摘要
为改善交通拥堵情况,让车辆有序并及时地通过交通路口,提出一种基于线性回归理论的智能交通算法。首先,计算各个车道的平均等待数量和等待时间,利用叠加方法,设置坐标;其次,利用线性回归理论,设计合理的通行方式,使车辆有序并及时地通过路口;最后,计算出车道绿灯增加或减少的时间,动态调整红绿灯时间。基于线性回归理论的智能交通算法,可有效地根据实际情况做出相应的处理。
In order to improve traffic congestion and allow vehicles to pass through traffic intersections in an orderly and timely manner,an intelligent transportation algorithm based on linear regression theory is proposed. Firstly, the average waiting number and waiting time of each lane are calculated, and the coordinates are set by using the overlay method. Secondly, the linear regression theory is used to design a reasonable traffic mode so that vehicles can pass through the intersection in an orderly and timely manner;Finally, the time when the green light in the lane increases or decreases is calculated, and the traffic light time is dynamically adjusted. The intelligent transportation algorithm based on linear regression theory can effectively make corresponding processing according to the actual situation.
作者
李志鹏
LI Zhipeng(Jiangxi University of Finance and Economics,Nanchang 330013,China)
出处
《电视技术》
2022年第12期72-76,共5页
Video Engineering
关键词
线性回归
斜率参数
动态调整
智能交通
linear regression
slope parameter
dynamic adjustment
intelligent transportation
