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Journal of Advanced Transportation
Volume 2017, Article ID 8182690, 13 pages
https://doi.org/10.1155/2017/8182690
Research Article

Compression Algorithm of Road Traffic Spatial Data Based on LZW Encoding

1College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
2United Key Laboratory of Embedded System of Zhejiang Province, Hangzhou 310023, China
3State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

Correspondence should be addressed to Dong-wei Xu; nc.ude.tujz@uxiewgnod

Received 20 October 2016; Revised 19 December 2016; Accepted 10 January 2017; Published 16 February 2017

Academic Editor: Xiaolei Ma

Copyright © 2017 Dong-wei Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.