Abstract
Widely adoption of GPS-enabled devices generates massive trajectory data every minute. The trajectory data can generate meaningful traffific patterns. In this demo, we present a system called PARecommender, which predicts traffific conditions and provides route recommendation based on generated traffific patterns. We fifirst introduce the technical details of PARecommender, and then show several real cases that how PARecommender works