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412 东南大学学报(自然科学版) 第49卷 Yang L P, Qian D L. Vulnerability analysis of road flow accident risk on urban expressway[J]. Joumal of etworks [J]. Journal of Transportation Systems engi Tongji University( Natural Science), 2014, 42(6) eering and Information Technology, 2012, 12(1) 873-879.DOl:10.3969/ 1. Issn.0253-374x.2014.06. 105-110.DO1:10.3969/.issn.10096744.2012.01 008.( in Chinese) 016.(in Chinese) [66 Najafi S, FlintschG W, Khaleghian S. Fuzzy logic in- [58]李成兵,魏磊,李奉孝,等.基于攻击策略的城市群 ference-based Pavement Friction Management and re 复合交通网络脆弱性研究[J].公路交通科技 2017,34(3):101-109.DOl:10.3969/j.issn.1002 tud [J. Accident Analysis Prevention, 2016, 90 0268.2017.03.014 41-49.DOI:10.1016/jap.2016.02.007 LiCB,weiL,LiFX, et al. Study on vulnerability[67]王世明,徐建闽,罗强,等.面向高速公路的车辆换 of city agglomeration compound traffic network based 道安全预警模型[J].华南理工大学学报(自然科学 on attack strategy [J]. Journal of Highway and Trans- 版),2014,42(12):40-50.DO:10.3969/jisn. portation Research and Development, 2017, 34(3) 1000-565X.2014.12. 101-109.DO1:10.3969/j.issn.1002-0268.2017.03 Wang S m,ⅪuJM Q, et al. A safety warning 014.( in Chinese) model for lane changing on highway [J]. Journal of [59 Xu CC, Liu P, Yang B, et al. Real-time estimation South China University of Technology( Natural Science of secondary crash likelihood on freeways using high Edition),2014,42(12):40-50.DOl:10.3969/j issn.1000-565X.2014.12.007.( in Chinese) search Part C: Emerging Technologies, 2016, 71: [68 Steenbruggen J, Tranos E, Rietveld P. Traffic inci 406-418.DOl:10.1016/j.trc.2016.08.015 dents in motorways: An empirical proposal for incident 60 Dingus T A, Guo F, Lee S, et al. Driver crash risk factors and prevalence evaluation using naturalistic Journal of Transport Geography, 2016, 54: 81-90 driving data[ J]. Proceedings of the National Academy DOI:10.1016/j- trango.2016.05.008 of sciences,2016,13(10):2636-2641.Dol:10.[69]赵学刚、城市道路交通安全综合风险预警控制研究 1073/pnas.1513271113 [冂].中国安全科学学报,2016,26(2):158-163 [61 Lefevre S, Vasquez D, Laugier C. A survey on mo- DO:10.16265/j.cnki.issn1003-3033.2016.02.027 tion prediction and risk assessment for intelligent vehi Zhao X G. Research on integrated warning control of cles[J]. ROBOMECH Journal, 2014, 1(1):1-14 urban traffic safety risks[J]. China Safety Science DOI:10.1186/s40648-0140001-Z Jounai,2016,26(2):158-163.DO1:10.16265/j ness of on-street bicycle lane and assessing risk to bicy- [70] Milanes V, Perez J, Godoy J, et al. A fuzzy aid rear- clists in Charlotte, North Carolina[ J]. Accident Anal- end collision warning/avoidance system[J]. Expert 34-41.DOl:10.101 Systems with Applications, 2012, 39(10): 9097 9107.DOl:10.1016/jewa.2012.02.054 [63 Golestan K, Khaleghi B, Karray F, et al. Attention [71] Martin J, Rozas A, Araujo A. A WSN-based intrusion assist. A high-level information fusion framework for alarm system to improve safety in road work zones situation and threat assessment in vehicular ad hoc net- []. Journal of Sensors, 2016, 2016: 1-8. DOI works[J. IEEE Transactions on Intelligent Transpor 10.1155/2016/7048141 tation Systems,2016,17(5):1271-1285.DO1:10.[72]张登宏.基于物联网技术的交通安全预警机制研究 1109/tits.2015.2502601 [冂].计算机仿真,2011,28(11):346-349.DOI [64 Gokulakrishnan P, Ganeshkumar P. Road accident pre 10.3969/j.iss.1006-9348.2011.11.084 Zhang D H. Research on early-warning mechanism semination in vehicular ad-hoc network[ J]. PLoS basedoninternetofthingsfortrafficsafety[j.com- One,2015,10(12):c0143383.DOl:10.1371/jour puter Simulation, 2011, 28(11): 346-349. DOI: 10 nal pone. 0143383. 3969/.isn.1006-9348.2011.11.084.( in Chinese) [65]孙剑,孙杰.城市快速路实时交通流运行安全主动[73]WuJJ, Abdel-AlyM,YuRJ,etal. A novel visible 风险评估[].同济大学学报(自然科学版),2014 analysis [J] 42(6):873-879.DOI:10.3969/j.issn.0253-374x Transportation Research Part C: Emerging Technolo- 2014.06.008. gies,2013,36:72-82.DOl:10.1016/j.tre.2013 Sun j. Sun j. proactive assessment of real-time traffic 08.005 http://journal.seu.edu.cnhttp://journal.seu.edu.cn YangLP,QianD L.Vulnerabilityanalysisofroad networks[J].JournalofTransportationSystemsEngi neeringandInformationTechnology,2012,12(1): 105 110.DOI:10.3969/j.issn.10096744.2012.01. 016.(inChinese) [58]李成兵,魏磊,李奉孝,等.基于攻击策略的城市群 复合交通 网 络 脆 弱 性 研 究 [J].公 路 交 通 科 技, 2017,34(3):101 109.DOI:10.3969/j.issn.1002 0268.2017.03.014. LiCB,WeiL,LiFX,etal.Studyonvulnerability ofcityagglomerationcompoundtrafficnetworkbased onattackstrategy[J].JournalofHighwayandTrans portationResearchandDevelopment,2017,34(3): 101 109.DOI:10.3969/j.issn.10020268.2017.03. 014.(inChinese) [59]XuCC,LiuP,YangB,etal.Realtimeestimation ofsecondarycrashlikelihoodonfreewaysusinghigh resolutionloopdetectordata[J].TransportationRe searchPartC:EmergingTechnologies,2016,71: 406 418.DOI:10.1016/j.trc.2016.08.015. [60]DingusTA,GuoF,LeeS,etal.Drivercrashrisk factorsand prevalence evaluation using naturalistic drivingdata[J].ProceedingsoftheNationalAcademy ofSciences,2016,113(10):2636 2641.DOI:10. 1073/pnas.1513271113. [61]LefèvreS,VasquezD,LaugierC.Asurveyonmo tionpredictionandriskassessmentforintelligentvehi cles[J].ROBOMECHJournal,2014,1(1):1 14. DOI:10.1186/s406480140001z. [62] PulugurthaSS,ThakurV.Evaluatingtheeffective nessofonstreetbicyclelaneandassessingrisktobicy clistsinCharlotte,NorthCarolina[J].AccidentAnal ysis&Prevention,2015,76:34 41.DOI:10.1016/ j.aap.2014.12.020. [63]GolestanK,KhaleghiB,KarrayF,etal.Attention assist:Ahighlevelinformationfusionframeworkfor situationandthreatassessmentinvehicularadhocnet works[J].IEEETransactionsonIntelligentTranspor tationSystems,2016,17(5):1271 1285.DOI:10. 1109/tits.2015.2502601. [64]GokulakrishnanP,GaneshkumarP.Roadaccidentpre ventionwithinstantemergencywarningmessagedis seminationinvehicularadhocnetwork[J].PLoS One,2015,10(12):e0143383.DOI:10.1371/jour nal.pone.0143383. [65]孙剑,孙杰.城市快速路实时交通流运行安全主动 风险评估[J].同济大学学报(自然科学版),2014, 42(6):873879.DOI:10.3969/j.issn.0253374x. 2014.06.008. SunJ,SunJ.Proactiveassessmentofrealtimetraffic flowaccidentriskonurbanexpressway[J].Journalof TongjiUniversity(NaturalScience),2014,42(6): 873 879.DOI:10.3969/j.issn.0253374x.2014.06. 008.(inChinese) [66]NajafiS,FlintschGW,KhaleghianS.Fuzzylogicin ferencebasedPavementFrictionManagementandreal timeslipperywarningsystems:A proofofconcept study[J].AccidentAnalysis&Prevention,2016,90: 41 49.DOI:10.1016/j.aap.2016.02.007. [67]王世明,徐建闽,罗强,等.面向高速公路的车辆换 道安全预警模型[J].华南理工大学学报(自然科学 版),2014,42(12):40 50.DOI:10.3969/j.issn. 1000565X.2014.12.007. WangSM,XuJM,LuoQ,etal.Asafetywarning modelforlanechangingonhighway[J].Journalof SouthChinaUniversityofTechnology(NaturalScience Edition),2014,42(12):40 50.DOI:10.3969/j. issn.1000565X.2014.12.007.(inChinese) [68] SteenbruggenJ,TranosE,RietveldP.Trafficinci dentsinmotorways:Anempiricalproposalforincident detectionusingdatafrom mobilephoneoperators[J]. JournalofTransportGeography,2016,54:81 90. DOI:10.1016/j.jtrangeo.2016.05.008. [69]赵学刚.城市道路交通安全综合风险预警控制研究 [J].中国安全科学学报,2016,26(2):158 163. DOI:10.16265/j.cnki.issn10033033.2016.02.027. ZhaoXG.Researchonintegratedwarningcontrolof urbantrafficsafetyrisks[J].ChinaSafetyScience Journal,2016,26(2):158 163.DOI:10.16265/j. cnki.issn10033033.2016.02.027.(inChinese) [70]MilanésV,PérezJ,GodoyJ,etal.Afuzzyaidrear endcollisionwarning/avoidancesystem[J].Expert SystemswithApplications,2012,39(10):9097 9107.DOI:10.1016/j.eswa.2012.02.054. [71]MartinJ,RozasA,AraujoA.AWSNbasedintrusion alarm system toimprovesafetyinroadworkzones [J].JournalofSensors,2016,2016:1 8.DOI: 10.1155/2016/7048141. [72]张登宏.基于物联网技术的交通安全预警机制研究 [J].计算机仿真,2011,28(11):346 349.DOI: 10.3969/j.issn.10069348.2011.11.084. ZhangD H.Researchonearlywarningmechanism basedoninternetofthingsfortrafficsafety[J].Com puterSimulation,2011,28(11):346 349.DOI:10. 3969/j.issn.10069348.2011.11.084.(inChinese) [73]WuJJ,AbdelAtyM,YuRJ,etal.Anovelvisible networkapproach forfreeway crash analysis[J]. TransportationResearchPartC:EmergingTechnolo gies,2013,36:72 82.DOI:10.1016/j.trc.2013. 08.005. 412 东南大学学报(自然科学版) 第 49卷
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