Gregory R. Madey, Albert-László Barabási, Nitesh V. Chawla,

Marta Gonzalez, David Hachen, Brett Lantz, Alec Pawling,

Timothy Schoenharl, Gábor Szabó, Pu Wang, and Ping Yan

Y. Shi et al. (Eds.): ICCS 2007, Part I, LNCS 4487, pp. 1090 – 1097, 2007.

© Springer-Verlag Berlin Heidelberg 2007

WIPER is designed for real-time monitoring of normal social and geographical communication and activity patterns of millions of cell phone users, recognizing unusual human agglomerations, potential emergencies and traffic jams. WIPER uses streams of high-resolution data in the physical vicinity of a communication or traffic anomaly, and dynamically injects them into agent-based simulation systems to classify and predict the unfolding of the emergency in real time. The agent-based simulation systems dynamically steer local data collection in the vicinity of the anomaly. Distributed data collection, monitoring, analysis, simulation and decision support modules are integrated to generate traffic forecasts and emergency alerts for engineering, public safety and emergency response personnel for improved situational awareness.

The paper is from 2007 and still relevant and highly valuable when discussing future directions of systems to provide common operating pictures and improved situational awareness.