TSDCN: Traffic safety state deep clustering network for real‐time traffic crash‐prediction

Abstract Traffic safety state clustering has always been the focus of traffic safety research and the foundation of real‐time crash potential prediction. How to mine effective latent crash risk information and improve clustering effect are the goals and difficulties of traffic safety state clusterin...

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Bibliographic Details
Main Authors: Haitao Li, Qiaowen Bai, Yonghua Zhao, Zhaowei Qu, Wang Xin
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:IET Intelligent Transport Systems
Online Access:https://doi.org/10.1049/itr2.12011