An optimization model for the transportation network with hierarchical structure: the case of China Post

Wang, Yong; Zhang, Zhiqiang; Liu, Dong

doi:10.1007/s12652-019-01446-4

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…Studies [3][4][5][6] have shown that, without compression and at 10-s collection intervals, 100 megabytes (MB) are stored for every 400 objects in a single day. Longer-term studies highlight that if you collect movement data from 10,000 users based on their geographic position every 15 s, you generate more than 50 million data per day and approximately 20 trillion data per year [7][8][9].…”

Section: Related Workmentioning

confidence: 99%

Batch Simplification Algorithm for Trajectories over Road Networks

Reyes,

Estrada,

Tolozano-Benites

et al. 2023

IJGI

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The steady increase in data generation by GPS systems poses storage challenges. Previous studies show the need to address trajectory compression. The demand for accuracy and the magnitude of data require effective compression strategies to reduce storage. It is posited that the combination of TD-TR simplification, Kalman noise reduction, and analysis of road network information will improve the compression ratio and margin of error. The GR algorithm is developed, integrating noise reduction and path compression techniques. Experiments are applied with trajectory data sets collected in the cities of California and Beijing. The GR algorithm outperforms similar algorithms in compression ratio and margin of error, improving storage efficiency by up to 89.090%. The combination of proposed techniques presents an efficient solution for GPS trajectory compression, allowing to improve storage in trajectory analysis applications.

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Section: Related Workmentioning

confidence: 99%

Batch Simplification Algorithm for Trajectories over Road Networks

Reyes,

Estrada,

Tolozano-Benites

et al. 2023

IJGI

View full text Add to dashboard Cite

show abstract

“…Wang et al's paper entitled "An optimization model for the transportation network with hierarchical structure: the case of China Post" (Wang et al 2019) focuses on the vehicle routing problem of China Post Group with time windows (VRP CPG TW). The authors established a three-level hub model, including the determination of the number, location of hubs and their service area, and the routes between hubs and local post office.…”

Section: Contributions Of This Special Issuementioning

confidence: 99%