A Machine Learning Approach to Traffic Flow Prediction using CP Data Tensor Decompositions

Link:
Autor/in:
Verlag/Körperschaft:
Loughborough Research Repository
Erscheinungsjahr:
2022
Medientyp:
Text
Schlagworte:
  • modeling and simulation of transportation systems
  • information processing and decision support
  • intelligent transportation systems
  • tensor analysis
  • canonical polyadic decomposition (CPD)
  • traffic flow
  • prediction
  • machine learning
  • disturbance prediction
  • 600: Technik
  • ddc:600
Beschreibung:
  • PeerReviewed
Lizenz:
  • https://creativecommons.org/licenses/by-nc-nd/4.0/
Quellsystem:
ReposIt
Interne Metadaten
Quelldatensatz
oai:reposit.haw-hamburg.de:20.500.12738/4689