• DocumentCode
    2194943
  • Title

    Traffic Velocity Prediction Using GPS Data: IEEE ICDM Contest Task 3 Report

  • Author

    Shen, Wei ; Kamarianakis, Yiannis ; Wynter, Laura ; He, Jingrui ; He, Qing ; Lawrence, Rick ; Swirszcz, Grzegorz

  • Author_Institution
    T.J. Watson Res. Center, IBM, Yorktown Heights, NY, USA
  • fYear
    2010
  • fDate
    13-13 Dec. 2010
  • Firstpage
    1369
  • Lastpage
    1371
  • Abstract
    This report summarizes the methodologies and techniques we developed and applied for tackling task 3 of the IEEE ICDM Contest on predicting traffic velocity based on GPS data. The major components of our solution include 1) A pre-processing procedure to map GPS data to the network, 2) A K-nearest neighbor approach for identifying the most similar training hours for every test hour, and 3) A heuristic evaluation framework for optimizing parameters and avoiding over-fitting. Our solution finished Second in the final evaluation.
  • Keywords
    Global Positioning System; pattern recognition; road traffic; GPS data; IEEE ICDM Contest task 3 report; K-nearest neighbor approach; heuristic evaluation framework; pre-processing procedure; traffic velocity prediction; cross validation; map-matching; nearest neighbor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4244-9244-2
  • Electronic_ISBN
    978-0-7695-4257-7
  • Type

    conf

  • DOI
    10.1109/ICDMW.2010.52
  • Filename
    5693455