Detecting Vehicular Patterns Using a Graph-Based Approach

Abstract

In the VAST 2017 competition, one of the challenges is to discover vehicular traffic patterns for understanding the reasons behind a decrease in the number of nesting pairs of Rose-Crested Blue Pipit. In this work, we present a graph-based approach that analyzes the data for structural patterns in the data. Our approach first reports the normative patterns in the data, and then discovers any anomalous patterns associated with the previously discovered patterns.