基于改進(jìn)Y0L0v10的輕量化交通流量檢測(cè)

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中圖分類號(hào)：TP391.4 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：2096-4706（2025）08-0077-06

Abstract：Inorder tosolvetheshortcomingsoftraditional trafficflow statisticsalgorithms inreal-time，stabilityand accuracy，atargetdetectionalgorithmbasedonimprovedYOLOv10algorithm is proposed.TheimprovedYOLOv10algorithm is combined withDepSORTtracking technologytoconstructanew traffcflowstatisticalarchitecture.The traffcscene video oftheactualroadconditioniscollctedtoverifytheaccuracyofthe framework.Theexperimentalresultsshowthatcompared with the originalalgorithm，theaverage accuracyoftheimprovednewalgorithm invehicle detectionis improved by 1 % ，and the statistical accuracy of video traffic flow is improved by 3 . 4 6 %

Keywords： computer vision; traffc flow statistic; YOLO; DeepSORT; intelligent transportatiol

0 引言

在城市化進(jìn)程持續(xù)推進(jìn)的過程中，城市空間規(guī)模呈現(xiàn)出不斷增長的態(tài)勢(shì)。（剩余7527字）