Traffic intelligent system architecture based on social media information

Author

Wibisono, A. ; Sina, I. ; Ihsannuddin, M.A. ; Hafizh, A. ; Hardjono, B. ; Nurhadiyatna, A. ; Jatmiko, Wisnu ; Mursanto, d.P.

Author_Institution

Fac. of Comput. Sci., Univ. Indonesia, Depok, Indonesia

fYear

2012

fDate

1-2 Dec. 2012

Firstpage

25

Lastpage

30

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.

Keywords

forecasting theory; social networking (online); traffic information systems; LVQ algorithms; data traffic forecasting; mobile device; police department; republic Indonesia; social media information; traffic information forecasting; traffic intelligent system architecture; verified twitter account; Cameras; Classification algorithms; Databases; Intelligent systems; Mobile handsets; Servers; Vehicles; LVQ; Traffic Intelligent System; Twitter;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Science and Information Systems (ICACSIS), 2012 International Conference on

Conference_Location

Depok

Print_ISBN

978-1-4673-3026-8

Type

conf

Filename

6468762