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Traffic control via moving bottleneck of coordinated vehicles

机译:通过协调车辆的移动瓶颈进行交通控制

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We investigate the possibility of properly controlling a given vehicle to improve overall traffic flow. The system is described by a micro-macro model taking into account the interactions of the vehicle with the surrounding traffic. We state an optimal control problem using the maximal speed of the coordinated vehicle as control variable. More precisely, we use the MPC (Model Predictive Control) approach to get a fuel consumption reduction when the traffic is congested due to the presence of a fixed downstream bottleneck on the highway. In addition we show that the control application also improves the average travel time and queue length. The concept illustrated in this paper suggests innovative future traffic control approaches. Indeed the perspective of exploiting controlled vehicles to regulate the traffic flow is particularly attractive given the expected increasing penetration rate of autonomous vehicles in traffic networks in future years.
机译:我们研究了适当控制给定车辆以改善总体交通流量的可能性。考虑到车辆与周围交通的相互作用,该系统由微宏模型描述。我们以协调车辆的最大速度为控制变量来陈述一个最优控制问题。更准确地说,当由于高速公路上存在固定的下游瓶颈而导致交通拥堵时,我们使用MPC(模型预测控制)方法来降低燃油消耗。此外,我们证明了控制应用程序还改善了平均行程时间和队列长度。本文阐述的概念提出了创新的未来交通控制方法。的确,考虑到未来几年自动驾驶汽车在交通网络中的渗透率有望提高,利用受控车辆调节交通流量的观点尤其有吸引力。

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