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首页> 外文期刊>Modern Physics Letters, B. Condensed Matter Physics, Statistical Physics, Applied Physics >Traffic stability of a car-following model considering driver's desired velocity
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Traffic stability of a car-following model considering driver's desired velocity

机译:考虑驾驶员期望速度的跟车模型的交通稳定性

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摘要

In this paper, a new car-following model is proposed by considering driver's desired velocity according to Transportation Cyber Physical Systems. The effect of driver's desired velocity on traffic flow has been investigated through linear stability theory and nonlinear reductive perturbation method. The linear stability condition shows that driver's desired velocity effect can enlarge the stable region of traffic flow. From nonlinear analysis, the Burgers equation and mKdV equation are derived to describe the evolution properties of traffic density waves in the stable and unstable regions respectively. Numerical simulation is carried out to verify the analytical results, which reveals that traffic congestion can be suppressed efficiently by taking driver's desired velocity effect into account.
机译:在本文中,根据运输网络物理系统,通过考虑驾驶员的期望速度,提出了一种新的跟车模型。通过线性稳定性理论和非线性还原扰动方法研究了驾驶员期望速度对交通流量的影响。线性稳定性条件表明驾驶员期望的速度效应可以扩大交通流的稳定区域。通过非线性分析,分别推导了Burgers方程和mKdV方程,分别描述了稳定区和不稳定区交通密度波的演化特性。通过数值模拟验证了分析结果,结果表明,通过考虑驾驶员的期望速度影响,可以有效地抑制交通拥堵。

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