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A New Feature Evaluation Algorithm and Its Application to Fault of High-Speed Railway Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Research and Application of Traffic Visualization Based on Vehicle GPS Big Data

Authors : Xin Wang, Shuxu Zhao, Liang Dong

Published in: Proceedings of the Second International Conference on Intelligent Transportation

Publisher: Springer Singapore

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Abstract

GPS data of vehicle on the road can reflect the actual road status, its analysis can be help to urban road planning, but the multi-source, mass and high dimension features of GPS big data has restricted its application for road traffic. Aiming that, a GPS big data visual computation architecture has been design in this paper, speed attribute and two-pass corner detection has been introduce to improve map matching and clustering analysis methods. Vehicle GPS data of Zibo city has been selected as the case, the relevant result shows that the improved methods can be effective and visual, and can get a better effect than flow map method for vehicle GPS big data processing.

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Metadata
Title
Research and Application of Traffic Visualization Based on Vehicle GPS Big Data
Authors
Xin Wang
Shuxu Zhao
Liang Dong
Copyright Year
2017
Publisher
Springer Singapore
Book
Proceedings of the Second International Conference on Intelligent Transportation

Print ISBN: 978-981-10-2397-2

Electronic ISBN: 978-981-10-2398-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-2398-9_27

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