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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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