Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding

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, th...

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Main Authors: Dong-wei Xu, Yong-dong Wang, Li-min Jia, Gui-jun Zhang, Hai-feng Guo
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2017/8182690
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author Dong-wei Xu
Yong-dong Wang
Li-min Jia
Gui-jun Zhang
Hai-feng Guo
author_facet Dong-wei Xu
Yong-dong Wang
Li-min Jia
Gui-jun Zhang
Hai-feng Guo
author_sort Dong-wei Xu
collection DOAJ
description 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.
format Article
id doaj-art-d25164773d5b4ae29b4c0fc2c118c408
institution Kabale University
issn 0197-6729
2042-3195
language English
publishDate 2017-01-01
publisher Wiley
record_format Article
series Journal of Advanced Transportation
spelling doaj-art-d25164773d5b4ae29b4c0fc2c118c4082025-02-03T05:50:57ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/81826908182690Compression Algorithm of Road Traffic Spatial Data Based on LZW EncodingDong-wei Xu0Yong-dong Wang1Li-min Jia2Gui-jun Zhang3Hai-feng Guo4College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, ChinaCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaCollege of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, ChinaWide-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.http://dx.doi.org/10.1155/2017/8182690
spellingShingle Dong-wei Xu
Yong-dong Wang
Li-min Jia
Gui-jun Zhang
Hai-feng Guo
Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding
Journal of Advanced Transportation
title Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding
title_full Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding
title_fullStr Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding
title_full_unstemmed Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding
title_short Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding
title_sort compression algorithm of road traffic spatial data based on lzw encoding
url http://dx.doi.org/10.1155/2017/8182690
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AT yongdongwang compressionalgorithmofroadtrafficspatialdatabasedonlzwencoding
AT liminjia compressionalgorithmofroadtrafficspatialdatabasedonlzwencoding
AT guijunzhang compressionalgorithmofroadtrafficspatialdatabasedonlzwencoding
AT haifengguo compressionalgorithmofroadtrafficspatialdatabasedonlzwencoding