采用人脸识别支付的地铁自动售检票系统避免重复计费的方案研究
王大彬1栗兰林2李茂圣3方亚敏3
Scheme of Avoiding Repeated Charges in Metro AFC System with Face Recognition Payment
WANG DabinLI LanlinLI MaoshengFANG Yamin
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作者信息:1.云南交通职业技术学院, 650500, 昆明
2.昆明地铁运营有限公司， 650032， 昆明
3.云南南天电子信息产业股份有限公司， 650041， 昆明
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Affiliation:Yunnan Communications Vocational and Technical College, 650500, Kunming, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2023.07.016
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中图分类号/CLCN:U293.22
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栏目/Col:研究报告
摘要:
目的：开通人脸乘车服务的乘客在使用有感支付过闸机时，易被闸机上的人脸识别终端采集到人脸信息，误生成人脸识别支付交易数据，导致重复计费的问题。这一问题亟待解决。方法:根据乘客过闸机支付习惯，在使用有感支付时，是不应存在人脸识别支付的。基于此，提出了采用人脸识别支付的地铁自动售检票系统避免重复计费的方案，并特别提出闸机通行和单边行程调整算法，即在闸机处，较短时间内存在同一乘客的人脸识别支付请求和有感支付请求时，仅生成有感支付的交易数据，不生成人脸识别支付交易数据，继而就不会对人脸识别支付进行计费；在系统进行日切时，会自动删除同一乘客的相似（交易信息基本相同）行程中的人脸识别支付单边行程，避免了此单边行程计费。结果及结论：在不影响乘客正常通行闸机的情况下，在闸机处不仅有效地避免误生成人脸识别支付交易数据，而且也能在系统日切时有效地删除误生成的人脸识别支付单边行程，从而有效解决了人脸识别支付重复计费的问题。
Abstracts:
Objective: When passengers who have activated face recognition payment service use touch payment at metro gate machine, their information might be collected by face recognition terminals on the gate machine, resulting in erroneous generation of face recognition payment transaction data and duplicated charges. This problem needs to be solved. Method: According to the payment habits of passengers at gate machine, there should not be face recognition payment when touch payment is used. Based on this, a scheme to avoid duplicated charges in metro AFC (automatic fare collection) system with face recognition payment is proposed, and an adaptive algorithm for gatepassing and unilateral trip is specifically proposed, meaning that at the gate machine, when both face recognition payment and touch payment requests are initiated for the same passenger in a short period of time, only the touch payment transaction data will be generated while the face recognition payment transaction data will not be generated, thereby avoiding charges for face recognition payment; additionally, when the system performs a daily cutoff, the face recognition payment for similar trip (transaction data is generally the same) by the same passenger will be automatically deleted, thereby avoiding charges for this unilateral trip. Result & Conclusion: Without affecting the normal gatepassing of passengers, this method effectively avoids the erroneous generation of face recognition payment transaction data and eliminates erroneous face recognition payment of unilateral trip during the system daily cutoff, thereby effectively solving the problem of face recognition payment duplicated charges.
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