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Study on the Calculation Models of Bus Delay at Bays Using Queueing Theory and Markov Chain
Traffic congestion at bus bays has decreased the service efficiency of public transit seriously in China, so it is crucial to systematically study its theory and methods. However, the existing studies lack theoretical model on computing efficiency. Therefore, the calculation models of bus delay at b...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4339825/ https://www.ncbi.nlm.nih.gov/pubmed/25759720 http://dx.doi.org/10.1155/2015/750304 |
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author | Sun, Feng Sun, Li Sun, Shao-wei Wang, Dian-hai |
author_facet | Sun, Feng Sun, Li Sun, Shao-wei Wang, Dian-hai |
author_sort | Sun, Feng |
collection | PubMed |
description | Traffic congestion at bus bays has decreased the service efficiency of public transit seriously in China, so it is crucial to systematically study its theory and methods. However, the existing studies lack theoretical model on computing efficiency. Therefore, the calculation models of bus delay at bays are studied. Firstly, the process that buses are delayed at bays is analyzed, and it was found that the delay can be divided into entering delay and exiting delay. Secondly, the queueing models of bus bays are formed, and the equilibrium distribution functions are proposed by applying the embedded Markov chain to the traditional model of queuing theory in the steady state; then the calculation models of entering delay are derived at bays. Thirdly, the exiting delay is studied by using the queueing theory and the gap acceptance theory. Finally, the proposed models are validated using field-measured data, and then the influencing factors are discussed. With these models the delay is easily assessed knowing the characteristics of the dwell time distribution and traffic volume at the curb lane in different locations and different periods. It can provide basis for the efficiency evaluation of bus bays. |
format | Online Article Text |
id | pubmed-4339825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-43398252015-03-10 Study on the Calculation Models of Bus Delay at Bays Using Queueing Theory and Markov Chain Sun, Feng Sun, Li Sun, Shao-wei Wang, Dian-hai Comput Intell Neurosci Research Article Traffic congestion at bus bays has decreased the service efficiency of public transit seriously in China, so it is crucial to systematically study its theory and methods. However, the existing studies lack theoretical model on computing efficiency. Therefore, the calculation models of bus delay at bays are studied. Firstly, the process that buses are delayed at bays is analyzed, and it was found that the delay can be divided into entering delay and exiting delay. Secondly, the queueing models of bus bays are formed, and the equilibrium distribution functions are proposed by applying the embedded Markov chain to the traditional model of queuing theory in the steady state; then the calculation models of entering delay are derived at bays. Thirdly, the exiting delay is studied by using the queueing theory and the gap acceptance theory. Finally, the proposed models are validated using field-measured data, and then the influencing factors are discussed. With these models the delay is easily assessed knowing the characteristics of the dwell time distribution and traffic volume at the curb lane in different locations and different periods. It can provide basis for the efficiency evaluation of bus bays. Hindawi Publishing Corporation 2015 2015-02-11 /pmc/articles/PMC4339825/ /pubmed/25759720 http://dx.doi.org/10.1155/2015/750304 Text en Copyright © 2015 Feng Sun 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 Sun, Feng Sun, Li Sun, Shao-wei Wang, Dian-hai Study on the Calculation Models of Bus Delay at Bays Using Queueing Theory and Markov Chain |
title | Study on the Calculation Models of Bus Delay at Bays Using Queueing Theory and Markov Chain |
title_full | Study on the Calculation Models of Bus Delay at Bays Using Queueing Theory and Markov Chain |
title_fullStr | Study on the Calculation Models of Bus Delay at Bays Using Queueing Theory and Markov Chain |
title_full_unstemmed | Study on the Calculation Models of Bus Delay at Bays Using Queueing Theory and Markov Chain |
title_short | Study on the Calculation Models of Bus Delay at Bays Using Queueing Theory and Markov Chain |
title_sort | study on the calculation models of bus delay at bays using queueing theory and markov chain |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4339825/ https://www.ncbi.nlm.nih.gov/pubmed/25759720 http://dx.doi.org/10.1155/2015/750304 |
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