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Multi-Vehicle Coordination and Real-time Control of Connected and Automated Vehicles at Roundabouts

机译:环形交叉路口连接和自动车辆的多车辆协调和实时控制

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Connectivity and automation enable vehicles to transfer crucial driving data and information to improve performance and safety. This paper proposes a nonlinear model predictive control (NMPC) control approach to address the problem of decentralized coordination of vehicles at roundabouts. A priority calculation logic is proposed and its performance is tested for different scenarios. We use simulations to test the controller and the Toyota Prius PHEV high-fidelity model is used in this paper for simulations. Simulation results show the proposed approach can determine priorities and improve performance. Also, results show that the addition of energy economy to the performance index can improve the fuel consumption of the vehicle. One of the major concerns in designing a controller for automotive applications is real-time implementation. The results of hardware-in-the-loop experiments show the real-time implementation of the controller.
机译:连接和自动化使车辆能够转移关键的驾驶数据和信息以提高性能和安全性。本文提出了一种非线性模型预测控制(NMPC)控制方法来解决环形交叉路口的车辆分散协调问题。提出了优先级计算逻辑,并对不同方案测试其性能。我们使用模拟来测试控制器,并在本文中使用丰田Prius Phev高保真模型进行仿真。仿真结果表明,所提出的方法可以确定优先事项并提高性能。此外,结果表明,对性能指数的能量经济增加可以提高车辆的燃料消耗。为汽车应用程序设计控制器的主要问题之一是实时实现。硬件循环实验结果显示了控制器的实时实现。

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