Traffic information system based on social media

Abstract

Social networking sites serve a very important role in our daily lives, providing us with a platform where thoughts can be easily shared and expressed. Traffic events can be determined from these sites. This work aims to develop a traffic‐based information system that relies on analysing social media content. Social media content is classified as either traffic-related or non-traffic-related. Traffic-related events are further classified into various traffic-related sub-categories, such as: accidents, incidents, traffic jams, and construction/road works. The date, time, and the geographical information of each associated traffic event are also determined.