sRADAR: A Complex Event Processing and Visual Analytics System for Maritime Intelligence

Maritime Intelligence is about empowering users in a port ecosystem with data and visual analytics to increase the efficiency and effectiveness of maritime operations. In this context, discovery and visualization of ship domain violations based on the analysis of trajectories generated by ships could serve important navigational and business purposes. Finding patterns of domain violations in a large trajectory database, however, is a non-trivial task, primarily due to the combinatorial nature of the problem. In this paper, we present a system, sRADAR, which models such trajectories, applies complex event processing on the data streams to identify such domain violations, performs analytics to derive useful insights into the recorded data, and helps visualizing the result of such geo-spatial analytics. To evaluate our proposal, we setup an Automatic Identification System for collecting real trajectories of ships arriving at the port of Singapore. We discuss some preliminary results on domain violations and the efficiency of our system using the real-time data collected by our system.