A Fuzzy Logic Map Matching Algorithm

2008 ◽  
Author(s):  
Yongqiang Zhang ◽  
Yanyan Gao
Keyword(s):  
Fuzzy Logic ◽  
Map Matching ◽  
Matching Algorithm

A Map Matching Algorithm for Vehicle Based on BeiDou Short-Message Communication

2014 ◽  
Vol 556-562 ◽  
pp. 5060-5063
Author(s):  
De Xin Yu ◽  
Xin Zhao
Keyword(s):  
Fuzzy Logic ◽  
Short Message ◽  
Map Matching ◽  
Matching Algorithm ◽  
Matching Error ◽  
Message Communication ◽  
Communication Function

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.

scholarly journals A High Accuracy Fuzzy Logic Based Map Matching Algorithm for Road Transport

2006 ◽  
Vol 10 (3) ◽  
pp. 103-115 ◽  
Author(s):  
Mohammed A. Quddus ◽  
Robert B. Noland ◽  
Washington Y. Ochieng
Keyword(s):  
Fuzzy Logic ◽  
Road Transport ◽  
High Accuracy ◽  
Map Matching ◽  
Matching Algorithm

A Map Matching Algorithm Based on Fuzzy Logic

2014 ◽  
Vol 722 ◽  
pp. 316-320
Author(s):  
Liang Ma
Keyword(s):  
Fuzzy Logic ◽  
Iterative Algorithm ◽  
Map Matching ◽  
Matching Algorithm ◽  
Navigation Data

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.

scholarly journals Development of Multilayer-Based Map Matching to Enhance Performance in Large Truck Fleet Dispatching

2021 ◽  
Vol 10 (2) ◽  
pp. 79
Author(s):  
Ching-Yun Mu ◽  
Tien-Yin Chou ◽  
Thanh Van Hoang ◽  
Pin Kung ◽  
Yao-Min Fang ◽  
...  
Keyword(s):  
Data Structures ◽  
Spatial Data ◽  
Spatial Information ◽  
Data Retrieval ◽  
Spatial Data Mining ◽  
Map Matching ◽  
Matching Algorithm ◽  
Table Method ◽  
Look Up Table ◽  
The Look

Spatial information technology has been widely used for vehicles in general and for fleet management. Many studies have focused on improving vehicle positioning accuracy, although few studies have focused on efficiency improvements for managing large truck fleets in the context of the current complex network of roads. Therefore, this paper proposes a multilayer-based map matching algorithm with different spatial data structures to deal rapidly with large amounts of coordinate data. Using the dimension reduction technique, the geodesic coordinates can be transformed into plane coordinates. This study provides multiple layer grouping combinations to deal with complex road networks. We integrated these techniques and employed a puncture method to process the geometric computation with spatial data-mining approaches. We constructed a spatial division index and combined this with the puncture method, which improves the efficiency of the system and can enhance data retrieval efficiency for large truck fleet dispatching. This paper also used a multilayer-based map matching algorithm with raster data structures. Comparing the results revealed that the look-up table method offers the best outcome. The proposed multilayer-based map matching algorithm using the look-up table method is suited to obtaining competitive performance in identifying efficiency improvements for large truck fleet dispatching.

A turning point-based offline map matching algorithm for urban road networks

2021 ◽  
Vol 565 ◽  
pp. 32-45
Author(s):  
Dongqing Zhang ◽  
Yucheng Dong ◽  
Zhaoxia Guo
Keyword(s):  
Turning Point ◽  
Road Networks ◽  
Map Matching ◽  
Matching Algorithm ◽  
Urban Road

Research on parallelized real-time map matching algorithm for massive GPS data

2017 ◽  
Vol 20 (2) ◽  
pp. 1123-1134 ◽  
Author(s):  
Hongyu Wang ◽  
Jin Li ◽  
Zhenshan Hou ◽  
Ruochen Fang ◽  
Wenbo Mei ◽  
...  
Keyword(s):  
Real Time ◽  
Gps Data ◽  
Map Matching ◽  
Matching Algorithm ◽  
Time Map
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