scholarly journals A Survey on Map-Matching Algorithms

2020 ◽  
pp. 121-133
Author(s):  
Pingfu Chao ◽  
Yehong Xu ◽  
Wen Hua ◽  
Xiaofang Zhou
Keyword(s):  
Map Matching

Control of Autonomous Mobile Robot Using Map Matching with Optimized Search Range

2013 ◽  
Vol 133 (5) ◽  
pp. 502-509 ◽  
Author(s):  
Kouhei Komiya ◽  
Shunsuke Miyashita ◽  
Yutaka Maruoka ◽  
Yutaka Uchimura
Keyword(s):  
Mobile Robot ◽  
Map Matching ◽  
Autonomous Mobile Robot ◽  
Search Range

Algorithm on real-time map-matching of multi-weight probability

2013 ◽  
Vol 26 (2) ◽  
pp. 166-170
Author(s):  
Yang Li ◽  
Xiaodong Zhang ◽  
Yuanlv Bao
Keyword(s):  
Real Time ◽  
Map Matching ◽  
Time Map

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.

Map Matching for Sparse Automatic Vehicle Identification Data

2021 ◽  
pp. 1-14
Author(s):  
Qi Cao ◽  
Gang Ren ◽  
Dawei Li ◽  
Haojie Li ◽  
Jiangshan Ma
Keyword(s):  
Map Matching ◽  
Vehicle Identification ◽  
Automatic Vehicle Identification

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

Map Matching and Lane Detection Based on Markovian Behavior, GIS, and IMU Data

2020 ◽  
pp. 1-15
Author(s):  
Jens Trogh ◽  
Dick Botteldooren ◽  
Bert De Coensel ◽  
Luc Martens ◽  
Wout Joseph ◽  
...  
Keyword(s):  
Lane Detection ◽  
Map Matching
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