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Instability of cooperative adaptive cruise control traffic flow: A macroscopic approach

机译:协同自适应巡航控制交通流的不稳定性:一种宏观方法

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This paper proposes a macroscopic model to describe the operations of cooperative adaptive cruise control (CACC) traffic flow, which is an extension of adaptive cruise control (ACC) traffic flow. In CACC traffic flow a vehicle can exchange information with many preceding vehicles through wireless communication. Due to such communication the CACC vehicle can follow its leader at a closer distance than the ACC vehicle. The stability diagrams are constructed from the developed model based on the linear and nonlinear stability method for a certain model parameter set. It is found analytically that CACC vehicles enhance the stabilization of traffic flow with respect to both small and large perturbations compared to ACC vehicles. Numerical simulation is carried out to support our analytical findings. Based on the nonlinear stability analysis, we will show analytically and numerically that the CACC system better improves the dynamic equilibrium capacity over the ACC system. We have argued that in parallel to microscopic models for CACC traffic flow, the newly developed macroscopic will provide a complete insight into the dynamics of intelligent traffic flow.
机译:本文提出了一个宏观模型来描述协同自适应巡航控制(CACC)交通流的运行,这是自适应巡航控制(ACC)交通流的扩展。在CACC交通流中,车辆可以通过无线通信与许多先前的车辆交换信息。由于这种通信,CACC车辆可以跟随其领导者比ACC车辆更近的距离。根据线性模型和非线性稳定性方法,针对特定模型参数集,根据所开发的模型构造稳定性图。从分析上发现,与ACC车辆相比,CACC车辆在小扰动和大扰动方面都增强了交通流量的稳定性。进行数值模拟以支持我们的分析结果。基于非线性稳定性分析,我们将在分析和数值上证明CACC系统比ACC系统具有更好的动态平衡能力。我们认为,与CACC交通流的微观模型并行的是,新开发的宏观模型将提供对智能交通流动态的完整了解。

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