Impact of the Self-Interruption Probability Involving the Anticipation Optimal Velocity on Traffic Stability for Car-Following Theory Under V2X Environment

Impact of the Self-Interruption Probability Involving the Anticipation Optimal Velocity on Traffic Stability for Car-Following Theory Under V2X Environment
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DOI:
10.1109/access.2021.3096737
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发表时间:
2021
期刊:
影响因子:
3.9
通讯作者:
Tong Zhou;Yuxuan Li;G. Peng
Tong Zhou;Yuxuan Li;G. Peng
中科院分区:
计算机科学3区
文献类型:
--
作者:
Tong Zhou;Yuxuan Li;G. Peng

文献摘要

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Traffic interruption is very easy to cause traffic congestion. For the problem of traffic interruption, a novel car-following model in this paper is presented to correct the effect of traffic self-interruption probability with the combination of the anticipation information communication under V2X environment. The stability condition concerning the self-interruption probability correction is acquired via linear analysis. The mKdV equation involving the self-interruption probability correction is deduced from nonlinear analysis. Moreover, numerical simulation demonstrates that the self-interruption probability correction can effectively relieve traffic jam, which agrees with analytical results.