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A Freeway/Expressway Shockwave Elimination Method Based on IoT

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LTLGB 2012

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  • 2 Citations

Abstract

Shockwave is one of the most complex recurrent traffic flow phenomena on freeway/expressway, whose characteristics are not fully understood. With the field data, we compared the driving behaviors (headways and reaction times) before and during the propagation of shockwaves. The drivers seemed to change their driving strategies when they “recognized” a shockwave, thus a Fuzzy Logic based Shockwave Recognition Algorithm was proposed, and last we proposed a shockwave elimination method applying the ideas of the Shockwave Recognition Algorithm and Internet of Things.

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Acknowledgments

This work was supported in part by the Fundamental Research Funds for The Central Universities and The National Natural Science Foundation of China (No. 51108192).

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Authors and Affiliations

  1. South China University of Technology, Guangzhou, 510640, China

    Ling Huang

  2. Tsinghua University, Beijing, China

    Jianping Wu

Authors
  1. Ling Huang
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  2. Jianping Wu
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Corresponding author

Correspondence to Ling Huang .

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Editors and Affiliations

  1. , School of Civil Engineering, Beijing Jiaotong University, Haidian District Shangyuan Cun 3, Beijing, 100044, China, People's Republic

    Feng Chen

  2. , School of Economics and Management, Beijing Jiaotong University, Haidian District Shangyuan Cun 3, Beijing, 100044, China, People's Republic

    Yisheng Liu

  3. , School of Economics and Management, Beijing Jiaotong University, 3 Shangyuancun, Xizhimenwai, Beijing, 100044, China, People's Republic

    Guowei Hua

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Huang, L., Wu, J. (2013). A Freeway/Expressway Shockwave Elimination Method Based on IoT. In: Chen, F., Liu, Y., Hua, G. (eds) LTLGB 2012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34651-4_14

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