scholarly journals An Instance-Specific Parameter Tuning Approach Using Fuzzy Logic for a Post-Processing Topological Map-Matching Algorithm

2018 ◽  
Vol 10 (4) ◽  
pp. 87-97 ◽  
Author(s):  
Carola Blazquez ◽  
Jana Ries ◽  
Pablo Andres Miranda ◽  
Roberto Jesus Leon
2014 ◽  
Vol 556-562 ◽  
pp. 5060-5063
Author(s):  
De Xin Yu ◽  
Xin Zhao

In this paper, there is an existing map-matching algorithm on the lack of accuracy, combined with the specific short-message communication function which developed by China's own BeiDou navigation satellites, and then there is proposed a new map matching algorithm for vehicle based on BeiDou Short-Message communication. The algorithm makes up for the shortcomings of existing map matching algorithms, and effectively reduce the matching error, especially for city complex sections, including the main and auxiliary road, the viaduct etc. Finally, this paper validates by comparing the new algorithm with the mature matching algorithm based on fuzzy logic. After verification, it proves that the proposed algorithm can improve the precision of map matching, especially for city complex sections of the map, and the effect is more significant.


2017 ◽  
Vol 43 (8) ◽  
pp. 3863-3874 ◽  
Author(s):  
Xiangmo Zhao ◽  
Xin Cheng ◽  
Jingmei Zhou ◽  
Zhigang Xu ◽  
Nilanjan Dey ◽  
...  

2006 ◽  
Vol 10 (3) ◽  
pp. 103-115 ◽  
Author(s):  
Mohammed A. Quddus ◽  
Robert B. Noland ◽  
Washington Y. Ochieng

2014 ◽  
Vol 722 ◽  
pp. 316-320
Author(s):  
Liang Ma

First in this paper, we will introduce a map matching algorithm based on fuzzy logic, and how we use it to fuse the navigation data. Then we will introduce a kind of iterative algorithm what we use to optimize the parameters of the map matching algorithm we mentioned before. So we can improve the precision of our map matching algorithm.


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