The Research on Real-Time Map-Matching Algorithm

2012 ◽  
Author(s):  
Li Yang ◽  
Zhang Ke ◽  
Li Tan ◽  
Liu Jiabin
Keyword(s):  
Real Time ◽  
Map Matching ◽  
Matching Algorithm ◽  
Time Map

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

An enhanced weight-based real-time map matching algorithm for complex urban networks

2019 ◽  
Vol 534 ◽  
pp. 122318 ◽  
Author(s):  
Mujun He ◽  
Linjiang Zheng ◽  
Wei Cao ◽  
Jing Huang ◽  
Xu Liu ◽  
...  
Keyword(s):  
Real Time ◽  
Map Matching ◽  
Matching Algorithm ◽  
Urban Networks ◽  
Time Map

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

Accurate Real-time Map Matching for Challenging Environments

2017 ◽  
Vol 18 (4) ◽  
pp. 847-857 ◽  
Author(s):  
Reham Mohamed ◽  
Heba Aly ◽  
Moustafa Youssef
Keyword(s):  
Real Time ◽  
Map Matching ◽  
Time Map

A Virtual Differential Map-Matching Algorithm with Improved Accuracy and Computational Efficiency

2008 ◽  
Vol 61 (3) ◽  
pp. 421-434 ◽  
Author(s):  
Hongchao Liu ◽  
Hao Xu ◽  
H. Scott Norville ◽  
Yuanlu Bao
Keyword(s):  
Real Time ◽  
Computational Efficiency ◽  
Real Life ◽  
Map Matching ◽  
Matching Algorithm ◽  
Matching Process ◽  
Map Errors ◽  
Improved Accuracy ◽  
The City ◽  
Vehicle Movement

This paper presents development and application of a real-time virtual differential map-matching approach which makes use of the slow drifting property of the GPS errors and the continuous and gradual evolving characteristic of map errors to improve the accuracy and computational efficiency. A differential vector is created to approximate the real-time deviation, which is corrected continuously along with the vehicle movement during the map-matching process. Real-life application of the algorithm to the City of Hefei, a metropolis of China, shows that it corrects both GPS errors and digital map errors reasonably well with improved computational efficiency.

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