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Automated Fare Collection System

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Automated Fare Collection System
CHAPTER 1
THE PROBLEM AND ITS BACKGROUND
Introduction
Rail transport in the Philippines is a growing means of transportation for passengers and cargo in the country. Such means of transportation are used typically for rapid transport within major cites as well as long distance travel. The Philippine railway network consists of one commuter rail service provided by the Philippine National Railways (PNR), and a rapid transit system operated by the Light Rail Transit Authority and Metro Rail Transit Corporation.
Rail transport in the Philippines has been running for over 120 years. The Philippine National Railways is a state-owned railway system in the Philippines, organized under the Department of Transportation and Communications (DOTC) as an attached agency. Unlike the two transit system operated by MRT Corporation and LRT Authority, PNR has been beset with problems regarding degraded infrastructure and manual ticketing systems in every station. Those problems brought PNR management and the passengers to interruption. Every single day, there are long queues in ticket booths especially in rush hours because of its dawdling system that needs to be automated. For every passenger, time is truly gold thus making use of technology in order to produce a fast and reliable ticketing system would be significantly feasible.

Background of the Study
Transit fare collection technology has evolved from the manual – based systems in used before 1970 to automated systems with computer – based hardware and software. These major advancements in fare collection have been made possible through advances in the design of fare media, the use of micro-processors and software in fare collection equipment, and the development of sophisticated control and data communications systems. A more-recent innovation has been the development of contactless smart cards, which have very quick transaction speeds required in transit applications.
PNR has a lot of passengers each day even if

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