Management of New Automatic Ticket Vending Machine System in Urban Rail Transit

Author:

Li Yanshuo1,Zhu Hao2,Tian Weigang1,Xiao Chengshun3

Affiliation:

1. Jinan Rail Transit Group Co., Ltd., China

2. Shandong Enguang Energy Technology Co., Ltd., China

3. Operation Branch of Qingdao Metro Group Co., Ltd., China

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.

Publisher

IGI Global

Reference22 articles.

1. Operational grid and environmental impacts for a V2G-enabled electric school bus fleet using DC fast chargers

2. Anda: An Innovative Micro-Location Mobile Ticketing Solution Based on NFC and BLE Technologies

3. A deep-learning based optimization approach to address stop-skipping strategy in urban rail transit lines.;M.Javadinasr;International Conference on Transportation and Development 2022,2021

4. Study on tobacco leave lean production management system.;T.Lei;Agricultural Science and Technology,2014

5. Modelling cascade dynamics of passenger flow congestion in urban rail transit network induced by train delay

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