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Analyses of self-stabilizing control strategy effect in macroscopic traffic model by utilizing historical velocity data

机译:利用历史速度数据分析宏观交通模型中的自稳定控制策略效果

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In recent years, more and more scholars tend to use vehicle information to achieve traffic flow stability in the study of micro traffic flow. Any change of the micro-control mode can also have an important impact on macro traffic flow. In order to study the effect of self-stabilizing on macroscopic traffic flow, a new continuum traffic flow model is proposed in this paper. By utilizing the historical speed of each vehicle itself, we discuss the stability of macro traffic flow to clarify the impact of the self-stabilizing control strategy of historical speed on the macro traffic flow. Through both linear and nonlinear analysis, it is found that the self-stabilizing control effect can play a significant stabilizing role on macro traffic flow which can be proved by simulations. In addition, we also investigated the impact of the speed self-stabilizing control mode on other properties of macro traffic flow such as shock-wave propagation patterns with such good performance in the simulation. Meanwhile, we discuss the fuel consumption and emissions carried out by the self-stabilizing control strategy effect. It indicates that the self-stabilizing control strategy in macroscopic traffic flow not only can ease the traffic congestion but also can reduce the harm caused by the fuel consumption and emissions to the environment. (C) 2019 Elsevier B.V. All rights reserved.
机译:近年来,越来越多的学者倾向于在微观交通流的研究中利用车辆信息来实现交通流的稳定性。微控制模式的任何更改也会对宏流量产生重要影响。为了研究自稳定对宏观交通流量的影响,提出了一种新的连续交通流量模型。通过利用每辆车本身的历史速度,我们讨论了宏观交通流量的稳定性,以阐明历史速度的自稳定控制策略对宏观交通流量的影响。通过线性和非线性分析,发现自稳定控制效果可以对宏观交通流量起到显着的稳定作用,这可以通过仿真得到证明。此外,我们还研究了速度自稳定控制模式对宏流量的其他属性(如冲击波传播模式)的影响,在仿真中具有如此好的性能。同时,我们讨论了通过自稳定控制策略效果进行的燃油消耗和排放。这表明宏观交通流量中的自稳定控制策略不仅可以缓解交通拥堵,而且可以减少油耗和对环境排放的危害。 (C)2019 Elsevier B.V.保留所有权利。

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