Traffic intelligent system architecture based on social media information

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.