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A Macroscopic Model of Heterogeneous Traffic Flow Based on the Safety Potential Field Theory

机译:基于安全潜在场理论的异构交通流量宏观模型

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The macroscopic traffic flow model is the cornerstone of traffic flow theory and can be applied to investigate manytraffic planning and management issues. However, the macroscopic model of the heterogeneous traffic flow has not been profoundly studied. This paper developed a novel macroscopic model of the heterogeneous traffic flow under a partly connected and automated environment based on the safety potential field (SPF) theory. The SPF model was applied to describe the microscopic driving behaviour of traditional human-driven vehicles (HVs) and connected and automated vehicles (CAVs). A fundamental diagram (FD) model was derived according to the correlation with the microscopic car-following model under a steady-state condition. To verify the correlation between the FD and the microscopic simulation results, a Monte-Carlo-simulation was also performed. Finally, the macroscopic model of the heterogeneous traffic flow was validated through a simulation on a road section with a bottleneck under different CAVs market penetration rates ranging from 0.0 to 1.0. The results indicate that introducing the CAVs into the pure traffic flow of HVs may slightly have a negligible impact on road capacity when the CAVs penetration rate at a lower level, but the impact increases significantly as the CAVs penetration rate increased.
机译:宏观交通流量模型是交通流理论的基石,可应用于调查多牵引规划和管理问题。然而,异质交通流量的宏观模型并未深入研究。本文在基于安全势领域(SPF)理论的部分连接和自动化环境下,开发了一种新的异构交通流量的宏观模型。应用SPF模型来描述传统人体驱动车辆(HVS)和连接和自动车辆(CAV)的显微驾驶行为。根据稳态条件下的与微观车辆跟踪模型的相关性导出基本图(FD)模型。为了验证FD和微观模拟结果之间的相关性,还执行了Monte-Carlo模拟。最后,通过在路段上的仿真验证了异构交通流量的宏观模型,其不同距离的瓶颈在0.0至1.0的不同距离市场渗透率。结果表明,当潮流渗透率处于较低水平时,将脉冲流入HVS的纯交通流量可能略有可忽略不计的道路容量,但随着潮流渗透率的增加,冲击显着增加。

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