基于机器视觉的智能交通控制系统设计  

Design of intelligent traffic control system based on machine vision

作　　者：张燕[1] 任安虎[2] 陈洋 ZHANG Yan;REN An-hu;CHEN Yang(Shaanxi Polytechnic Institute,Xianyang 712000,Shaanxi Province,China;Xi’an Technological University,Xi’an 710021,China)

机构地区：[1]陕西工业职业技术学院,陕西咸阳712000 [2]西安工业大学,西安710021

出　　处：《信息技术》2025年第2期55-60,共6页Information Technology

基　　金：陕西工业职业技术学院项目(2021YKYB-046);陕西省科技厅工业攻关项目(2023-YBGY-031)。

摘　　要：城市道路交通堵塞的问题日益突出,为提高道路交叉口的通行效率,文中设计了一种基于机器视觉的智能交通控制系统。利用道路监视设备拍摄车流视频,实时检测道路交叉口的交通状态,根据车流量、车速及排队长度等交通参数,采用DQN信号配时模型对交通灯进行配时,最后通过STM32单片机管理交通灯。系统利用道路交通实时状况信息,在不同交通状态下能自适应调整交通灯的配时,降低了交叉口车辆通行延误时间,有效提高了道路交通通行效率。In order to improve the efficiency of road intersections,an intelligent traffic control system based on machine vision is designed.Road monitoring equipment is used to shoot video of traffic flow and detect the traffic status of road intersection in real time.According to traffic parameters of traffic flow,speed and queue length,traffic lights are timed using DQN signal timing model.Finally,traffic lights are managed by STM32 microcontroller.By using the real-time information of road traffic,the system can adjust the timing of traffic lights adaptively under different traffic conditions,reduce the delay time of intersection vehicles,and effectively improve the efficiency of road traffic.

关 键 词：机器视觉 智能交通 交通参数 信号配时 通行效率 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]