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International Journal of Intelligent Transportation Systems Research
Erschienen in: International Journal of Intelligent Transportation Systems Research 2/2021

30.04.2021

Prediction of Bus Travel Time over Intervals between Pairs of Adjacent Bus Stops Using City Bus Probe Data

verfasst von: Takuya Kawatani, Tsubasa Yamaguchi, Yuta Sato, Ryotaro Maita, Tsunenori Mine

Erschienen in: International Journal of Intelligent Transportation Systems Research | Ausgabe 2/2021

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Abstract

Prediction of bus travel time is a crucial tool for passengers. We present methods to predict bus travel time over intervals between pairs of adjacent bus stops using city bus probe data. We apply Gradient Boosting Decision Trees to several kinds of features extracted from the probe data. Experimental results illustrate that adding a combination of features improves the accuracy of travel time prediction over the target interval. In particular, the method using a combination of the travel time over the interval previous to the target one and the number of stops the bus makes before reaching the target interval has better performance than the other methods which use all the other combinations of four features used in this study.
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Metadaten
Titel
Prediction of Bus Travel Time over Intervals between Pairs of Adjacent Bus Stops Using City Bus Probe Data
verfasst von
Takuya Kawatani
Tsubasa Yamaguchi
Yuta Sato
Ryotaro Maita
Tsunenori Mine
Publikationsdatum
30.04.2021
Verlag
Springer US
Erschienen in
International Journal of Intelligent Transportation Systems Research / Ausgabe 2/2021
Print ISSN: 1348-8503
Elektronische ISSN: 1868-8659
DOI
https://doi.org/10.1007/s13177-021-00251-8

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