交叉口入口路段车流量及车辆换道率检测研究.pdf

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1、第32卷第7期2015年7月计算机应用研究ApplicationResearchofComputersV01．32No．7Jul．2015交叉口入口路段车流量及车辆换道率检测研究杨德亮1’2，谢旭东2，牛小铁1(1．北京工业职业技术学院机电工程系，北京100042；2．清华大学自动化系，北京100084)摘要：针对交叉12入口路段交通视频中存在车辆遮挡严重、频繁走停以及频繁换道插队等特点，提出了一种获取交叉口停车线后大视野范围内车流量以及车辆换道率的检测方法。首先采用多级虚拟特征线生成多级时空图，对车辆进行快速检测和分割，获得车辆候

2、选区域；然后对车辆候选区域内局部特征点进行初步分组和跟踪，并根据相同组内特征点运动趋势相似性来修正分组，解决车辆遮挡问题，用于检测车辆换道率；最后将多级时空图与特征．羔跟踪相结合，进行相互反馈，实现对车辆准确分割和鲁棒跟踪，避免车辆行驶中走停的影响。实验结果表明，通过该方法能实时准确地获取大视野范围内交叉12入口路段车流量和车辆换道率的交通参数。关键词：交叉口；车流量；车辆换道率；多级时空图；特征点跟踪中图分类号：U491．264；TP391．41文献标志码：A文章编号：1001—3695(2015)07—2209—05doi：10

3、．3969／j．issn．1001-3695．2015．07．071Studyoftrafficflowandvehiclelane—changingratedetectingatintersectionentranceYangDelian91一，XieXudon92，NiuXiaotiel(1．Dept．ofMechanical＆ElectricalEngtneering，BellingPolytechnicCollege，Beijing100042，China；2．Dept．ofAutomation，TsinghuaUniver

4、sity，Beijing100084，C^讹)Abstract：Inviewoftheseriousvehicleocclusioninthetrafficvideo，stop—and—godriving，vehicleschanginglanesandjump—ingthequeue，thispaperpresentedamethodtoobtainsomeimportantparameters，suchastrafficflowandvehiclelane-chan—gingrate，inlarge—areaoutdoortra

5、fficenvironmentbehindthestopline．Firstly，itusedmultiplevirtualcharacteristiclinestogeneratemultiplelime—spatialimages，andquicklyobtainedthedetectionandsegmentationresultsofvehicles．Furthermore，itacquiredthecandidateregions．Secondly，ittrackedandgroupedthelocalfeaturepoi

6、ntsinthecandidateregiontoimplementvehiclestracking．Simultaneously，basedonthemovementtrendsimilarityofthefeaturepointsinthesamegrouptorevisegroupings，theproblemoftheocclusioncouldbesolvedfordetectingthelane·changingrate．Thirdly，combiningmultipletime—spaceimageswiththetr

7、ackingoffeaturepointstoachievemutualfeedback，itacquiredtheaccuratesegmentingandrobusttrackingofvehicles，meanwhiletheinfluenceofstop—and—godrivingcouldbeavoided．Experimentsshowthattrafficparame—ters，suchastrafficflowandvehiclelane—changingrate，canbeobtainedaccuratelyusi

8、ngtheproposedmethodinlarge—areaoutdoor．Keywords：intersection；trafficflow；vehiclelane—changingrate；multipletime—spatia