Toward safe and smart mobility : energy-aware deep learning for driving behavior analysis and prediction of connected vehicles

Toward safe and smart mobility : energy-aware deep learning for driving behavior analysis and prediction of connected vehicles

Connected automated driving technologies have shown tremendous improvement in recent years. However, it is still not clear how driving behaviors and energy consumption correlate with each other and to what extent these factors related to connected vehicles can influence the motion prediction performa...

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Váldodahkkit: Xing, Yang, Lv, Chen, Mo, Xiaoyu, Hu, Zhongxu, Huang, Chao, Hang, Peng
Eará dahkkit: School of Mechanical and Aerospace Engineering
Materiálatiipa: Journal Article
Giella:English
Almmustuhtton: 2021
Fáttát:
Engineering::Mechanical engineering
Energy-aware Driving Behaviors
Vehicle State Prediction
Time-series Modeling
Deep Learning
Liŋkkat:https://hdl.handle.net/10356/147440

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