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An efficient heterogeneous platoon dispersion model for real-time traffic signal control

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Listed:
  • Yao, Zhihong
  • Zhao, Bin
  • Qin, Lingqiao
  • Jiang, Yangsheng
  • Ran, Bin
  • Peng, Bo

Abstract

In China, urban arterial traffic presents a heterogeneous flow feature because of a high proportion of buses. Existing research on heterogeneous platoon dispersion models is very complex, which are not suitable for real-time signal timing optimization. Considering the classic Robertson’s model has a simple form and high computation efficiency, an efficient heterogeneous platoon dispersion model is proposed based on Robertson’s model. Firstly, the classic Robertson’s model is used to capture different homogeneous platoon dispersion features. Then, these classic Robertson’s models for homogeneous traffic flow are superposed to capture the characteristic of heterogeneous traffic flow. Finally, based on field observations, the performance of the proposed model, the classic Robertson’s model, and the mixed Gaussian model are compared. The results show that the proposed model has a better prediction accuracy and higher computational efficiency, compared with the classic Robertson’s model and the mixed Gaussian model. It is noteworthy that the proposed model not only better describes the dispersion feature of heterogeneous traffic flow but also meets the requirement of real-time signal control.

Suggested Citation

  • Yao, Zhihong & Zhao, Bin & Qin, Lingqiao & Jiang, Yangsheng & Ran, Bin & Peng, Bo, 2020. "An efficient heterogeneous platoon dispersion model for real-time traffic signal control," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
  • Handle: RePEc:eee:phsmap:v:539:y:2020:i:c:s0378437119316863
    DOI: 10.1016/j.physa.2019.122982
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    References listed on IDEAS

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    1. Xu, Xinpeng & Tao, Hongfei & Wu, Weiguo & Liu, Song, 2023. "An instant discovery method for companion vehicles based on incremental and parallel calculation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).

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