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Improving traffic efficiency during yellow lights using connected vehicles

Author

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  • Du, Mengxiao
  • Liu, Jiahui
  • Chen, Qun

Abstract

Whether to go or stop at the onset of a yellow light is a dilemma. Drivers like to go but choose to stop for fear of safety. Mixing connected vehicles (CVs) in flow can improve traffic passing rate. A cellular automata model for the stop/go decision-making processes of manual vehicles (MVs) and CVs is developed considering various practical factors including interactions between CVs and MVs. Results of simulations show that the passing rate keeps increasing with the penetration rate p of CVs but the throughput drops after reaching the maximum at p=0.6 due to decrease in the vehicles affected by the yellow light. Besides, sequences with more concentrated CVs produce higher passing rates. The magnitude of incoming flow also has a substantial impact on the passing rate. Moderate incoming flows bring about high passing rates while low passing rates occur for light flows on account of weak traffic interactions and for heavy flows because of high density and low velocity.

Suggested Citation

  • Du, Mengxiao & Liu, Jiahui & Chen, Qun, 2021. "Improving traffic efficiency during yellow lights using connected vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
    • Handle: RePEc:eee:phsmap:v:578:y:2021:i:c:s0378437121003812
    DOI: 10.1016/j.physa.2021.126108
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    References listed on IDEAS

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