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Real-Time Estimation of Road Traffic Speeds from Cell-Based Vehicle Trajectories

  • Xiaoxiao Sun
  • Dongjin YuEmail author
  • Sai Liao
  • Wanqing Li
  • Chengbiao Zhou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11434)

Abstract

This paper presents a novel approach for urban road networks to estimate traffic speeds using vehicle trajectories captured by detectors on transportation cells. By scanning and analyzing dynamic traffic streams of passing-vehicles, we calculate the real-time traffic speed of road segment separated by adjacent detectors, which are further synthesized to present the traffic speed of whole road. Compared to driving routes data with limited coverage or floating GPS data with occasional missing that are both frequently utilized for traditional road speed estimation, our approach utilizes the full coverage detector data and is proved to have more accurate and reliable results in its application for two large cities of China. An analysis and visualization system was hence developed, whose successful operation in several transportation departments indicated the efficiency of our approach. It helps to guide travelers the optimal driving routes, which greatly relieves the huge traffic stress of city road.

Keywords

Traffic trajectory Transportation cells Traffic speed Speed estimation 

Notes

Acknowledgments

The work is supported by National Natural Science Foundation of China (No. 61472112, No. 61702144), Key Science and Technology Project of Zhejiang Province (No. 2017C01010), and Natural Science Foundation of Zhejiang Province (No. LY12F02003).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Xiaoxiao Sun
    • 1
  • Dongjin Yu
    • 1
    Email author
  • Sai Liao
    • 1
  • Wanqing Li
    • 1
  • Chengbiao Zhou
    • 2
  1. 1.School of Computer Science and TechnologyHangzhou Dianzi UniversityHangzhouChina
  2. 2.Hangzhou Trustway Technology Company LimitedHangzhouChina

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