Paper Title:
Travel Time Prediction of Multi-Source Historical Data Fusion
  Abstract

For improving the travel time predication accuracy, a travel time predication model based multi-source historical is proposed. The model analyzes the different features between the loop detector data and the probing vehicles data, and creates traffic rules based on traffic patterns through data mining. Finally, the experiment of the navigation system based on multi-source historical data fusion is given. The results show the effectiveness of the model performs well.

  Info
Periodical
Key Engineering Materials (Volumes 474-476)
Edited by
Garry Zhu
Pages
777-781
DOI
10.4028/www.scientific.net/KEM.474-476.777
Citation
W. T. Liu, Z. J. Wang, Q. Yan, "Travel Time Prediction of Multi-Source Historical Data Fusion", Key Engineering Materials, Vols. 474-476, pp. 777-781, 2011
Online since
April 2011
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Price
$32.00
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