The invention relates to a green traffic speed optimization method for intelligent networked vehicles at an urban congested intersection. The method comprises the steps: when a signal lamp is red, obtaining the number of automobiles in a control area or close to a control area and the phase timing information of the signals, calculating the acceleration or deceleration of the automobiles in a waiting queue by using an intelligent driver automobile following model, calculating the length and speed change track of the waiting queue based on an automobile kinematics model, and estimating the passing time of the waiting queue; establishing a collision avoidance function by utilizing a potential energy function, solving and designing a vehicle speed optimization problem containing multiple constraints and multiple targets by adopting a model prediction control algorithm, and performing calculating to obtain a green passing vehicle speed until a controlled vehicle passes through an intersection stop line. According to the method, the actual situation and the level of the prior art are fully considered, and the traffic safety, the automobile energy-saving level and the traffic passing efficiency are effectively improved.
本发明涉及一种城市拥堵路口智能网联汽车绿色通行车速优化方法,当信号灯为红灯时,获取在控制区域内部或者靠近控制区域的汽车数量以及信号的相位配时信息,利用智能驾驶员跟车模型计算待行队列内汽车的加速度或者减速度,并基于汽车运动学模型计算待行队列的长度与速度变化轨迹,估计待行队列通行时间;接着利用势能函数建立避撞函数,采用模型预测控制算法求解设计包含多约束和多目标的车速优化问题,计算获得绿色通行车速,直至被控汽车驶过路口停车线;本发明充分考虑了实际情况和现有技术水平,有效地提高了交通安全性、汽车节能水平、交通通行效率。
Green passing speed optimization method for intelligent networked vehicles at urban congestion intersections
城市拥堵路口智能网联汽车绿色通行车速优化方法
2020-07-07
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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