【《移动支付在自动售检票系统（AFC）中的应用研究国内外文献综述》2800字】

移动支付在自动售检票系统（AFC）中的应用研究国内外文献综述1.1国内外AFC发展现状自动售检票系统，即AFC系统（AutomaticFareCollectionsystem），是现代轨道交通领域重要的组成部分，该系统实现售票、检票、收费、计费、清分、统计、管理等整个票务业务的信息化处理，改变了传统人工售检票模式，是轨道交通现代化的标志产物。1967年加拿大蒙特利尔市是国际上第一个轨道交通系统开始采用自动售检票系统（AFC），该系统使用的是磁卡质票。随后，世界主要城市的轨道交通开始采用AFC系统，各种先进技术不断涌现并得到应用。1974年，美国旧金山城市地铁票务系统（BART）率先在收费系统中使用电子钱包，1982年香港地铁票务系统（MTRC）在国际上率先采用可循环使用的磁卡票，1993年，香港地铁采用接触式IC卡取代磁卡票，1997年推出八达通交通卡，是首次应用非接触式IC卡的地铁公司。我国的自动售检票系统（AFC）的研究和开发较晚，但随着国家对地铁、铁路建设项目的推进，轨道交通系统对AFC的需求日益增加。1999年3月1日，上海地铁成为我国第一个使用AFC系统的轨道交通线路，但该系统系引进的美国的AFC系统。2005年10月26日广深城际铁路在铁路系统中首次采用AFC系统，全线采用具备射频识别（RFID）的IC卡车票，全部实行非接触式刷卡验票进出站。2008年8月1日京津城际铁路第一次使用国内研发的自动售检票系统，全线采用磁介质接触式车票。国内目前已开通运营的高铁城际线均按照京津城际铁路的标准建设AFC系统。张彦等ADDINZOTERO_ITEMCSL_CITATION{"citationID":"eDm9CUYQ","properties":{"formattedCitation":"\\super[6]\\nosupersub{}","plainCitation":"[6]","noteIndex":0},"citationItems":[{"id":563,"uris":["/users/3618251/items/38II2DXT"],"uri":["/users/3618251/items/38II2DXT"],"itemData":{"id":563,"type":"article-journal","title":"AhybridmodelforforecastingthevolumeofpassengerflowsonSerbianrailways","container-title":"OperationalResearch","page":"271-285","volume":"16","issue":"2","source":"SpringerLink","abstract":"Theaccuracyofpredictingthevolumeofrailwaypassengerflowsisverysignificantbecauseofthevitalroleinthebasicfunctionsoftransportationresourcesmanagement.Althoughdealingwiththisproblemisveryoftenbasedontheuseoftheneuralnetworks,theuncertaintywhichdominatesinthefunctioningoftransportationsystemsisofgreatsignificance.Theneuralnetworkshavebeenusedforthetime-seriespredictionwithgoodresults.Thisresearchcomparedtwomethodstheparametricandthenon-parametricapproach.Thisstudyaimsatpresentingahybridmodelbasedontheintegrationofthegeneticalgorithm(GA)andtheartificialneuralnetworks(ANN)forforecastingthemonthlyvolumeofpassengersontheSerbianrailways.Thisinnovativehybriddemonstrateshowthegeneticalgorithmscanbeusedtooptimizethenetworkarchitecture.Byapplyingtheideaofgeneticalgorithmsintheneuralnetworks,theintegrationisusedsothatonthebasisoftheinputdata,theselectedpopulationrepresentsthenumberofneuronsinthemiddle.Inordertoassessperformances,thedevelopedapproachiscomparedtothetraditionalSARIMAmodelandtheproposedmethodGAANNisbetter.","DOI":"10.1007/s12351-015-0198-5","ISSN":"1866-1505","journalAbbreviation":"OperResIntJ","language":"en","author":[{"family":"Glišović","given":"Nataša"},{"family":"Milenković","given":"Miloš"},{"family":"Bojović","given":"Nebojša"},{"family":"Švadlenka","given":"Libor"},{"family":"Avramović","given":"Zoran"}],"issued":{"date-parts":[["2016",7,1]]}}}],"schema":"/citation-style-language/schema/raw/master/csl-citation.json"}[3]结合轨道交通的应用经验，阐述AFC技术在铁路客运系统的不同应用模式，分自动售票系统和自动检票系统，分别论述了系统体系结构、系统构成、系统功能和关键技术，并指出铁路AFC系统的发展方向。王国光ADDINZOTERO_ITEMCSL_CITATION{"citationID":"eDm9CUYQ","properties":{"formattedCitation":"\\super[6]\\nosupersub{}","plainCitation":"[6]","noteIndex":0},"citationItems":[{"id":563,"uris":["/users/3618251/items/38II2DXT"],"uri":["/users/3618251/items/38II2DXT"],"itemData":{"id":563,"type":"article-journal","title":"AhybridmodelforforecastingthevolumeofpassengerflowsonSerbianrailways","container-title":"OperationalResearch","page":"271-285","volume":"16","issue":"2","source":"SpringerLink","abstract":"Theaccuracyofpredictingthevolumeofrailwaypassengerflowsisverysignificantbecauseofthevitalroleinthebasicfunctionsoftransportationresourcesmanagement.Althoughdealingwiththisproblemisveryoftenbasedontheuseoftheneuralnetworks,theuncertaintywhichdominatesinthefunctioningoftransportationsystemsisofgreatsignificance.Theneuralnetworkshavebeenusedforthetime-seriespredictionwithgoodresults.Thisresearchcomparedtwomethodstheparametricandthenon-parametricapproach.Thisstudyaimsatpresentingahybridmodelbasedontheintegrationofthegeneticalgorithm(GA)andtheartificialneuralnetworks(ANN)forforecastingthemonthlyvolumeofpassengersontheSerbianrailways.Thisinnovativehybriddemonstrateshowthegeneticalgorithmscanbeusedtooptimizethenetworkarchitecture.Byapplyingtheideaofgeneticalgorithmsintheneuralnetworks,theintegrationisusedsothatonthebasisoftheinputdata,theselectedpopulationrepresentsthenumberofneuronsinthemiddle.Inordertoassessperformances,thedevelopedapproachiscomparedtothetraditionalSARIMAmodelandtheproposedmethodGAANNisbetter.","DOI":"10.1007/s12351-015-0198-5","ISSN":"1866-1505","journalAbbreviation":"OperResIntJ","language":"en","author":[{"family":"Glišović","given":"Nataša"},{"family":"Milenković","given":"Miloš"},{"family":"Bojović","given":"Nebojša"},{"family":"Švadlenka","given":"Libor"},{"family":"Avramović","given":"Zoran"}],"issued":{"date-parts":[["2016",7,1]]}}}],"schema":"/citation-style-language/schema/raw/master/csl-citation.json"}[5]研究了自动售检票系统中的关键技术车票介质的选择、组态软件和设备监控的综合运用、嵌入式实时操作系统的应用、系统安全等，提出了适合铁路旅客运输特点AFC系统。闫磊等ADDINZOTERO_ITEMCSL_CITATION{"citationID":"eDm9CUYQ","properties":{"formattedCitation":"\\super[6]\\nosupersub{}","plainCitation":"[6]","noteIndex":0},"citationItems":[{"id":563,"uris":["/users/3618251/items/38II2DXT"],"uri":["/users/3618251/items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ović","given":"Nebojša"},{"family":"Švadlenka","given":"Libor"},{"family":"Avramović","given":"Zoran"}],"issued":{"date-parts":[["2016",7,1]]}}}],"schema":"/citation-style-language/schema/raw/master/csl-citation.json"}[11]提出了一种远程支付与NFC近端支付技术相结合的铁路客票移动支付购票乘车方案，并以成都至都江堰城际铁路为例，进行了移动支付在城际铁路客票系统中的可行性研究。郑纯ADDINZOTERO_ITEMCSL_CITATION{"citationID":"eDm9CUYQ","properties":{"formattedCitation":"\\super[6]\\nosupersub{}","plainCitation":"[6]","noteIndex":0},"citationItems":[{"id":563,"uris":["/users/3618251/items/38II2DXT"],"uri":["/users/3618251/items/38II2DXT"],"itemData":{"id":563,"type":"article-journal","title":"AhybridmodelforforecastingthevolumeofpassengerflowsonSerbianrailways","container-title":"OperationalResearch","page":"271-285","volume":"16","issue":"2","source":"SpringerLink","abstract":"Theaccuracyofpredictingthevolumeofrailwaypassengerflowsisverysignificantbecauseofthevitalroleinthebasicfunctionsoftransportationresourcesmanagement.Althoughdealingwiththisproblemisveryoftenbasedontheuseoftheneuralnetworks,theuncertaintywhichdominatesinthefunctioningoftransportationsystemsisofgreatsignificance.Theneuralnetworkshavebeenusedforthetime-seriespredictionwithgoodresults.Thisresearchcomparedtwomethodstheparametricandthenon-parametricapproach.Thisstudyaimsatpresentingahybridmodelbasedontheintegrationofthegeneticalgorithm(GA)andtheartificialneuralnetworks(ANN)forforecastingthemonthlyvolumeofpassengersontheSerbianrailways.Thisinnovativehybriddemonstrateshowthegeneticalgorithmscanbeusedtooptimizethenetworkarchitecture.Byapplyingtheideaofgeneticalgorithmsintheneuralnetworks,theintegrationisusedsothatonthebasisoftheinputdata,theselectedpopulationrepresentsthenumberofneuronsinthemiddle.Inordertoassessperformances,thedevelopedapproachiscomparedtothetraditionalSARIMAmodelandtheproposedmethodGAANNisbetter.","DOI":"10.1007/s12351-015-0198-5","ISSN":"1866-1505","journalAbbreviation":"OperResIntJ","language":"en","author":[{"family":"Glišović","given":"Nataša"},{"family":"Milenković","given":"Miloš"},{"family":"Bojović","given":"Nebojša"},{"family":"Švadlenka","given":"Libor"},{"family":"Avramović","given":"Zoran"}],"issued":{"date-parts":[["2016",7,1]]}}}],"schema":"/citation-style-language/schema/raw/master/csl-citation.json"}[13]通过分析沈阳地铁拟采用的APP手机支付方案、基于掌纹识别的RF-SIM卡手机支付方案、基于掌纹识别的NFC手机支付方案、基于人脸识别的RF-SIM卡手机支付方案、基丁人脸识别的NFC手机支付方案的系统性的研究和对比，最终确定适用于沈阳地铁的手机支付方案。赵存宝ADDINZOTERO_ITEMCSL_CITATION{"citationID":"eDm9CUYQ","properties":{"formattedCitation":"\\super[6]\\nosupersub{}","plainCitation":"[6]","noteIndex":0},"citationItems":[{"id":563,"uris":["/users/3618251/items/38II2DXT"],"uri":["/users/3618251/items/38II2DXT"],"itemData":{"id":563,"type":"article-journal","title":"AhybridmodelforforecastingthevolumeofpassengerflowsonSerbianrailways","container-title":"OperationalResearch","page":"271-285","volume":"16","issue":"2","source":"SpringerLink","abstract":"Theaccuracyofpredictingthevolumeofrailwaypassengerflowsisverysignificantbecauseofthevitalroleinthebasicfunctionsoftransportationresourcesmanagement.Althoughdealingwiththisproblemisveryoftenbasedontheuseoftheneuralnetworks,theuncertaintywhichdominatesinthefunctioningoftransportationsystemsisofgreatsignificance.Theneuralnetworkshavebeenusedforthetime-seriespredictionwithgoodresults.Thisresearchcomparedtwomethodstheparametricandthenon-parametricapproach.Thisstudyaimsatpresentingahybridmodelbasedontheintegrationofthegeneticalgorithm(GA)andtheartificialneuralnetworks(ANN)forforecastingthemonthlyvolumeofpassengersontheSerbianrailways.Thisinnovativehybriddemonstrateshowthegeneticalgorithmscanbeusedtooptimizethenetworkarchitecture.Byapplyingtheideaofgeneticalgorithmsintheneuralnetworks,theintegrationisusedsothatonthebasisoftheinputdata,theselectedpopulationrepresentsthenumberofneuronsinthemiddle.Inordertoassessperformances,thedevelopedapproachiscomparedtothetraditionalSARIMAmodelandtheproposedmethodGAANNisbetter.","DOI":"10.1007/s12351-015-0198-5","ISSN":"1866-1505","journalAbbreviation":"OperResIntJ","language":"en","author":[{"family":"Glišović","given":"Nataša"},{"family":"Milenković","given":"Miloš"},{"family":"Bojović","given":"Nebojša"},{"family":"Švadlenka","given":"Libor"},{"family":"Avramović","given":"Zoran"}],"issued":{"date-parts":[["2016",7,1]]}}}],"schema":"/citation-style-language/schema/raw/master/csl-citation.json"}[15]通过运用商业模式理论、商业模式创新理论及决策理论，分析Ａ公司云支付系统整个的项目商业运行过程，从商机决策、技术创新到商业模式构建的整个脉络，对商业模式实现的整个过程进行系统的阐述。同时利用比较分析法，对地铁引入云支付系统之后，从运营、盈利、创新及核心竞争力几个方面，对比AFC系统与云支付系统的绩效进行比较和评定，评估云支付业务的商业价值绩效指标。杨义锋ADDINZOTERO_ITEMCSL_CITATION{"citationID":"eDm9CUYQ","properties":{"formattedCitation":"\\super[6]\\nosupersub{}","plainCitation":"[6]","noteIndex":0},"citationItems":[{"id":563,"uris":["/users/3618251/items/38II2DXT"],"uri":["/users/3618251/items/38II2DXT"],"itemData":{"id":563,"type":"article-journal","title":"AhybridmodelforforecastingthevolumeofpassengerflowsonSerbianrailways","container-title":"OperationalResearch","page":"271-285","volume":"16","issue":"2","source":"Sprin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thedevelopedapproachiscomparedtothetraditionalSARIMAmodelandtheproposedmethodGAANNisbetter.","DOI":"10.1007/s12351-015-0198-5","ISSN":"1866-1505","journalAbbreviation":"OperResIntJ","language":"en","author":[{"family":"Glišović","given":"Nataša"},{"family":"Milenković","given":"Miloš"},{"family":"Bojović","given":"Nebojša"},{"family":"Švadlenka","given":"Libor"},{"family":"Avramović","given":"Zoran"}],"issued":{"date-parts":[["2016",7,1]]}}}],"schema":"/citation-style-language/schema/raw/master/csl-citation.json"}[18]通过对手机电子钱包支付方式的研究，分析中国移动的RF-SIM支付方式在广深线AFC系统的应用的可行性。龚迥ADDINZOTERO_ITEMCSL_CITATION{"citationID":"eDm9CUYQ","properties":{"formattedCitation":"\\super[6]\\nosupersub{}","plainCitation":"[6]","noteIndex":0},"citationItems":[{"id":563,"uris":["/users/3618251/items/38II2DXT"],"uri":["/users/3618251/items/38II2DXT"],"itemData":{"id":563,"type":"article-journal","title":"AhybridmodelforforecastingthevolumeofpassengerflowsonSerbianrailways","container-title":"OperationalResearch","page":"271-285","volume":"16","issue":"2","source":"SpringerLink","abstract":"Theaccuracyofpredictingthevolumeofrailwaypassengerflowsisverysignificantbecauseofthevitalroleinthebasicfunctionsoftransportationresourcesmanagement.Althoughdealingwiththisproblemisveryoftenbasedontheuseoftheneuralnetworks,theuncertaintywhichdominatesinthefunctioningoftransportationsystemsisofgreatsignificance.Theneuralnetworkshavebeenusedforthetime-seriespredictionwithgoodresults.Thisresearchcomparedtwomethodstheparametricandthenon-parametricapproach.Thisstudyaimsatpresentingahybridmodelbasedontheintegrationofthegeneticalgorithm(GA)andtheartificialneuralnetworks(ANN)forforecastingthemonthlyvolumeofpassengersontheSerbianrailways.Thisinnovativehybriddemonstrateshowthegeneticalgorithmscanbeusedtooptimizethenetworkarchitecture.Byapplyingtheideaofgeneticalgorithmsintheneuralnetworks,theintegrationisusedsothatonthebasisoftheinputdata,theselectedpopulationrepresentsthenumberofneuronsinthemiddle.Inordertoassessperformances,thedevelopedapproachiscomparedtothetraditionalSARIMAmodelandtheproposedmethodGAANN