Feedback-Based Ramp Metering and Lane-Changing Control With Connected and Automated Vehicles
Feedback-Based Ramp Metering and Lane-Changing Control With Connected and Automated Vehicles
复制标题
联网和自动化车辆基于反馈的坡道计量和变道控制
DOI：
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发表时间：
2020
期刊：
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通讯作者：
M. Papageorgiou
中科院分区：
文献类型：
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作者：
Farzam Tajdari;C. Roncoli;M. Papageorgiou
为了有效地运营未来的交通系统，我们在这里提出了一种新的方法，用于集成变道和匝道控制，利用互联车辆的存在。特别是，我们假设一定比例的车辆可以接收和执行特定的控制任务（例如，车道变换命令），而匝道控制可通过基于基础设施的系统或联网车辆实现。所提出的方法的目的是鲁棒性最大限度地提高吞吐量在高速公路瓶颈采用反馈控制器，制定为线性二次积分调节器，这是基于一个简化的线性时不变交通流模型。我们还提出了一个极值寻求算法来计算最佳的反馈控制器中使用的设定点，只采用的成本是代表实现的交通状况的测量。该方法通过模拟实验进行评估，一阶，多车道，宏观交通流模型上进行，也具有容量下降的现象，这使得可以证明所开发的方法的有效性，并突出所产生的拥堵方面的改善。
Aiming at operating effectively future traffic systems, we propose here a novel methodology for integrated lane-changing and ramp metering control that exploits the presence of connected vehicles. In particular, we assume that a percentage of vehicles can receive and implement specific control tasks (e.g., lane-changing commands), while ramp metering is available via an infrastructure-based system or enabled by connected vehicles. The proposed approach is designed to robustly maximise the throughput at motorway bottlenecks employing a feedback controller, formulated as a Linear Quadratic Integral regulator, which is based on a simplified linear time invariant traffic flow model. We also present an extremum seeking algorithm to compute the optimal set-points used in the feedback controller, employing only the measurement of a cost that is representative of the achieved traffic conditions. The method is evaluated via simulation experiments, performed on a first-order, multi-lane, macroscopic traffic flow model, also featuring the capacity drop phenomenon, which allows to demonstrate the effectiveness of the developed methodology and to highlight the improvement in terms of the generated congestion.