Traffic Speed Prediction of Urban Road Network Based on High Importance Links Using XGB and SHAP
Eun Hak Lee
Abstract:With the introduction of the intelligent transportation system (ITS), traffic speed prediction has been regarded as one of the key challenging tasks in a complex urban road network. The main idea of this study is to identify links that have a significant impact on the target link and develop a highperformance travel speed prediction model using those links. This study proposes the Extreme gradient boosting model with high importance links (HI-XGB) to predict traffic speed in the urban area. Shapley additive ex… Show more
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.