基于模糊车流量估计的智能交通系统SOPC设计  

Design of Intelligent Transportation System SOPC Based on Fuzzy Traffic Flow Estimation

作　　者：苏德福 陈彬晖 林诗雨 陈冬杰 张昂[1] 陈建[1] SU Defu;CHEN Binhui;LIN Shiyu;CHEN Dongjie;ZHANG Ang;CHEN Jian(College of Physics and Information Engineering,Fuzhou University,Fuzhou 350108,China)

机构地区：[1]福州大学物理与信息工程学院,福建福州350108

出　　处：《电视技术》2023年第5期41-44,50,共5页Video Engineering

基　　金：2022年大学生创新创业训练项目(202210386028);国家自然科学基金(62001117)。

摘　　要：针对现有交通系统中的车流量检测技术无法同时兼顾应用成本、计数精度、性能稳定的问题,提出一种基于模糊车流量信息的拥堵状况判断方法,并将其应用在基于ZYNQ-7020的智能交通系统中。这种估计方法兼顾实时交通数据的排队长度和等待时间,得出一个拥堵程度的模糊预测值。将该方法集成进拥堵程度估计的软件处理模块,与基于现场可编程逻辑门阵列(Field Programmable Gate Array,FPGA)硬件逻辑的视频采集模块和交通灯控制模块等一同组成智能交通SOPC系统,根据实时车流量动态调整路口红绿灯时长,从而提高路口交通效率。实验结果表明,拥堵程度估计模块给出的拥堵程度估计值可以近似表示道路的拥堵程度,系统实时性高、集成度高,具有一定的实用价值和推广应用前景。In order to solve the problem that the current traffic flow detection technology cannot simultaneously take into account the application cost,counting accuracy and stable performance,this paper proposes a kind of congestion judgment based on fuzzy traffic flow information,and applies it to the intelligent traffic system based on ZYNQ-7020.This method takes into account the queue length and waiting time of real-time traffic data,and obtains a fuzzy predictive value of congestion degree.The method is integrated into the software processing module of congestion degree estimation,and together with the video acquisition module based on Field Programmable Gate Array(FPGA)hardware logic and traffic light control module,the intelligent traffic SOPC system is formed,so as to realize the dynamic adjustment of traffic light duration according to the real-time traffic flow,so as to improve the traffic efficiency at the intersection.The experimental results show that the congestion degree estimation value given by the congestion degree estimation module can approximate the congestion degree of the road,and the system has high real-time performance and high integration,which has certain practical value and application prospects.

关 键 词：车流量检测技术 拥堵程度估计 智能交通系统 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]