speeding up the query. We assess the quality of Super-Optimal Wind both theoretically and computationally, and use Super-Optimal Wind in a real-world instance.
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Speed relative to the surrounding air mass.
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Schienle, A. (2018). Solving the Time-Dependent Shortest Path Problem Using Super-Optimal Wind. In: Kliewer, N., Ehmke, J., Borndörfer, R. (eds) Operations Research Proceedings 2017. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-89920-6_1
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DOI: https://doi.org/10.1007/978-3-319-89920-6_1
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