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Publikační činnost
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Record type:
stať ve sborníku (D)
Home Department:
Katedra informatiky a počítačů (31400)
Title:
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.
Subtitle
Publication year:
2018
Obor:
Informatika
Number of pages:
10
Page from:
265
Page to:
274
Form of publication:
Tištená verze
ISBN code:
978-3-319-75419-2
ISSN code:
0302-9743
Proceedings title:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Proceedings:
Mezinárodní
Publisher name:
Springer Verlag
Place of publishing:
Cham, Switzerland
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
10th Asian Conference on Intelligent Information and Database Systems
Conference venue:
Dong Hoi City
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
000453510500025
EID:
2-s2.0-85043576372
Key words in English:
Dynamic pathfinding, A* algorithm, AV* algorithm
Annotation in original language:
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.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17310/18:A1901TNJ
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