Feature Clustering for Data Steering in Dynamic Data Driven Application Systems
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Proceedings of the 2011 Workshop on Agent-Directed Simulation
Hi-index | 0.00 |
This paper presents a study evaluating the applicability of several different measures to the validation of Agent-Based Modeling simulations against streaming data. We evaluate the various measurements and validation techniques using pedestrian movement simulations used in the WIPER system. The Wireless Integrated Phone-based Emergency Response (WIPER) system is a Dynamic Data-Driven Application System (DDDAS) that uses a stream of cellular network activity to detect, classify and predict crisis events. The WIPER simulation is essential to classification and prediction tasks, as the simulations model human activity, both in movement and cell phone activity, in an attempt to better understand crisis events.