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Genetic Algorithm for Multiple Bus Line Coordination on Urban Arterial

Bus travel time on road section is defined and analyzed with the effect of multiple bus lines. An analytical model is formulated to calculate the total red time a bus encounters when travelling along the arterial. Genetic algorithm is used to optimize the offset scheme of traffic signals to minimize...

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Detalles Bibliográficos
Autores principales: Yang, Zhen, Wang, Wei, Chen, Shuyan, Ding, Haoyang, Li, Xiaowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4309291/
https://www.ncbi.nlm.nih.gov/pubmed/25663837
http://dx.doi.org/10.1155/2015/868521
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author Yang, Zhen
Wang, Wei
Chen, Shuyan
Ding, Haoyang
Li, Xiaowei
author_facet Yang, Zhen
Wang, Wei
Chen, Shuyan
Ding, Haoyang
Li, Xiaowei
author_sort Yang, Zhen
collection PubMed
description Bus travel time on road section is defined and analyzed with the effect of multiple bus lines. An analytical model is formulated to calculate the total red time a bus encounters when travelling along the arterial. Genetic algorithm is used to optimize the offset scheme of traffic signals to minimize the total red time that all bus lines encounter in two directions of the arterial. The model and algorithm are applied to the major part of Zhongshan North Street in the city of Nanjing. The results show that the methods in this paper can reduce total red time of all the bus lines by 31.9% on the object arterial and thus improve the traffic efficiency of the whole arterial and promote public transport priority.
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spelling pubmed-43092912015-02-08 Genetic Algorithm for Multiple Bus Line Coordination on Urban Arterial Yang, Zhen Wang, Wei Chen, Shuyan Ding, Haoyang Li, Xiaowei Comput Intell Neurosci Research Article Bus travel time on road section is defined and analyzed with the effect of multiple bus lines. An analytical model is formulated to calculate the total red time a bus encounters when travelling along the arterial. Genetic algorithm is used to optimize the offset scheme of traffic signals to minimize the total red time that all bus lines encounter in two directions of the arterial. The model and algorithm are applied to the major part of Zhongshan North Street in the city of Nanjing. The results show that the methods in this paper can reduce total red time of all the bus lines by 31.9% on the object arterial and thus improve the traffic efficiency of the whole arterial and promote public transport priority. Hindawi Publishing Corporation 2015 2015-01-13 /pmc/articles/PMC4309291/ /pubmed/25663837 http://dx.doi.org/10.1155/2015/868521 Text en Copyright © 2015 Zhen Yang 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
Yang, Zhen
Wang, Wei
Chen, Shuyan
Ding, Haoyang
Li, Xiaowei
Genetic Algorithm for Multiple Bus Line Coordination on Urban Arterial
title Genetic Algorithm for Multiple Bus Line Coordination on Urban Arterial
title_full Genetic Algorithm for Multiple Bus Line Coordination on Urban Arterial
title_fullStr Genetic Algorithm for Multiple Bus Line Coordination on Urban Arterial
title_full_unstemmed Genetic Algorithm for Multiple Bus Line Coordination on Urban Arterial
title_short Genetic Algorithm for Multiple Bus Line Coordination on Urban Arterial
title_sort genetic algorithm for multiple bus line coordination on urban arterial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4309291/
https://www.ncbi.nlm.nih.gov/pubmed/25663837
http://dx.doi.org/10.1155/2015/868521
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AT dinghaoyang geneticalgorithmformultiplebuslinecoordinationonurbanarterial
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