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Typ záznamu:
stať ve sborníku (D)
Domácí pracoviště:
Katedra informatiky a počítačů (31400)
Název:
Pathfinding in a Dynamically Changing Environment
Citace
Volná, E. a Kotyrba, M. Pathfinding in a Dynamically Changing Environment.
In:
10th Asian Conference on Intelligent Information and Database Systems: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2018-03-19 Dong Hoi City.
Cham, Switzerland: Springer Verlag, 2018. s. 265-274. ISBN 978-3-319-75419-2.
Podnázev
Rok vydání:
2018
Obor:
Informatika
Počet stran:
10
Strana od:
265
Strana do:
274
Forma vydání:
Tištená verze
Kód ISBN:
978-3-319-75419-2
Kód ISSN:
0302-9743
Název sborníku:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Sborník:
Mezinárodní
Název nakladatele:
Springer Verlag
Místo vydání:
Cham, Switzerland
Stát vydání:
Sborník vydaný v zahraničí
Název konference:
10th Asian Conference on Intelligent Information and Database Systems
Místo konání konference:
Dong Hoi City
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků akce:
Celosvětová akce
Kód UT WoS:
000453510500025
EID:
2-s2.0-85043576372
Klíčová slova anglicky:
Dynamic pathfinding, A* algorithm, AV* algorithm
Popis v původním jazyce:
This paper is focused on a proposal of an algorithm for dynamic path planning which uses the input speed of the vehicle as a dynamic value based on which paths are searched in a graph. The proposed algorithm AV* stems from algorithm A*, works with proposed weight functions of evaluation function and, once again, uses information about nodes which have already been calculated in order to find out a faster update of a new path. This algorithm has been subjected to tests, whose results were compared with the results of algorithm A*. The proposed algorithm AV* complies with the condition of pathfinding between two points in a finite time based on the criterion of the fastest path using the maximum of the speed limit. From the point of view of dynamic optimization, all tests achieved a higher speed when the algorithm was run again at a different speed. This speed-up corresponds to approximately 25% and is linearly dependent on the amount of searched nodes.
Popis v anglickém jazyce:
Seznam ohlasů
Ohlas
R01:
RIV/61988987:17310/18:A1901TNJ
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