Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data

T Tang, R Liu, C Choudhury - Sustainable Cities and Society, 2020 - Elsevier
Origin-destination flow of passengers in bus networks is a crucial input to the public
transport planning and operational decisions. Smart card systems in many cities, however …

Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data

T Tang, R Liu, C Choudhury - Sustainable Cities and Society, 2020 - trid.trb.org
Origin-destination flow of passengers in bus networks is a crucial input to the public
transport planning and operational decisions. Smart card systems in many cities, however …

Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data

T Tang, R Liu, C Choudhury - 2020 - worldtransitresearch.info
Origin-destination flow of passengers in bus networks is a crucial input to the public
transport planning and operational decisions. Smart card systems in many cities, however …

Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data

T Tang, R Liu, C Choudhury - Sustainable Cities and …, 2020 - eprints.whiterose.ac.uk
Origin-destination flow of passengers in bus networks is a crucial input to the public
transport planning and operational decisions. Smart card systems in many cities, however …

[引用][C] Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data

T Tang, R Liu, C Choudhury - Sustainable Cities and Society, 2020 - cir.nii.ac.jp
Incorporating weather conditions and travel history in estimating the alighting bus stops from
smart card data | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ …

Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data

T Tang, R Liu, C Choudhury - Sustainable Cities and …, 2020 - ui.adsabs.harvard.edu
New data driving framework for bus ridership estimation. Gradient boosting decision tree
(GBDT) machine learning (ML) algorithm for estimation. GBDT outperforms traditional ML …