美賽數(shù)學的建模比賽論文實用模板

美賽數(shù)學的建模比賽論文實用模板

ID:29442915

大?。?.45 MB

頁數(shù):12頁

時間:2018-12-19

美賽數(shù)學的建模比賽論文實用模板_第1頁
美賽數(shù)學的建模比賽論文實用模板_第2頁
美賽數(shù)學的建模比賽論文實用模板_第3頁
美賽數(shù)學的建模比賽論文實用模板_第4頁
美賽數(shù)學的建模比賽論文實用模板_第5頁
資源描述:

《美賽數(shù)學的建模比賽論文實用模板》由會員上傳分享,免費在線閱讀,更多相關(guān)內(nèi)容在工程資料-天天文庫。

1、實用標準文案TheKeep-Right-Except-To-PassRuleSummaryAsforthefirstquestion,itprovidesatrafficruleofkeeprightexcepttopass,requiringustoverifyitseffectiveness.Firstly,wedefineonekindoftrafficruledifferentfromtheruleofthekeeprightinordertosolvetheproblemclearly;then,webuildaCellularautomatonmodelandaNas

2、chmodelbycollectingmassivedata;next,wemakefulluseofthenumericalsimulationaccordingtoseveralinfluencefactorsoftrafficflow;Atlast,bylotsofanalysisofgraphweobtain,weindicateaconclusionasfollow:whenvehicledensityislowerthan0.15,theruleoflanespeedcontrolismoreeffectiveintermsofthefactorofsafeinthe

3、lighttraffic;whenvehicledensityisgreaterthan0.15,sotheruleofkeeprightexceptpassingismoreeffectiveIntheheavytraffic.Asforthesecondquestion,itrequiresustotestifythatwhethertheconclusionweobtaininthefirstquestionisthesameapplytothekeepleftrule.Firstofall,webuildastochasticmulti-lanetrafficmodel;

4、fromtheviewofthevehicleflowstress,weproposethattheprobabilityofmovingtotherightis0.7andtotheleftotherwisebymakingfulluseoftheBernoulliprocessfromtheviewoftheping-pongeffect,theconclusionisthatthechoiceofthechanginglaneisrandom.Onthewhole,thefundamentalreasonistheformationofthedrivinghabit,sot

5、heconclusioniseffectiveundertheruleofkeepleft.Asforthethirdquestion,itrequiresustodemonstratetheeffectivenessoftheresultadvisedinthefirstquestionundertheintelligentvehiclecontrolsystem.Firstly,takingthespeedlimitsintoconsideration,webuildamicroscopictrafficsimulatormodelfortrafficsimulationpu

6、rposes.Then,weimplementaMETANETmodelforpredictionstatewiththeuseoftheMPCtrafficcontroller.Afterwards,wecertifythatthedynamicspeedcontrolmeasurecanimprovethetrafficflow.Lastlyneglectingthesafefactor,combiningtheruleofkeeprightwiththeruleofdynamicalspeedcontrolisthebestsolutiontoacceleratethetr

7、afficflowoverall.Keywords:CellularautomatonmodelBernoulliprocessMicroscopictrafficsimulatormodelTheMPCtrafficcontrol精彩文檔實用標準文案ContentContent21.Introduction32.Analysisoftheproblem33.Assumption34.SymbolDefinition45.Models55.1BuildingoftheCellul

當前文檔最多預覽五頁,下載文檔查看全文

此文檔下載收益歸作者所有

當前文檔最多預覽五頁,下載文檔查看全文
溫馨提示:
1. 部分包含數(shù)學公式或PPT動畫的文件,查看預覽時可能會顯示錯亂或異常,文件下載后無此問題,請放心下載。
2. 本文檔由用戶上傳,版權(quán)歸屬用戶,天天文庫負責整理代發(fā)布。如果您對本文檔版權(quán)有爭議請及時聯(lián)系客服。
3. 下載前請仔細閱讀文檔內(nèi)容,確認文檔內(nèi)容符合您的需求后進行下載,若出現(xiàn)內(nèi)容與標題不符可向本站投訴處理。
4. 下載文檔時可能由于網(wǎng)絡(luò)波動等原因無法下載或下載錯誤,付費完成后未能成功下載的用戶請聯(lián)系客服處理。