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A Freeway/Expressway Shockwave Elimination Method Based on IoT

In: Ltlgb 2012

Author

Listed:
  • Ling Huang

    (South China University of Technology)

  • Jianping Wu

    (Tsinghua University)

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.

Suggested Citation

  • Ling Huang & Jianping Wu, 2013. "A Freeway/Expressway Shockwave Elimination Method Based on IoT," Springer Books, in: Feng Chen & Yisheng Liu & Guowei Hua (ed.), Ltlgb 2012, edition 127, chapter 0, pages 51-57, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-34651-4_14
    DOI: 10.1007/978-3-642-34651-4_14
    as

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