Genetic-Algorithm-Based Road Traffic Network Division with Improved Refining

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43972562" target="_blank" >RIV/49777513:23520/24:43972562 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10613539" target="_blank" >https://ieeexplore.ieee.org/document/10613539</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/HSI61632.2024.10613539" target="_blank" >10.1109/HSI61632.2024.10613539</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Genetic-Algorithm-Based Road Traffic Network Division with Improved Refining

Popis výsledku v původním jazyce

In this paper, a method for road traffic network division for distributed and/or parallel road traffic simulation is described. Similarly to its former version, it employs multi-level graph partitioning scheme with graph coarsening, where a genetic algorithm is used for initial partitioning. The version of the method described in this paper (Improved Dividing Genetic Algorithm with Graph Coarsening and Improved Refining – IDGA-GC-IR) incorporates improved refining phase. In order to investigate its performance, it was compared to a third-party division method using testing on five road traffic networks. The tests showed that the IDGA-GC-IR method outperforms the compared third-party method in some important aspects of the division (e.g., number of divided traffic lanes), but is significantly slower.

Název v anglickém jazyce

Genetic-Algorithm-Based Road Traffic Network Division with Improved Refining

Popis výsledku anglicky

In this paper, a method for road traffic network division for distributed and/or parallel road traffic simulation is described. Similarly to its former version, it employs multi-level graph partitioning scheme with graph coarsening, where a genetic algorithm is used for initial partitioning. The version of the method described in this paper (Improved Dividing Genetic Algorithm with Graph Coarsening and Improved Refining – IDGA-GC-IR) incorporates improved refining phase. In order to investigate its performance, it was compared to a third-party division method using testing on five road traffic networks. The tests showed that the IDGA-GC-IR method outperforms the compared third-party method in some important aspects of the division (e.g., number of divided traffic lanes), but is significantly slower.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

2024 16th International Conference on Human System Interaction (HSI)

ISBN

979-8-3503-6291-6

ISSN

2158-2246

e-ISSN

2158-2254

Počet stran výsledku

7

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Paříž

Datum konání akce

8. 7. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001294372700016