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首页> 外文会议>2012 IEEE International Conference on Vehicular Electronics and Safety >Model Predictive Control system design for car-following behavior in real traffic flow
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Model Predictive Control system design for car-following behavior in real traffic flow

机译：实际交通中跟车行为的模型预测控制系统设计

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The control of car following is essential due to its safety and its operational efficiency. For this purpose, this paper employs a linear and continuous model of car following and presents a Model Predictive Control (MPC) controller. An important advantage of this type of control is its ability to cope with constraints on controls. Since safety and operational efficiency are constraints for car following, therefore we have recruited this type of controller in this study to deal with these constraints. Based on the relative distance and relative acceleration of each instant, the MPC predicts the future behavior of the leader vehicle (LV) and according to this behavior, the acceleration of the follower vehicle (FV) is controlled. The MPC tries to control this acceleration in a way to keep the relative distance at a safe region. To investigate the performance of the designed controller, the result of the system is compared with the behavior of real drivers with similar initial conditions. The simulation results show that the MPC controller has a behavior much safer than that of real drivers and it can provide a pleasant trip for passengers.
机译：由于其安全性和操作效率，对跟随器的控制至关重要。为此，本文采用了汽车跟随的线性连续模型，并提出了模型预测控制（MPC）控制器。这种控件的一个重要优点是它具有应付控件约束的能力。由于安全性和运行效率是汽车追随性的制约因素，因此我们在本研究中招募了这种类型的控制器来应对这些制约因素。基于每个时刻的相对距离和相对加速度，MPC预测领导车辆（LV）的未来行为，并根据此行为来控制跟随车辆（FV）的加速度。 MPC尝试以某种方式控制此加速度，以将相对距离保持在安全区域。为了研究所设计控制器的性能，将系统结果与具有相似初始条件的实际驱动器的行为进行了比较。仿真结果表明，MPC控制器的行为比实际驾驶员要安全得多，并且可以为乘客提供愉快的旅程。

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