基于计算机视觉的自适应交通一体化控制系统设计

Design of adaptive traffic integration control system based on computer vision

传统的交通控制系统采用预设的固定信号时序模式,无法根据当前的道路状况及车流量实现对交通模式的动态管理,因此,容易导致严重的交通拥堵。针对该问题,该文设计并实现了一种基于计算机视觉的自适应交通一体化控制系统。该系统能够根据交通的实际需求实时调整交通信号时长,从而显著缩短车辆通过交通路口的时间。此外,在该系统中开发的智能控制算法还能够提供如违规检测、道路监控、以及优先安排紧急车辆通过等智能交通功能。仿真实验验证了一体化控制系统的有效性。

The traditional traffic control system uses a preset fixed signal timing pattern,which cannot achieve dynamic management of traffic patterns according to the current road conditions and traffic flow.Therefore,it is easy to lead to serious traffic congestion.To address this problem,this paper designs and develops an adaptive traffic integration control system based on computer vision.The system can adjust the traffic signal duration in real time according to the actual demand of the traffic,thus significantly reducing the time for vehicles to pass through the traffic intersection.In addition,the intelligent control algorithms developed in the system are able to provide intelligent traffic functions such as:violation detection,road monitoring,and prioritization of emergency vehicles to pass.Simulation experiments have verified the effectiveness of the integrated control system.