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 ◽  
...  
2019 ◽  
Vol 534 ◽  
pp. 122318 ◽  
Author(s):  
Mujun He ◽  
Linjiang Zheng ◽  
Wei Cao ◽  
Jing Huang ◽  
Xu Liu ◽  
...  

Author(s):  
Yohee Han ◽  
Youngchan Kim ◽  
Jisun Ku ◽  
Yeonghun Jung ◽  
Jeongrae Roh

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

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

Author(s):  
Wenbo Mei ◽  
Ruochen Fang ◽  
Haihua Han ◽  
Xiaoguang Wang ◽  
Hongyu Wang

2012 ◽  
Vol 457-458 ◽  
pp. 1213-1218 ◽  
Author(s):  
Zhen Xing Zhu ◽  
Jian Ping Xing ◽  
De Qiang Wang

Current map-matching algorithms consider more about the common plain road networks. The overpass always be ignored or treated as normal intersection without considering its complex topological structure. In order to fill this gap in map-matching area, the POMM (Precise Overpass Map-matching Model and Algorithm) is proposed in this paper. A novel overpass model is built for the overpasses map-matching algorithm. This model divided the overpass into straight roads and curve ones which consist of a set of directional points. According to the match degree for each straight road or directional point, the optimum road can be selectd from the candidate roads. Finally, the vehicle can be matched to the actual position on the optimum road. Experiment results of Jinan Bayi overpass using the actual GPS data shows that the algorithm has efficiency in accuracy (over 95%) and can precisely find the actual position of the vehicle in the overpass road, especially for the curve roads.


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