Modeling of Transport Flows in Critical Situations Using Cellular Automata in MATLAB

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F26%3A0199207" target="_blank" >RIV/00216305:26510/26:0199207 - isvavai.cz</a>

Výsledek na webu

<a href="https://ceur-ws.org/Vol-4035/Paper3.pdf" target="_blank" >https://ceur-ws.org/Vol-4035/Paper3.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Modeling of Transport Flows in Critical Situations Using Cellular Automata in MATLAB

Popis výsledku v původním jazyce

Cellular automata can be used to model traffic flow by applying a simple algorithm that regulates the acceleration and deceleration of vehicles. Despite its simplicity, this model allows for the observation of large-scale phenomena, such as traffic jams that propagate backward. These backward-propagating congestion patterns emerge naturally from the interactions between vehicles without the need for centralized control. A variation of this model, implemented in MATLAB, was used to study how different parameters, such as vehicle density on the road or the number of lanes, affect traffic flow intensity. The simulation approach leverages a one-dimensional array of discrete cells, where each cell represents a possible vehicle position and its velocity. Experiments revealed that in a system with a single lane and a maximum speed of 1, a phase transition occurs at a density of 0.08 cars per cell. This phase transition marks a critical shift in traffic dynamics: below the threshold, traffic flows freely, while above it, jams persist and propagate. Moreover, this transition was observed only in cases where the maximum speed exceeded one, confirming the non-linear nature of traffic flow dynamics even under simple rule sets.

Název v anglickém jazyce

Modeling of Transport Flows in Critical Situations Using Cellular Automata in MATLAB

Popis výsledku anglicky

Cellular automata can be used to model traffic flow by applying a simple algorithm that regulates the acceleration and deceleration of vehicles. Despite its simplicity, this model allows for the observation of large-scale phenomena, such as traffic jams that propagate backward. These backward-propagating congestion patterns emerge naturally from the interactions between vehicles without the need for centralized control. A variation of this model, implemented in MATLAB, was used to study how different parameters, such as vehicle density on the road or the number of lanes, affect traffic flow intensity. The simulation approach leverages a one-dimensional array of discrete cells, where each cell represents a possible vehicle position and its velocity. Experiments revealed that in a system with a single lane and a maximum speed of 1, a phase transition occurs at a density of 0.08 cars per cell. This phase transition marks a critical shift in traffic dynamics: below the threshold, traffic flows freely, while above it, jams persist and propagate. Moreover, this transition was observed only in cases where the maximum speed exceeded one, confirming the non-linear nature of traffic flow dynamics even under simple rule sets.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

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

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the International Workshop on Computational Intelligence (IWSCI 2025)

ISBN

978-960-801-961-4

ISSN

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e-ISSN

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Počet stran výsledku

12

Strana od-do

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Název nakladatele

ceur-ws

Místo vydání

Kyiv

Místo konání akce

Kyiv

Datum konání akce

1. 5. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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