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The Research and Application of Multi-Resource Heterogeneous Data Fusion on Dynamic Traffic Routing System

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Foundations and Practical Applications of Cognitive Systems and Information Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 215))

Abstract

Traffic data is the basis of Intelligent Transportation Systems (ITS). It is the key problem that how to fuse and share multi-resource heterogeneous data to provide comprehensive traffic information for ITS. This paper takes the Dynamic Traffic Routing System of Nanning City of China as example, multi-resource heterogeneous data fusion model is proposed, multi-resource heterogeneous database is generated, and then the GPS, Loop, and Video data are fused. The fusion results provide comprehensive traffic information for Dynamic Traffic Routing System and Traveler. Finally, the effectiveness of the proposed model was validated by the Dynamic Traffic Routing System of Nanning.

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References

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Author information

Authors and Affiliations

  1. Department of Information Engineering, Yunnan Land and Resources Vocational College, Kunming, China

    Youli Ren, Depin Peng & Yuan Zhou

  2. School of Civil Engineering, Tsinghua University, Beijing, China

    Jianping Wu

Authors
  1. Youli Ren
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  2. Depin Peng
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  3. Jianping Wu
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  4. Yuan Zhou
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Corresponding author

Correspondence to Depin Peng .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, People's Republic of China

    Fuchun Sun

  2. College of Mechatronics and Automation, National University of Defense Technolog, Changsha, People's Republic of China

    Dewen Hu

  3. Department of Computer Science and Techn, Tsinghua University, Beijing, People's Republic of China

    Huaping Liu

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© 2014 Springer-Verlag Berlin Heidelberg

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Ren, Y., Peng, D., Wu, J., Zhou, Y. (2014). The Research and Application of Multi-Resource Heterogeneous Data Fusion on Dynamic Traffic Routing System. In: Sun, F., Hu, D., Liu, H. (eds) Foundations and Practical Applications of Cognitive Systems and Information Processing. Advances in Intelligent Systems and Computing, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37835-5_33

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  • DOI: https://doi.org/10.1007/978-3-642-37835-5_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37834-8

  • Online ISBN: 978-3-642-37835-5

  • eBook Packages: EngineeringEngineering (R0)

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