Traffic Volume Forecasting Model of Freeway Toll Stations During Holidays – An SVM Model

Support vector machine (SVM) models have good performance in predicting daily traffic volume at toll stations, however, they cannot accurately predict holiday traffic volume. Therefore, an improved SVM model is proposed in this paper. The paper takes a toll station in Heilongjiang, China as an examp...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Xiaowei HU, Yongzhi XIAO, Tianlin WANG, Lu YANG, Pengcheng TANG
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	University of Zagreb, Faculty of Transport and Traffic Sciences 2022-06-01
Serie:	Promet (Zagreb)
Ämnen:	traffic volume forecasting svm holiday quarterly conversion factor freeway toll station
Länkar:	https://traffic.fpz.hr/index.php/PROMTT/article/view/3885
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!