基于视频交通图像的潮汐车道自适应控制系统设计

针对城市道路双向交通需求不均衡的潮汐交通问题,设计了一种新的基于视频交通图像的潮汐车道自适应控制系统。通过局域网实现两台工控机间的独立运行,给出系统结构。介绍了控制逻辑,通过视频交通图像获取车辆平均速度、交通流量等数据。以计算交通饱和度,选择道路双向饱和度的加权切换动态控制方式对潮汐车道进行自适应控制。按照车道交通状态中两个方向的饱和度,把潮汐车道交通状态划分成五种情况,通过枚举法对模型进行求解。依据潮汐车道交通特征,把全部车道配置看作解空间,把双向车道交通饱和度与流率看作输入量,实现模型求解。实验结果表明,所设计系统综合延误低,车辆排队长度少,在中高密度交通流下也可有效实现控制。

Design of adaptive control system for tidal lane based on video traffic image

A new traffic lane adaptive control system based on video traffic image is designed to solve the problem of uneven traffic flow in urban road. The independent operation of two industrial computers is realized through LAN, and the system structure is given. The control logic, obtain the vehicle average speed and traffic flow data through the traffic image, to calculate the traffic saturation, choose two-way road saturation weighted switching dynamic control adaptive control of tidal lane. In accordance with the direction of the two lane traffic in a state of saturation, the tidal traffic status is divided into five kinds of situations, solving the model with enumeration method, on the basis of tidal traffic characteristic, all Lane configuration as the solution space, the two lane traffic flow and saturation as input, is used to solve the model. The experimental results show that the system has low overall delay and short queue length, and can be effectively controlled in the middle and high density traffic flow.