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A Dynamic Travel Time Estimation Model Based on Connected Vehicles

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  • Daxin Tian
  • Yong Yuan
  • Honggang Qi
  • Yingrong Lu
  • Yunpeng Wang
  • Haiying Xia
  • Anping He

Abstract

With advances in connected vehicle technology, dynamic vehicle route guidance models gradually become indispensable equipment for drivers. Traditional route guidance models are designed to direct a vehicle along the shortest path from the origin to the destination without considering the dynamic traffic information. In this paper a dynamic travel time estimation model is presented which can collect and distribute traffic data based on the connected vehicles. To estimate the real-time travel time more accurately, a road link dynamic dividing algorithm is proposed. The efficiency of the model is confirmed by simulations, and the experiment results prove the effectiveness of the travel time estimation method.

Suggested Citation

  • Daxin Tian & Yong Yuan & Honggang Qi & Yingrong Lu & Yunpeng Wang & Haiying Xia & Anping He, 2015. "A Dynamic Travel Time Estimation Model Based on Connected Vehicles," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-11, October.
    • Handle: RePEc:hin:jnlmpe:903962
    DOI: 10.1155/2015/903962
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