Mathematical Research Data Initiative
Main page
Recent changes
Random page
Help about MediaWiki
Create a new Item
Create a new Property
Merge two items
In other projects
MaRDI portal item
Discussion
View source
View history
Purge
English
Log in

Research on lane change prediction model based on GBDT

From MaRDI portal
Publication:2112214
Jump to:navigation, search

DOI10.1016/J.PHYSA.2022.128290OpenAlexW4308260507MaRDI QIDQ2112214

Yanyan Li

Publication date: 9 January 2023

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

Full work available at URL: https://doi.org/10.1016/j.physa.2022.128290


zbMATH Keywords

random forestensemble learninggradient boostinglane-changeNGSIM dataset


Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)





Cites Work

  • Soliton solutions and Bäcklund transformation for the complex Ginzburg-Landau equation
  • Multiple-vehicle collision induced by lane changing in traffic flow
  • An extended car-following model under V2V communication environment and its delayed-feedback control
  • A hybrid model for lane change prediction with V2X-based driver assistance
  • Random forests




This page was built for publication: Research on lane change prediction model based on GBDT

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:2112214&oldid=14607760"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
This page was last edited on 1 February 2024, at 22:19.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki