Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Feng, Sun, Li, Sun, Shao-wei, Wang, Dian-hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
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
_version_ 1782358925326155776
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
work_keys_str_mv AT sunfeng studyonthecalculationmodelsofbusdelayatbaysusingqueueingtheoryandmarkovchain
AT sunli studyonthecalculationmodelsofbusdelayatbaysusingqueueingtheoryandmarkovchain
AT sunshaowei studyonthecalculationmodelsofbusdelayatbaysusingqueueingtheoryandmarkovchain
AT wangdianhai studyonthecalculationmodelsofbusdelayatbaysusingqueueingtheoryandmarkovchain