Interactive and Collaborative Visual Analysis on Traffic Sensor Data

Abstract

In VAST Challenge 2017, we propose an interactive and collaborative visual analytic system for the analysis of traffic sensor data. Our system fully incorporates the power of spatial-temporal visualization, sequence mining techniques and collaborative analysis. It allows users to conduct multi-facet and interactive data analysis in a highly efficient way. We discuss technical details in this report, and demonstrate the effectiveness of our system via convincing cases.