Travel Time Prediction of Multi-Source Historical Data Fusion

Abstract:

Article Preview

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 et al., "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:

$35.00

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