Management of New Automatic Ticket Vending Machine System in Urban Rail Transit
The technology of automatic fare collection system for urban rail transit is an important technology for achieving automatic fare collection for public transportation facilities such as urban subways. This article studies the relevant characteristics of the AFC system. Through introducing queuing mo...
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| Published in | International journal of ambient computing and intelligence Vol. 15; no. 1; pp. 1 - 15 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Hershey
IGI Global
2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1941-6237 1941-6245 |
| DOI | 10.4018/IJACI.344796 |
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| Abstract | The technology of automatic fare collection system for urban rail transit is an important technology for achieving automatic fare collection for public transportation facilities such as urban subways. This article studies the relevant characteristics of the AFC system. Through introducing queuing models, simulation comparative experiments, and neural network debugging, it is found that the automatic fare collection system for urban rail transit not only effectively helps station staff to allocate tickets in a timely and reasonable manner, adjust station ticket supply, but also facilitates station passengers to query tickets, and passengers can freely choose whether to take the train according to their actual needs. The experiment shows that the AFC system can effectively help passengers avoid traffic congestion during peak hours, greatly improve management level, and reduce labor intensity. |
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| AbstractList | The technology of automatic fare collection system for urban rail transit is an important technology for achieving automatic fare collection for public transportation facilities such as urban subways. This article studies the relevant characteristics of the AFC system. Through introducing queuing models, simulation comparative experiments, and neural network debugging, it is found that the automatic fare collection system for urban rail transit not only effectively helps station staff to allocate tickets in a timely and reasonable manner, adjust station ticket supply, but also facilitates station passengers to query tickets, and passengers can freely choose whether to take the train according to their actual needs. The experiment shows that the AFC system can effectively help passengers avoid traffic congestion during peak hours, greatly improve management level, and reduce labor intensity. |
| Audience | Academic |
| Author | Xiao, Chengshun Tian, Weigang Li, Yanshuo Zhu, Hao |
| AuthorAffiliation | Shandong Enguang Energy Technology Co., Ltd., China Operation Branch of Qingdao Metro Group Co., Ltd., China Jinan Rail Transit Group Co., Ltd., China |
| AuthorAffiliation_xml | – name: Jinan Rail Transit Group Co., Ltd., China – name: Operation Branch of Qingdao Metro Group Co., Ltd., China – name: Shandong Enguang Energy Technology Co., Ltd., China |
| Author_xml | – sequence: 1 givenname: Yanshuo surname: Li fullname: Li, Yanshuo organization: Jinan Rail Transit Group Co., Ltd., China – sequence: 2 givenname: Hao surname: Zhu fullname: Zhu, Hao organization: Shandong Enguang Energy Technology Co., Ltd., China – sequence: 3 givenname: Weigang surname: Tian fullname: Tian, Weigang organization: Jinan Rail Transit Group Co., Ltd., China – sequence: 4 givenname: Chengshun surname: Xiao fullname: Xiao, Chengshun organization: Operation Branch of Qingdao Metro Group Co., Ltd., China |
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| References | IJACI.344796-1 IJACI.344796-0 T.Lei (IJACI.344796-3) 2014; 15 M.Javadinasr (IJACI.344796-2) 2021 IJACI.344796-11 IJACI.344796-12 IJACI.344796-13 IJACI.344796-14 IJACI.344796-20 IJACI.344796-10 IJACI.344796-21 IJACI.344796-19 IJACI.344796-9 IJACI.344796-8 IJACI.344796-7 IJACI.344796-15 IJACI.344796-6 IJACI.344796-16 IJACI.344796-5 IJACI.344796-17 IJACI.344796-4 IJACI.344796-18 |
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| SubjectTerms | Automatic fare collection Automation Big Data Comparative analysis Data analysis Efficiency Fares International economic relations Inventory Light rail transit Mobile commerce Neural networks Passengers Peak hour traffic Public transportation Queuing theory R&D Research & development Subways Ticket sales Traffic congestion Urban rail Vending machines Vending machines industry |
| Title | Management of New Automatic Ticket Vending Machine System in Urban Rail Transit |
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