DCFS-based deep learning supervisory control for modeling lane keeping of expert drivers

DOI10.1016/j.physa.2020.125720OpenAlexW3119875231MaRDI QIDQ2066074

Jin Chen, Min Zhao, Yang Li, Zhongcheng Liu, Di-Hua Sun

Publication date: 13 January 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2020.125720

zbMATH Keywords

supervisory controllane keepingdeep convolutional fuzzy systemsdriver behavior modelinghuman vehicle co-piloting

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Related Items (1)

Supervisory control of discrete event systems under asynchronous spiking neuron P systems

Cites Work

• A new two-lane lattice hydrodynamic model with the introduction of driver's predictive effect
• New feedback control for a novel two-dimensional lattice hydrodynamic model considering driver's memory effect
• Stability analysis of an improved car-following model accounting for the driver's characteristics and automation
• An extended car-following model considering driver's desire for smooth driving on the curved road

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