Intellectualization of the urban and rural bus: The arrival time prediction method

To improve the intelligence of urban and rural buses, it is necessary to realize the accurate prediction of bus arrival time. This paper first introduced urban and rural buses. Then, the arrival time prediction was divided into two parts: road travel time and stop time, and they were predicted by th...

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Autor principal:	Wang Yunna
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2021
Materias:	urban and rural bus intelligent bus arrival time prediction relative error Science Q Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/ca1ae9edf958416784be7e3484e66d58
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spelling	oai:doaj.org-article:ca1ae9edf958416784be7e3484e66d582021-12-05T14:10:51ZIntellectualization of the urban and rural bus: The arrival time prediction method2191-026X10.1515/jisys-2021-0017https://doaj.org/article/ca1ae9edf958416784be7e3484e66d582021-05-01T00:00:00Zhttps://doi.org/10.1515/jisys-2021-0017https://doaj.org/toc/2191-026XTo improve the intelligence of urban and rural buses, it is necessary to realize the accurate prediction of bus arrival time. This paper first introduced urban and rural buses. Then, the arrival time prediction was divided into two parts: road travel time and stop time, and they were predicted by the support vector regression method and k-nearest neighbor (KNN) method. A section of a bus route in Pingdingshan city of Henan province was taken as an example for analysis. The results showed that the method designed in this study had better accuracy, and the result was closer to the actual value, with a maximum error of 84 s, a minimum error of 10 s, an average error of 42.5 s, and an average relative error of 5.74%, which could meet the needs of passengers. The results verify the reliability of the designed method in predicting the arrival time of urban and rural buses, which can be popularized and applied in practice.Wang YunnaDe Gruyterarticleurban and rural busintelligent busarrival time predictionrelative errorScienceQElectronic computers. Computer scienceQA75.5-76.95ENJournal of Intelligent Systems, Vol 30, Iss 1, Pp 689-697 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	urban and rural bus intelligent bus arrival time prediction relative error Science Q Electronic computers. Computer science QA75.5-76.95
spellingShingle	urban and rural bus intelligent bus arrival time prediction relative error Science Q Electronic computers. Computer science QA75.5-76.95 Wang Yunna Intellectualization of the urban and rural bus: The arrival time prediction method
description	To improve the intelligence of urban and rural buses, it is necessary to realize the accurate prediction of bus arrival time. This paper first introduced urban and rural buses. Then, the arrival time prediction was divided into two parts: road travel time and stop time, and they were predicted by the support vector regression method and k-nearest neighbor (KNN) method. A section of a bus route in Pingdingshan city of Henan province was taken as an example for analysis. The results showed that the method designed in this study had better accuracy, and the result was closer to the actual value, with a maximum error of 84 s, a minimum error of 10 s, an average error of 42.5 s, and an average relative error of 5.74%, which could meet the needs of passengers. The results verify the reliability of the designed method in predicting the arrival time of urban and rural buses, which can be popularized and applied in practice.
format	article
author	Wang Yunna
author_facet	Wang Yunna
author_sort	Wang Yunna
title	Intellectualization of the urban and rural bus: The arrival time prediction method
title_short	Intellectualization of the urban and rural bus: The arrival time prediction method
title_full	Intellectualization of the urban and rural bus: The arrival time prediction method
title_fullStr	Intellectualization of the urban and rural bus: The arrival time prediction method
title_full_unstemmed	Intellectualization of the urban and rural bus: The arrival time prediction method
title_sort	intellectualization of the urban and rural bus: the arrival time prediction method
publisher	De Gruyter
publishDate	2021
url	https://doaj.org/article/ca1ae9edf958416784be7e3484e66d58
work_keys_str_mv	AT wangyunna intellectualizationoftheurbanandruralbusthearrivaltimepredictionmethod
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Intellectualization of the urban and rural bus: The arrival time prediction method

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