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Division of Road Traffic Network 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%2F18%3A43952331" target="_blank" >RIV/49777513:23520/18:43952331 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/HSI.2018.8431334" target="_blank" >http://dx.doi.org/10.1109/HSI.2018.8431334</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/HSI.2018.8431334" target="_blank" >10.1109/HSI.2018.8431334</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Division of Road Traffic Network based on Genetic Algorithm and Graph Coarsening

  • Original language description

    In this paper, an efficient method for road traffic network division is described. The method is based on the dividing genetic algorithm and utilizes graph coarsening to improve its results. The main idea is to coarse the original road traffic network to obtain a smaller (i.e., coarser) network. This coarser network can be optimally divided and this division can be projected to the original network. Using the coarsening (based on geographical positions of the crossroads), the division method is faster and yields better road traffic network divisions. This is demonstrated directly on a distributed road traffic simulation, for which the division of road traffic network is performed.In this paper, an efficient method for road traffic network division is described. The method is based on the dividing genetic algorithm and utilizes graph coarsening to improve its results. The main idea is to coarse the original road traffic network to obtain a smaller (i.e., coarser) network. This coarser network can be optimally divided and this division can be projected to the original network. Using the coarsening (based on geographical positions of the crossroads), the division method is faster and yields better road traffic network divisions. This is demonstrated directly on a distributed road traffic simulation, for which the division of road traffic network is performed.

  • 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

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2018 11th International Conference on Human System Interaction (HSI)

  • ISBN

    978-1-5386-5023-3

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    7

  • Pages from-to

    484-490

  • Publisher name

    IEEE

  • Place of publication

    Piscataway, USA

  • Event location

    Gdaňsk, Polsko

  • Event date

    Jun 4, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article