Application of CNN-LSTM Model for Vehicle Acceleration Prediction Using Car-following Behavior Data

Application of CNN-LSTM Model for Vehicle Acceleration Prediction Using Car-following Behavior Data

Accurate vehicle acceleration prediction is useful for developing reliable Advanced Driving Assistance Systems (ADAS) and improving road safety. The existence of driver heterogeneity magnifies the variations in acceleration data, leading to consequential impacts on the precision of vehicle accelerat...

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Bibliographic Details
Main Authors:	Shuning Tang, Yajie Zou, Hao Zhang, Yue Zhang, Xiaoqiang Kong
Format:	Article
Language:	English
Published:	Wiley 2024-01-01
Series:	Journal of Advanced Transportation
Online Access:	http://dx.doi.org/10.1155/2024/2442427
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