Context-Aware Attention Encoder-Decoder Network for Connected Heavy-Duty Vehicle Aggressive Driving Identification Under Naturalistic Driving Conditions

Driving behavior analysis and identification are of great significance for improving traffic safety and reducing fuel consumption. Existing methods primarily focused on the driving behavior of light-duty vehicles based on analysis methods using simulation or questionnaire data, while heavy-duty vehi...

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Vydáno v:	IEEE transactions on intelligent transportation systems Ročník 25; číslo 8; s. 9710 - 9722
Hlavní autoři:	Tang, Kun, Yang, Li, Ma, Yongfeng, Guo, Tangyi, He, Fang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 01.08.2024
Témata:	attention mechanism Computational modeling Connected vehicles context-aware Data models Deep learning Driving behavior heavy-duty vehicle Safety Sensors Vehicle dynamics
ISSN:	1524-9050, 1558-0016
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