|Table of Contents|

[1] Wang Wei, Guo Xiucheng, Hou Jia,. GPS probe map matching algorithm based on spatial data model [J]. Journal of Southeast University (English Edition), 2010, 26 (3): 461-465. [doi:10.3969/j.issn.1003-7985.2010.03.018]
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GPS probe map matching algorithm based on spatial data model()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
26
Issue:
2010 3
Page:
461-465
Research Field:
Traffic and Transportation Engineering
Publishing date:
2010-09-30

Info

Title:
GPS probe map matching algorithm based on spatial data model
Author(s):
Wang Wei Guo Xiucheng Hou Jia
School of Transportation, Southeast University, Nanjing 210096, China
Keywords:
GPS probe map matching A-star algorithm fuzzy logic Oracle spatial data model
PACS:
U491
DOI:
10.3969/j.issn.1003-7985.2010.03.018
Abstract:
To improve the performance of the traditional map matching algorithms in freeway traffic state monitoring systems using the low logging frequency GPS(global positioning system)probe data, a map matching algorithm based on the Oracle spatial data model is proposed. The algorithm uses the Oracle road network data model to analyze the spatial relationships between massive GPS positioning points and freeway networks, builds an N-shortest path algorithm to find reasonable candidate routes between GPS positioning points efficiently, and uses the fuzzy logic inference system to determine the final matched traveling route. According to the implementation with field data from Los Angeles, the computation speed of the algorithm is about 135 GPS positioning points per second and the accuracy is 98.9%. The results demonstrate the effectiveness and accuracy of the proposed algorithm for mapping massive GPS positioning data onto freeway networks with complex geometric characteristics.

References:

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Memo

Memo:
Biographies: Wang Wei(1981—), male, graduate; Guo Xiucheng(corresponding author), male, doctor, professor, seuguo@163.com.
Citation: Wang Wei, Guo Xiucheng, Hou Jia.GPS probe map matching algorithm based on spatial data model[J].Journal of Southeast University(English Edition), 2010, 26(3):461-465.
Last Update: 2010-09-20