A New Cellular Automaton Model for Urban Two-Way Road Networks

A new cellular automaton (CA) model is proposed to simulate traffic dynamics in urban two-way road network systems. The NaSch rule is adopted to represent vehicle movements on road sections. Two novel rules are proposed to move the vehicles in intersection areas, and an additional rule is developed...

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Detalles Bibliográficos
Autores principales: Shi, Junqing, Cheng, Lin, Long, Jiancheng, Liu, Yuanlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4236970/
https://www.ncbi.nlm.nih.gov/pubmed/25435868
http://dx.doi.org/10.1155/2014/685047
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author Shi, Junqing
Cheng, Lin
Long, Jiancheng
Liu, Yuanlin
author_facet Shi, Junqing
Cheng, Lin
Long, Jiancheng
Liu, Yuanlin
author_sort Shi, Junqing
collection PubMed
description A new cellular automaton (CA) model is proposed to simulate traffic dynamics in urban two-way road network systems. The NaSch rule is adopted to represent vehicle movements on road sections. Two novel rules are proposed to move the vehicles in intersection areas, and an additional rule is developed to avoid the “gridlock” phenomenon. Simulation results show that the network fundamental diagram is very similar to that of road traffic flow. We found that the randomization probability and the maximum vehicle speed have significant impact on network traffic mobility for free-flow state. Their effect may be weak when the network is congested.
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spelling pubmed-42369702014-11-30 A New Cellular Automaton Model for Urban Two-Way Road Networks Shi, Junqing Cheng, Lin Long, Jiancheng Liu, Yuanlin Comput Intell Neurosci Research Article A new cellular automaton (CA) model is proposed to simulate traffic dynamics in urban two-way road network systems. The NaSch rule is adopted to represent vehicle movements on road sections. Two novel rules are proposed to move the vehicles in intersection areas, and an additional rule is developed to avoid the “gridlock” phenomenon. Simulation results show that the network fundamental diagram is very similar to that of road traffic flow. We found that the randomization probability and the maximum vehicle speed have significant impact on network traffic mobility for free-flow state. Their effect may be weak when the network is congested. Hindawi Publishing Corporation 2014 2014-11-04 /pmc/articles/PMC4236970/ /pubmed/25435868 http://dx.doi.org/10.1155/2014/685047 Text en Copyright © 2014 Junqing Shi et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Shi, Junqing
Cheng, Lin
Long, Jiancheng
Liu, Yuanlin
A New Cellular Automaton Model for Urban Two-Way Road Networks
title A New Cellular Automaton Model for Urban Two-Way Road Networks
title_full A New Cellular Automaton Model for Urban Two-Way Road Networks
title_fullStr A New Cellular Automaton Model for Urban Two-Way Road Networks
title_full_unstemmed A New Cellular Automaton Model for Urban Two-Way Road Networks
title_short A New Cellular Automaton Model for Urban Two-Way Road Networks
title_sort new cellular automaton model for urban two-way road networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4236970/
https://www.ncbi.nlm.nih.gov/pubmed/25435868
http://dx.doi.org/10.1155/2014/685047
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