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410 东南大学学报(自然科学版) 第49卷 formation Technology,2016,16(1):52-57.DO1:[27]高自友,吴建军,毛保华,等.交通运输网络复杂性 10.3969/ 1. Issn.10096744.2016.01.009.( in Chi 及其相关问题的研究[J].交通运输系统工程与信 息,2005,5(2):79-84.DOl:10.3969/jisn.1009 [17 Coue C, Fraichard T, Bessiere P, et al. Multi-sensor 6744.2005.02.013. data fusion using Bayesian programming: An automo- Gao ZY, Wu J J, Mao B H, et al. Study on the com tive application [C]//Intelligent Vehicle Symposium plexity of traffic networks and related problems [J] IEEE. Versailles. France. 2002. 442-447. DOI.10 Journal of Transportation Systems Engineering and In 1109/IVS.2002.1187989 formation Technology, 2005, 5(2): 79-84. DOl: 10. [18 Zeng D H, Xu J M, Xu G. Data fusion for traffic in- 3969/j.isn.10096744.2005.02.013.( in Chinese) cident detector using D-s evidence theory with probab [28 Li S B, Li Y, Fu BB, et al. Study on simulation op- istic SVMs[J]. Journal of Computers, 2008, 3(10) timization of dynamic traffic signal based on complex 36-43.DOl:10.4304/jcp.3.10.36-43 networks[J]. Procedia Engineering, 2016, 137:1 [19]丁宏飞,秦政,李演洪,等.融合多源数据的ABC 10.DOI:10.1016/ J- proeng.2016.01.228 sVM快速路交通事件检测[冂。中国安全科学学报,[29]刘新全.基于贝叶斯网络推理的道路网络级联失效 015,25(6):162-166.DOl:10.16265/j.cnki 仿真[冂].交通运输系统工程与信息,2015,15(2): issn1003-3033.2015.06.027 210-215,22.DOl:10.3969/.issn.10096744 Ding H F, Qin Z, Li Y H, et al. Urban expressways 2015.02.032 traffic incident detection based on multi-source Liu X Q. Cascading failures simulation of road net fused by ABC-SVM[J. China Safety Science works based on bayesian network inference [J].Jour- l,2015,25(6):162 DOI:10.16265/j nal of Transportation Systems Engineering and info cnki. issn1003-3033. 2015. 06 027.( in Chinese) mation Technology, 2015, 15(2): 210-215, 222 [20 Nantes A, Ngoduy D, Bhaskar A, et al. Real-time DOI:10.3969/jisn.100946744.2015.02.032.(in traffic state estimation in urban corridors from hetero geneous data[ J]. Transportation Research Part C: E- [30] Danczyk A, Di X, Liu HX, et al. Unexpected versus merging Technologies, 2016, 66 l18.DOl:10 expected network disruption: Effects on travel behavior 1016/j.tre.2015.07.005 [J]. Transport Policy, 2017, 57: 68-78. DOI: 10 [21] Daganzo C F. The cell transmission model: A dynamic l016/ j. tranpol2017.02.00 representation of highway traffic consistent with the hy- [31 Wang L F, Chen H, Li Y. Transition characteristic a- drodynamic theory J]. Transportation Research Part nalysis of traffic evolution process for urban traffic net- B: Methodological, 1994, 28(4): 269-287. DOI work[J]. The Scientific World Joumal, 2014, 2014 10.1016/0191-2615(94)90002-7 1-9.DOl:10.1155/2014/603274 [22 Munoz L, Sun X T, Horowitz R, et al. Traffic density [32 Soltani A, Askari S. Exploring spatial autocorrelation stimation with the cell transmission model[ C]//Pro- of traffic crashes based on severity [J]. Injury, 2017 dings of the 2003 American Control Conference 48(3):637-647.DOl:10.1016/j. InJury.2017.01 Denver,CO,USA,2003:3750-3755.DOl:10 1109/ACC.2003.1240418 [33 Kang Y, Cho N, Son S. Spatiotemporal characteristics [23 Horowtiz R, Munoz L, Sun X. Modeling, estimation of elderly populations traffic accidents in Seoul using and control of freeway traffic [R]. Evanston, USA space-time cube and space-time kernel density estima tion[J]. PLoS One, 2018, 13(5): c0196845. DOI [24 Gomes G, Horowitz R. Optimal freeway ramp mete- 10.137l/ journal. pone.0196845 ring using the asymmetric cell transmission model[ J]. [34 Fan Y X, Zhu X Y, She B, et al. Network-constrain- Transportation Research Part C: Emerging Technolo ed spatio-temporal clustering analysis of traffic colli- gies,2006,14(4):244-262.DOl:10.1016/jtre sions in Jianghan District of Wuhan, China[ J]. PLos 2006.08.001 One,2018,13(4):c0195093.DOl:10.1371/jour [25 Boel R, Mihaylova L. A compositional stochastic mod- el for real time freeway traffic simulation[J]. Trans- [35 Nanthawichit C, Nakatsuji T, Suzuki H. Application portation Research Part B: Methodological, 2006, 40 of probe-vehicle data for real-time traffic-state estima (4):319-334.DOl:10.1016/j.tb.2005.05.001. tion and short-term travel-time prediction on a freewa [26 Musolino G, Vitetta A. Estimation of the network fun- [J]. Transportation Research Record: Journal of the damental diagram( NFD): An urban application in e Transportation Research Board, 2003, 1855(1): 49 59.DOI:10.3141/1855-06 Procedia,2014,3:205-213. DOI: 10. 1016/j. trpro. [36 Min W L, Wynter L. Real-time road traffic prediction http://journal.seu.edu.cnhttp://journal.seu.edu.cn JournalofTransportationSystemsEngineeringandIn formationTechnology,2016,16(1):52 57.DOI: 10.3969/j.issn.10096744.2016.01.009.(inChi nese) [17]CoueC,FraichardT,BessiereP,etal.Multisensor datafusionusingBayesianprogramming:Anautomo tiveapplication[C]//IntelligentVehicleSymposium, IEEE.Versailles,France,2002:442 447.DOI:10. 1109/IVS.2002.1187989. [18]ZengDH,XuJM,XuG.Datafusionfortrafficin cidentdetectorusingDsevidencetheorywithprobabi listicSVMs[J].JournalofComputers,2008,3(10): 36 43.DOI:10.4304/jcp.3.10.3643. [19]丁宏飞,秦政,李演洪,等.融合多源数据的 ABC SVM快速路交通事件检测[J].中国安全科学学报, 2015,25(6):162 166.DOI:10.16265/j.cnki. issn10033033.2015.06.027. DingHF,QinZ,LiYH,etal.Urbanexpressways trafficincidentdetectionbasedonmultisourcedata fusedbyABCSVM[J].ChinaSafetyScienceJour nal,2015,25(6):162 166.DOI:10.16265/j. cnki.issn10033033.2015.06.027.(inChinese) [20] NantesA,NgoduyD,BhaskarA,etal.Realtime trafficstateestimationinurbancorridorsfrom hetero geneousdata[J].TransportationResearchPartC:E mergingTechnologies,2016,66:99 118.DOI:10. 1016/j.trc.2015.07.005. [21]DaganzoCF.Thecelltransmissionmodel:Adynamic representationofhighwaytrafficconsistentwiththehy drodynamictheory[J].TransportationResearchPart B:Methodological,1994,28(4):269 287.DOI: 10.1016/01912615(94)900027. [22]MunozL,SunXT,HorowitzR,etal.Trafficdensity estimationwiththecelltransmissionmodel[C]//Pro ceedingsofthe2003AmericanControlConference. Denver,CO,USA,2003:3750 3755.DOI:10. 1109/ACC.2003.1240418. [23]HorowtizR,MunozL,SunX.Modeling,estimation, andcontroloffreewaytraffic[R].Evanston,USA: NorthwesternUniversity,2005. [24]GomesG,HorowitzR.Optimalfreewayrampmete ringusingtheasymmetriccelltransmissionmodel[J]. TransportationResearchPartC:EmergingTechnolo gies,2006,14(4):244 262.DOI:10.1016/j.trc. 2006.08.001. [25]BoelR,MihaylovaL.Acompositionalstochasticmod elforrealtimefreewaytrafficsimulation[J].Trans portationResearchPartB:Methodological,2006,40 (4):319 334.DOI:10.1016/j.trb.2005.05.001. [26]MusolinoG,VitettaA.Estimationofthenetworkfun damentaldiagram(NFD):Anurbanapplicationine mergencyconditions[J]. Transportation Research Procedia,2014,3:205 213.DOI:10.1016/j.trpro. 2014.10.106. [27]高自友,吴建军,毛保华,等.交通运输网络复杂性 及其相关问题的研究[J].交通运输系统工程与信 息,2005,5(2):79 84.DOI:10.3969/j.issn.1009 6744.2005.02.013. GaoZY,WuJJ,MaoBH,etal.Studyonthecom plexityoftrafficnetworksandrelatedproblems[J]. JournalofTransportationSystemsEngineeringandIn formationTechnology,2005,5(2):79 84.DOI:10. 3969/j.issn.10096744.2005.02.013.(inChinese) [28]LiSB,LiY,FuBB,etal.Studyonsimulationop timizationofdynamictrafficsignalbasedoncomplex networks[J].ProcediaEngineering,2016,137:1 10.DOI:10.1016/j.proeng.2016.01.228. [29]刘新全.基于贝叶斯网络推理的道路网络级联失效 仿真[J].交通运输系统工程与信息,2015,15(2): 210 215,222.DOI:10.3969/j.issn.10096744. 2015.02.032. LiuX Q.Cascadingfailuressimulationofroadnet worksbasedonbayesiannetworkinference[J].Jour nalofTransportationSystemsEngineeringandInfor mationTechnology,2015,15(2):210 215,222. DOI:10.3969/j.issn.10096744.2015.02.032.(in Chinese) [30]DanczykA,DiX,LiuHX,etal.Unexpectedversus expectednetworkdisruption:Effectsontravelbehavior [J].TransportPolicy,2017,57:68 78.DOI:10. 1016/j.tranpol.2017.02.002. [31]WangLF,ChenH,LiY.Transitioncharacteristica nalysisoftrafficevolutionprocessforurbantrafficnet work[J].TheScientificWorldJournal,2014,2014: 1 9.DOI:10.1155/2014/603274. [32]SoltaniA,AskariS.Exploringspatialautocorrelation oftrafficcrashesbasedonseverity[J].Injury,2017, 48(3):637 647.DOI:10.1016/j.injury.2017.01. 032. [33]KangY,ChoN,SonS.Spatiotemporalcharacteristics ofelderlypopulation’strafficaccidentsinSeoulusing spacetimecubeandspacetimekerneldensityestima tion[J].PLoSOne,2018,13(5):e0196845.DOI: 10.1371/journal.pone.0196845. [34]FanYX,ZhuXY,SheB,etal.Networkconstrain edspatiotemporalclusteringanalysisoftrafficcolli sionsinJianghanDistrictofWuhan,China[J].PLoS One,2018,13(4):e0195093.DOI:10.1371/jour nal.pone.0195093. [35]NanthawichitC,NakatsujiT,SuzukiH.Application ofprobevehicledataforrealtimetrafficstateestima tionandshorttermtraveltimepredictiononafreeway [J].TransportationResearchRecord:Journalofthe TransportationResearchBoard,2003,1855(1):49 59.DOI:10.3141/185506. [36]MinW L,WynterL.Realtimeroadtrafficprediction 410 东南大学学报(自然科学版) 第 49卷
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