A CNN-LSTM-attention model for near-crash event identification on mountainous roads

A CNN-LSTM-attention model for near-crash event identification on mountainous roads

To enhance traffic safety on mountainous roads, this study proposes an innovative CNN-LSTM-Attention model designed for the identification of near-crash events, utilizing naturalistic driving data from the challenging terrains in Yunnan, China. A combination of a threshold method complemented by man...

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Bibliographic Details
Main Authors: Zhao, Jing, Yang, Wenchen, Zhu, Feng
Other Authors: School of Civil and Environmental Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Traffic safety
Near-crash events
Online Access:https://hdl.handle.net/10356/178868

Internet

https://hdl.handle.net/10356/178868

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