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VISUALIZATION AND TRAVEL TIME EXTRACTION SYSTEM FOR THE STATISTICS OF TDCS TRAVEL USING MAPREDUCE FRAMEWORK
Eko Prasetyo(a*,d), Prayitno(c,d), Jing-Doo Wang(d), Karisma Trinanda Putra(b,d)

(a) Department of Informatics Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta 55183, Indonesia
*eko.prasetyo[at]umy.ac.id
(b) Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta 55183, Indonesia
(c) Department of Electrical Engineering, Politeknik Negeri Semarang, Indonesia
(d) Department of Computer Science and Information Engineering, Asia University, Taichung 41354, Taiwan


Abstract

Recently, extracting some information as a knowledge from big data is very challenging activity. The size of data is very huge and it requires some special techniques and adequate processing hardware. It is also apply in vehicles transportation data at Taiwan National Freeway from the Traffic Data Collection System (TDCS). The results of this extraction will be very useful if it can be used by the community. So that the delivery of information extracted from large data that is easily understood becomes a necessary thing. Presentation of results using images / visuals will make it easier for people to interpret the information provided. In this project, an interactive visualization of the results of extracting statistical information is attempted to be provided. The results can be used by users to support the decision making of road users in determining the appropriate time when going through the road pieces around the Taichung City. This visualization of the statistics will help people who want to predict the travel time around Taichung City.

Keywords: big data; Map Reduce; interactive visualization; travel time

Topic: International Symposium of Engineering, Technology, and Health Sciences

Link: https://ifory.id/abstract/Dc7wFmzpfKdC

Conference: The 3rd International Conference on Sustainability and Innovation (ICoSI 2019)

Plain Format | Corresponding Author (Eko Prasetyo)

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