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A Dynamic Traffic Data Visualization System with OpenStreetMap

  • Wei SongEmail author
  • Jiaxue Li
  • Yifei Tian
  • Simon Fong
  • Wei Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 393)

Abstract

This paper proposes a dynamic traffic data visualization system with OpenStreetMap (OSM). The system connects server database to client web browser by a Transmission Control Protocol/Internet Protocol (TCP/IP) to access remote traffic data. In order to reduce the computation consumption of the server, the traffic estimation and prediction from large datasets is analyzed in the client. We implement a Graphic Processing Unit (GPU) programming technology to implement the data mining process in parallel for real-time approach. To provide an intuitive interface to the users, the system renders the data mining results with the OSM mid-ware, which provides geographic data of the world.

Keywords

Traffic visualization TCP/IP GPU programming Data mining Openstreetmap 

Notes

Acknowledgment

This research was supported by the National Natural Science Foundation of China (61503005), and by SRF for ROCS, SEM.

References

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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  • Wei Song
    • 1
    Email author
  • Jiaxue Li
    • 1
  • Yifei Tian
    • 1
  • Simon Fong
    • 2
  • Wei Wang
    • 3
  1. 1.Department of Digital Media TechnologyNorth China University of TechnologyBeijingChina
  2. 2.Department of Computer and Information ScienceUniversity of MacauMacauChina
  3. 3.Guangdong Electronic Industry InstituteDongguanChina

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