Using naturalistic driving data to identify driving style based on longitudinal driving operation conditions
Purpose – An individual’s driving style significantly affects overall traffic safety. However, driving style is difficult to identify due to temporal and spatial differences and scene heterogeneity of driving behavior data. As such, the study of real-time driving-style identification methods is of g...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2022-02-01
|
| Series: | Journal of Intelligent and Connected Vehicles |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/JICV-07-2021-0008/full/pdf?title=using-naturalistic-driving-data-to-identify-driving-style-based-on-longitudinal-driving-operation-conditions |