A hybrid model for lane change prediction with V2X-based driver assistance

DOI10.1016/J.PHYSA.2019.122033OpenAlexW2964020895WikidataQ127449578 ScholiaQ127449578MaRDI QIDQ2163679

Ting Xu, Jiehan Zhou, Meijun Liu, Ruisen Jiang, Changlei Wen

Publication date: 10 August 2022

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

Full work available at URL: https://doi.org/10.1016/j.physa.2019.122033

zbMATH Keywords

Gaussian mixture modelintelligent vehiclecontinuous hidden Markov modellane-change prediction

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Related Items (1)

Research on lane change prediction model based on GBDT

Cites Work

• Multiple-vehicle collision induced by lane changing in traffic flow
• An extended car-following model under V2V communication environment and its delayed-feedback control
• An extended lattice hydrodynamic model considering the delayed feedback control on a curved road
• The nonlinear analysis for a new continuum model considering anticipation and traffic jerk effect
• An extended continuum model accounting for the driver's timid and aggressive attributions

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