Improved Road Traffic Network Division based on Genetic Algorithm and Graph Coarsening
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F21%3A43962182" target="_blank" >RIV/49777513:23520/21:43962182 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/HSI52170.2021.9538696" target="_blank" >http://dx.doi.org/10.1109/HSI52170.2021.9538696</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/HSI52170.2021.9538696" target="_blank" >10.1109/HSI52170.2021.9538696</a>
Alternative languages
Result language
angličtina
Original language name
Improved Road Traffic Network Division based on Genetic Algorithm and Graph Coarsening
Original language description
In this paper, an improved method for road traffic network division for distributed road traffic simulation is described and compared to its former version. The method is based on the multi-level graph partitioning and the improved dividing genetic algorithm. In comparison to its former version, the improved version uses a slightly different fitness function and employs refining for further improvement of the yielded road traffic network division. The improved division method was thoroughly tested together with its former version. The tests showed that the improved division method yields better results for real irregular road traffic networks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
14th Conference Human System Interaction – 8-10 July 2021 – Conference proceedings
ISBN
978-1-66544-112-4
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
122-129
Publisher name
IEEE
Place of publication
Piscataway
Event location
Gdánsk
Event date
Jul 8, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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