Driver profiling using trajectories on arbitrary roads by clustering roads and drivers successively

• Main Authors: Lyu, Shengfei, Wang, Di, Yang, Xuehao, Miao, Chunyan
• 其他作者: College of Computing and Data Science
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Computer and Information Science; Driver profiling; Arbitrary roads
• 在線閱讀: https://hdl.handle.net/10356/180908

Driver profiling is a widely used tool in fleet management and driver-specific insurance because it differentiates drivers based on their driving behaviors, such as aggressive and non-aggressive, which correspond to different levels of driving risk. However, most existing driver profiling methods re...