Based on the GPS Terminal Highly Dependent on the Efficient Processing of Large Data Upstream and Downstream Data

Author:

Liu Fangming,Fu Yichang

Publisher

Springer Singapore

Reference16 articles.

1. Tang, Jinjun, Shen Zhang, and Yajie Zou. 2017. An adaptive map-matching algorithm based on hierarchical fuzzy system from vehicular GPS data[J]. PLoS ONE 12 (12): 188–196.

2. Sharma, Kanta Prasad, Ramesh C. Pooniaa, and Surendra Sunda. 2018. Map matching algorithm: curve simplification for Frechet distance computing and precise navigation on road network using RTKLIB. Cluster Computing, 56 (2): 1–9.

3. Dong, F. Zhang. 2018. Single car travel time estimation based on running state of low frequency floating car at intersections. Journal of Geomatics, 43 (3): 28–32.

4. Hsueh, Yu-Ling, and Ho-Chian Chen. 2017. Map matching for low-sampling-rate GPS trajectories by exploring real-time moving directions. Information Sciences 433–434: 55–69.

5. Boucher, C., and J.C. Noyer. 2018. A general framework for 3-D parameters estimation of roads using GPS, OSM and DEM data, 18 (1): 41.

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