Traffic intelligent system architecture based on social media information

Ari Wibisono, Ibnu Sina, M. Andri Ihsannuddin, Ahmad Hafizh, Benny Hardjono, Adi Nurhadiyatna, Wisnu Jatmiko, Petrus Mursanto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

This paper describes the density of traffic forecasting based on information obtained from social media. Social media twitter can become a source of accurate information as it comes from the verified twitter account i.e police department of republic Indonesia. The tweet (information) from this account is saved in our database. This research is expected to obtain results in the form of a system design and implementation of data traffic forecasting using LVQ algorithms. The result of this research is the capability of the system to give to the mobile device, the traffic information forecasting.

Original languageEnglish
Title of host publication2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings
Pages25-30
Number of pages6
Publication statusPublished - 1 Dec 2012
Event2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Depok, Indonesia
Duration: 1 Dec 20122 Dec 2012

Publication series

Name2012 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012 - Proceedings

Conference

Conference2012 4th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2012
CountryIndonesia
CityDepok
Period1/12/122/12/12

Keywords

  • LVQ
  • Traffic Intelligent System
  • Twitter

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