EconPapers    
Economics at your fingertips  
 

Solving the Time-Dependent Shortest Path Problem Using Super-Optimal Wind

Adam Schienle ()
Additional contact information
Adam Schienle: Zuse Institute Berlin

A chapter in Operations Research Proceedings 2017, 2018, pp 3-9 from Springer

Abstract: 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.

Keywords: Time-dependent shortest path; A* algorithm (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-89920-6_1

Ordering information: This item can be ordered from
http://www.springer.com/9783319899206

DOI: 10.1007/978-3-319-89920-6_1

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:oprchp:978-3-319-89920-6_1