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Dynamic Traffic Information Estimation Based on Floating Car Data

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Advances in Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 128))

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Abstract

The road traffic information changed by authority frequently which effect the public travel due to they can’t obtain this information timely. Fortunately the floating car data can be used to analyze and estimate such traffic information timely. This work first proposed an advanced map matching method combined both local and global road map information. Second we presented an automatic algorithm based on the substance of road intersection to estimate the road traffic control information in real time. We take the floating car data of Fuzhou city to verify the efficient of our method. Experiments result indicates that the traffic information on intersection can be estimated accurately.

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Acknowledgments

This work is supported Fujian Provincial Department of Science and Technology, Granted No. 2014H0008, No. 2017J01729, 2017J0106.

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Authors and Affiliations

  1. Fujian Province Key Laboratory of Automotive Electronics and Electric Drive, Fujian University of Technology, Fuzhou, 350108, China

    Xiang Xu & Rong Hu

Authors
  1. Xiang Xu
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  2. Rong Hu
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Corresponding author

Correspondence to Rong Hu .

Editor information

Editors and Affiliations

  1. College of Physics and Energy, Fujian Normal University, Fuzhou, Fujian, China

    Yong Zhao

  2. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Tsu-Yang Wu

  3. School of Transportation, Fujian University of Technology, Fuzhou, Fujian, China

    Tang-Hsien Chang

  4. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  5. University of Technology Sydney, Sydney, NSW, Australia

    Lakhmi C. Jain

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Xu, X., Hu, R. (2019). Dynamic Traffic Information Estimation Based on Floating Car Data. In: Zhao, Y., Wu, TY., Chang, TH., Pan, JS., Jain, L. (eds) Advances in Smart Vehicular Technology, Transportation, Communication and Applications. VTCA 2018. Smart Innovation, Systems and Technologies, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-030-04585-2_15

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