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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镇静控制策略效应

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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利用车辆信息来实现微交通流程研究中的交通流动稳定性。微控制模式的任何变化也可能对宏交通流量产生重要影响。为了研究自稳定对宏观交通流量的影响,本文提出了一种新的连续性交通流量模型。通过利用每辆车本身的历史速度,我们讨论了宏交通流量的稳定性,以澄清历史速度的自稳压控制策略对宏交通流量的影响。通过线性和非线性分析,发现自稳定控制效果可以在宏交通流量上发挥显着的稳定作用,这可以通过模拟证明。此外,我们还调查了速度自稳定控制模式对宏交通流量的其他性质的影响,例如在模拟中具有如此良好的性能的冲击波传播模式。同时,我们讨论了自我稳定控制策略效应进行的燃料消耗和排放。它表明,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,而且可以减少对环境的燃料消耗和排放引起的危害。 (c)2019 Elsevier B.v.保留所有权利。

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