Modeling and Simulation of Heterogeneous Traffic Flow in the Vicinity of Intersections Considering Communication Delay

Yuchu He, Zhijuan Jia, Yage Cheng, Zhe Li, Lipeng Wang, Junjun Fu
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Abstract

With the rapid development and application of vehicle communication technology and autonomous driving technology, the traffic flow of freeways and urban roads will inevitably change from traditional traffic flow (all vehicles are controlled by human drivers) to heterogeneous traffic flow (including CACC and other autonomous vehicles). At present, in the field of heterogeneous traffic flow, scholars mostly take modeling and simulation as the means to study the impact of heterogeneous flow in the freeway scene, but few studies discuss the impact of heterogeneous traffic flow on urban roads, especially in the scene of signal control area. In view of this, taking the IDM model as the traditional traffic flow model and the ACC model proposed by University of California at Berkeley as an automatic driving model, this paper builds a heterogeneous traffic flow model in the vicinity of intersections at the background of typical urban traffic scene ˈand also preliminary explore the influence mechanism of the mix of autopilot on the traffic flow in the signal control area through simulation experiments , which can provide reference for the development and application of automatic driving technology.
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考虑通信延迟的交叉口附近异构交通流建模与仿真
随着车辆通信技术和自动驾驶技术的快速发展和应用,高速公路和城市道路的交通流将不可避免地从传统的交通流(所有车辆都由人类驾驶员控制)转变为异构交通流(包括CACC和其他自动驾驶车辆)。目前,在异构交通流领域,学者多以建模和仿真为手段研究高速公路场景中异构交通流的影响,但很少有研究讨论异构交通流对城市道路的影响,特别是在信号控制区场景中。鉴于此,本文以IDM模型为传统交通流模型,以美国加州大学伯克利分校提出的ACC模型为自动驾驶模型,以典型城市交通场景为背景,构建了交叉口附近的异构交通流模型,并通过仿真实验初步探讨了混合自动驾驶对信号控制区交通流的影响机制。可为自动驾驶技术的发展和应用提供参考。
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