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Research on the influence of multiple historical speed information with different weight distribution on traffic flow stability

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  • Mei, Yiru
  • Zhao, Xiaoqun
  • Qian, Yeqing
  • Xu, Shangzhi
  • Li, Zhipeng

Abstract

This paper attempts to study the use of multiple historical speed information of the target vehicle as an auxiliary control strategy for vehicle power output, which is different from other single-data self-stability control modes. We separately study the different weight distributions of historical data with using data completely recorded and part of the using data randomly lost. Then we compare the different coefficient distributions, and find that considering the reversed Poisson distribution of data in driving with complete data recorded is more beneficial to the stability of traffic flow than other distributions, but the traffic flow stability is most easily affected after the data is lost during driving operation. Furthermore, we try to fill the lost data with the remaining recorded data in the case of long-term defects in the use of data, trying to make up for the lack of reversed Poisson weight distribution.

Suggested Citation

  • Mei, Yiru & Zhao, Xiaoqun & Qian, Yeqing & Xu, Shangzhi & Li, Zhipeng, 2021. "Research on the influence of multiple historical speed information with different weight distribution on traffic flow stability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    • Handle: RePEc:eee:phsmap:v:563:y:2021:i:c:s0378437120307639
    DOI: 10.1016/j.physa.2020.125438
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    References listed on IDEAS

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    Cited by:

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