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首页> 外文期刊>IEEE transactions on industrial informatics >Multivehicle Coordinated Lane Change Strategy in the Roundabout Under Internet of Vehicles Based on Game Theory and Cognitive Computing
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Multivehicle Coordinated Lane Change Strategy in the Roundabout Under Internet of Vehicles Based on Game Theory and Cognitive Computing

机译：基于博弈论和认知计算的车辆互联网上环形交叉路口的多偏光池协调策略

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摘要

The roundabouts exist widely in urban road networks and reduce the number of traffic crashes by reducing vehicle conflicts. However, road restrictions at the entrances and exits increase the collision possibility between vehicles as they enter or leave the roundabouts. Focusing on the driving scenes in a roundabout, this article proposes a multivehicle coordinated lane change strategy for the mandatory lane change of vehicles. First, depending on the fluctuation of the vehicle acceleration, the driver's aggressive coefficient is defined. Second, according to the vehicle's driving state and its distance to the exit, a cost function is proposed and model predictive control is used to control the vehicle's motion. Moreover, the Stackelberg game is utilized to model the relationship between the lane change vehicle and its surrounding vehicles, and then to determine the timing of the changing lane. Finally, the simulation experiments verify whether the algorithm can improve the average speed of the vehicle and maintain the driving stability.
机译：环形交叉路口广泛存在于城市道路网络中，通过减少车辆冲突来减少交通崩溃的数量。然而，入口的道路限制并退出时，在进入或离开环形交叉路口时增加了车辆之间的碰撞可能性。本文专注于环形交通枢纽的驾驶场景，提出了一种用于车辆的强制性车道变化的多光线协调巷改变策略。首先，根据车辆加速的波动，定义了驾驶员的侵略性系数。其次，根据车辆的驾驶状态及其到出口的距离，提出了成本函数，并且模型预测控制用于控制车辆的运动。此外，Stackelberg游戏用于模拟车道改变车辆及其周围车辆之间的关系，然后确定改变车道的定时。最后，仿真实验验证算法是否可以提高车辆的平均速度并保持驱动稳定性。

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