A Systematic Approach for Microscopic Models Based on Cellular Automata for Road Traffic

The transportation infrastructure is one of the most important resources for a country's economic and social well-being. The effectiveness of a country's street network will decide whether it develops further or stagnates. With the increasing number of vehicles on the road and the effects...

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Main Authors: Eduardo Valente, Camelia Avram, Adina Astilean, José Machado
Format: Article
Language:English
Published: Sieć Badawcza Łukasiewicz - Warszawski Instytut Technologiczny 2022-03-01
Series:Technologia i Automatyzacja Montażu
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Online Access:https://journals.prz.edu.pl/tiam/article/view/813/623
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author Eduardo Valente
Camelia Avram
Adina Astilean
José Machado
author_facet Eduardo Valente
Camelia Avram
Adina Astilean
José Machado
author_sort Eduardo Valente
collection DOAJ
description The transportation infrastructure is one of the most important resources for a country's economic and social well-being. The effectiveness of a country's street network will decide whether it develops further or stagnates. With the increasing number of vehicles on the road and the effects of urbanization, traffic roads are being subjected to a variety of requests and uses for which they were not designed, sized, or predicted. Because of the critical relevance of traffic roads, research must begin to lessen the effects of traffic jams in the streets, determine the appropriate number of traffic lanes, and integrate real-time traffic information into GPS systems. The goal of modeling a traffic-road system is to either build new traffic systems or gain a better knowledge of existing traffic systems so that they can be optimized. The accuracy, performance, stochastic and dynamic behavior of the model produced will be evaluated using a simulation of a genuine traffic system. This paper provides microscopic models based on cellular automation to replicate the behavior of various automobiles on a set of urban streets in Cluj Napoca city downtown. This model includes streets with multiple traffic lanes, various types of vehicles such as automobiles, buses, and trams, intersections with multiple possible upcoming streets controlled by traffic lights, bus stops inside and outside the traffic lane, tram stops inside the traffic lane, pedestrian crosswalks, and parking areas alongside and transversely with the right traffic lane of a street. TCA (Traffic Cellular Automata) is a proposed model that produces adequate findings in urban traffic theory. The results were obtained in both free-flow and traffic-jam conditions.
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spelling doaj-art-f97675fa4864400b977d3fac31ea63bc2025-08-20T03:17:32ZengSieć Badawcza Łukasiewicz - Warszawski Instytut TechnologicznyTechnologia i Automatyzacja Montażu2450-82172022-03-011151142710.7862/tiam.2022.1.2A Systematic Approach for Microscopic Models Based on Cellular Automata for Road TrafficEduardo Valente0Camelia Avram1https://orcid.org/0000-0002-7394-5051Adina Astilean2José Machado3https://orcid.org/0000-0002-4917-2474University of Minho, MEtRICs Research CenterTechnical University of Cluj NapocaTechnical University of Cluj NapocaUniversity of Minho, MEtRICs Research CenterThe transportation infrastructure is one of the most important resources for a country's economic and social well-being. The effectiveness of a country's street network will decide whether it develops further or stagnates. With the increasing number of vehicles on the road and the effects of urbanization, traffic roads are being subjected to a variety of requests and uses for which they were not designed, sized, or predicted. Because of the critical relevance of traffic roads, research must begin to lessen the effects of traffic jams in the streets, determine the appropriate number of traffic lanes, and integrate real-time traffic information into GPS systems. The goal of modeling a traffic-road system is to either build new traffic systems or gain a better knowledge of existing traffic systems so that they can be optimized. The accuracy, performance, stochastic and dynamic behavior of the model produced will be evaluated using a simulation of a genuine traffic system. This paper provides microscopic models based on cellular automation to replicate the behavior of various automobiles on a set of urban streets in Cluj Napoca city downtown. This model includes streets with multiple traffic lanes, various types of vehicles such as automobiles, buses, and trams, intersections with multiple possible upcoming streets controlled by traffic lights, bus stops inside and outside the traffic lane, tram stops inside the traffic lane, pedestrian crosswalks, and parking areas alongside and transversely with the right traffic lane of a street. TCA (Traffic Cellular Automata) is a proposed model that produces adequate findings in urban traffic theory. The results were obtained in both free-flow and traffic-jam conditions. https://journals.prz.edu.pl/tiam/article/view/813/623urban-traffic theorycellular automatonsimulationmodelingtraffic-elements
spellingShingle Eduardo Valente
Camelia Avram
Adina Astilean
José Machado
A Systematic Approach for Microscopic Models Based on Cellular Automata for Road Traffic
Technologia i Automatyzacja Montażu
urban-traffic theory
cellular automaton
simulation
modeling
traffic-elements
title A Systematic Approach for Microscopic Models Based on Cellular Automata for Road Traffic
title_full A Systematic Approach for Microscopic Models Based on Cellular Automata for Road Traffic
title_fullStr A Systematic Approach for Microscopic Models Based on Cellular Automata for Road Traffic
title_full_unstemmed A Systematic Approach for Microscopic Models Based on Cellular Automata for Road Traffic
title_short A Systematic Approach for Microscopic Models Based on Cellular Automata for Road Traffic
title_sort systematic approach for microscopic models based on cellular automata for road traffic
topic urban-traffic theory
cellular automaton
simulation
modeling
traffic-elements
url https://journals.prz.edu.pl/tiam/article/view/813/623
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