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

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.

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A Map Matching Algorithm Based on Fuzzy Logic

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.722.316 ◽

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.

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Study of fuzzy logic and particle swarm methods in map matching algorithm

SN Applied Sciences ◽

10.1007/s42452-020-2431-y ◽

2020 ◽

Vol 2 (4) ◽

Cited By ~ 2

Author(s):

Ajay Kr. Gupta ◽

Udai Shanker

Keyword(s):

Fuzzy Logic ◽

Particle Swarm ◽

Map Matching ◽

Matching Algorithm

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

IEEE Intelligent Transportation Systems Magazine ◽

10.1109/mits.2018.2867527 ◽

2018 ◽

Vol 10 (4) ◽

pp. 87-97 ◽

Cited By ~ 1

Author(s):

Carola Blazquez ◽

Jana Ries ◽

Pablo Andres Miranda ◽

Roberto Jesus Leon

Keyword(s):

Fuzzy Logic ◽

Parameter Tuning ◽

Map Matching ◽

Post Processing ◽

Topological Map ◽

Matching Algorithm ◽

Specific Parameter

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Study on Initial Gravity Map Matching Technique Based on Triangle Constraint Model

Journal of Navigation ◽

10.1017/s0373463315000661 ◽

2015 ◽

Vol 69 (2) ◽

pp. 353-372 ◽

Cited By ~ 4

Author(s):

Zhu Zhuangsheng ◽

Guo Yiyang ◽

Yang Zhenli

Keyword(s):

Inertial Navigation System ◽

High Accuracy ◽

Map Matching ◽

Initial Error ◽

Matching Algorithm ◽

Matching Technique ◽

Contour Point ◽

Constraint Model ◽

Short Time ◽

Gravity Map

In this paper, a gravity map-matching algorithm is proposed based on a triangle constraint model. A high-accuracy triangle constraint model is constructed by using a short time and high-accuracy-featured inertial navigation system. In this paper, the principle of the gravity map-matching algorithm based on the triangle constraint model and a triangle matching parameter-parsing method are first introduced in detail. It is verified by test that the method is sensitive to the initial error value. By comparison to the commonly used Iterative Closest Contour Point (ICCP) and Sandia Inertial Terrain Aided Navigation (SITAN) algorithms respectively, the results show that this method is perfect in real-time performance and reliability, and its advantages are more obvious especially with a large initial error.

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A Fuzzy Logic Map Matching Algorithm

2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery ◽

10.1109/fskd.2008.234 ◽

2008 ◽

Cited By ~ 5

Author(s):

Yongqiang Zhang ◽

Yanyan Gao

Keyword(s):

Fuzzy Logic ◽

Map Matching ◽

Matching Algorithm

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Integrated map-matching algorithm based on fuzzy logic and dead reckoning

ICCAS 2010 ◽

10.1109/iccas.2010.5669709 ◽

2010 ◽

Author(s):

Yan-Lan Yang ◽

Hua Ye ◽

Shu-Min Fei

Keyword(s):

Fuzzy Logic ◽

Dead Reckoning ◽

Map Matching ◽

Integrated Map ◽

Matching Algorithm

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

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10020079 ◽

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.

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