Impact of the Self-Interruption Probability Involving the Anticipation Optimal Velocity on Traffic Stability for Car-Following Theory Under V2X Environment
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 e...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9483876/ |
Summary: | 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. |
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ISSN: | 2169-3536 |