HIGHLIGHTS
- who: Pinpin Qin et al. from the School of Mechanical Engineering, Guangxi University, Nanning, China have published the article: A CNN-LSTM Car-Following Model Considering Generalization Ability, in the Journal: Sensors 2023, 660 of /2023/
- what: The model is trained and tested with the extracted car-following trajectories data and compared with the classical car-following models (LSTM model intelligent driver model). The authors propose a novel car-following model combining a convolutional neural_network (CNN) with the LSTM network that adapts between different car-following scenarios, road types, and traffic flows to provide more . . .
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