Software development of automatic data collector for bus route planning system

NCUIR > College of Electrical Engineering & Computer Science > Department of Computer Science and information Engineering > journal & Dissertation > Item 987654321/107280

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/107280

Title:	Software development of automatic data collector for bus route planning system
Authors:	梁德容;Brata, Adam Hendra;Liang, Deron;Pramono, Sholeh Hadi
Contributors:	資訊電機學院資訊工程學系
Keywords:	Accumulators;Algorithms;Automation;Buses (vehicles);Collectors;Mathematical analysis;Mathematical models;Public transportation
Date:	2015-02-01
Issue Date:	2026-04-23 14:05:15 (UTC+8)
Publisher:	Institute of Advanced Engineering and Science (IAES);Yogyakarta: IAES Institute of Advanced Engineering and Science
Abstract:	摘要： Public transportation is important issue in Taiwan. Recently, mobile application named Bus Route Planning was developed to help the user to get information about public transportation using bus. But, this application often gave the user inaccurate bus information and this application has less attractive GUI. To overcome those 2 problems, it needed 2 kinds of solutions. First, a more accurate time prediction algorithm is needed to predict the arrival time of bus. Second, augmented reality technology can be used to make a GUI improvement. In this research, Automatic Data Collector system was proposed to give support for those 2 solutions at once. This proposed system has 3 main functionalities. First, data collector function to provide some data sets that can be further analyzed as an base of time prediction algorithm. Second, data updater functions to provide the most updated bus information for used in augmented reality system. Third, data management function to gave the system better functionality to supported those 2 related systems. This proposed Automatic Data Collector system was developed using batch data processing scenario and SQL native query in Java programming language. The result of testing shown this data processing scenario was very effective to made database manipulation especially for large-sized data. 出版者： Yogyakarta: IAES Institute of Advanced Engineering and Science 出版日期： 2015-02-01 出處： International journal of electrical and computer engineering (Malacca, Malacca), 2015-02, Vol.5 (1), p.150-157 版權： Copyright IAES Institute of Advanced Engineering and Science Feb 2015 識別號： ISSN: 2088-8708 識別號： EISSN: 2088-8708 識別號： DOI: 10.11591/ijece.v5i1.pp150-157
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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