Design of Bill Acceptor for Automatic Fare Collection of Rail Transit

被引：1
|
作者：
Zou Rong [1 ]
Chen Xiangxian [1 ]
Tang Zhifeng [1 ]
Bian Jidong [2 ]
机构：
[1] Zhejiang Univ, Dept Instrumentat Sci & Engn, Hangzhou 310027, Zhejiang, Peoples R China
[2] Zhejiang Univ Technol, Dept Informat Engn, Hangzhou 310023, Zhejiang, Peoples R China
来源：
2014 SECOND INTERNATIONAL CONFERENCE ON ENTERPRISE SYSTEMS (ES) | 2014年
关键词：
AFC system; rail transit; bill acceptor; receive rate; jammed rate; accept speed;
D O I：
10.1109/ES.2014.27
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
To solve the problem of the not high localization degree of China's urban rail transit automatic fare collection systems, a bill acceptor is designed for the rail transit AFC systems. The bill acceptor makes use of magnetic and optical inspection circuit to extract the banknote features like magnetic ink, UV fluorescence, and infrared image. And then apply the PCA algorithm to reduce the dimensionality and build the template. Define two Euclidean distances between the test banknote and the template as the similarity to discriminate the currency. The tests have shown the effectiveness of the system. The banknote jammed rate and receive rate can achieve the industry engineering requirement and the processing speed is significantly improved.
引用
收藏
页码：179 / 183
页数：5
相关论文
共 50 条
  • [1] Regression Testing for Automatic Fare Collection System of Rail Transit
    Cheng, Mo
    Zhang, Maolin
    [J]. PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND COMPUTER APPLICATIONS (ICSA 2013), 2013, 92 : 316 - 326
  • [2] The application of distributed computing technique in rail transit automatic fare collection system
    Zhang, Ning
    Yang, Liqiang
    He, Tiejun
    Huang, Wei
    [J]. DCABES 2007 Proceedings, Vols I and II, 2007, : 121 - 124
  • [3] Validating Rail Transit Assignment Models with Cluster Analysis and Automatic Fare Collection Data
    Zhu, Wei
    Zhou, Feng
    Huang, Jiajun
    Xu, Ruihua
    [J]. TRANSPORTATION RESEARCH RECORD, 2015, (2526) : 10 - 18
  • [4] Study on the topology and dynamics of the rail transit network based on automatic fare collection data
    Lin, Pengfei
    Weng, Jiancheng
    Fu, Yu
    Alivanistos, Dimitrios
    Yin, Baocai
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2020, 545
  • [5] Rail Transit Travel Time Distribution and Prediction Based on Automatic Fare Collection Data
    Ma Kun
    Wen Jiaxing
    Wang Qi
    [J]. PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, COMPUTER AND SOCIETY, 2016, 37 : 120 - 123
  • [6] Estimating Train Choices of Rail Transit Passengers with Real Timetable and Automatic Fare Collection Data
    Zhu, Wei
    Wang, Wei
    Huang, Zhaodong
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2017,
  • [7] AUTOMATIC FARE COLLECTION IN TRANSIT - A SYNTHESIS OF CURRENT PRACTICE
    ABKOWITZ, M
    DRISCOLL, MK
    [J]. TRANSPORT REVIEWS, 1987, 7 (01) : 53 - 63
  • [8] Zone Fare System Design in a Rail Transit Line
    Yang, Yi
    Deng, Lianbo
    Wang, Qing
    Zhou, Wenliang
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2020, 2020
  • [9] Schedule-Based Rail Transit Path-Choice Estimation using Automatic Fare Collection Data
    Sun, Yanshuo
    Schonfeld, Paul M.
    [J]. JOURNAL OF TRANSPORTATION ENGINEERING, 2016, 142 (01)
  • [10] Estimation of passenger route choices for urban rail transit system based on automatic fare collection mined data
    Cheng, Gang
    Zhao, Shuzhi
    Xu, Shengbo
    [J]. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 41 (11) : 3092 - 3102
12345