Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding
Joint Authors
Jia, Limin
Xu, Dong-wei
Wang, Yong-dong
Zhang, Gui-jun
Guo, Hai-feng
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-16
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Wide-ranging applications of road traffic detection technology in road traffic state data acquisition have introduced new challenges for transportation and storage of road traffic big data.
In this paper, a compression method for road traffic spatial data based on LZW encoding is proposed.
First, the spatial correlation of road segments was analyzed by principal component analysis.
Then, the road traffic spatial data compression based on LZW encoding is presented.
The parameters determination is also discussed.
Finally, six typical road segments in Beijing are adopted for case studies.
The final results are listed and prove that the road traffic spatial data compression method based on LZW encoding is feasible, and the reconstructed data can achieve high accuracy.
American Psychological Association (APA)
Xu, Dong-wei& Wang, Yong-dong& Jia, Limin& Zhang, Gui-jun& Guo, Hai-feng. 2017. Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1170997
Modern Language Association (MLA)
Xu, Dong-wei…[et al.]. Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding. Journal of Advanced Transportation No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1170997
American Medical Association (AMA)
Xu, Dong-wei& Wang, Yong-dong& Jia, Limin& Zhang, Gui-jun& Guo, Hai-feng. Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1170997
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170997