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
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