Visual analytics apporach to user-controlled evacuation scheduling

Authors:
Gennady Andrienko;Natalia Andrienko;Ulrich Bartling
Affiliations:
Fraunhofer Institute for Intelligent Analysis and Information Systems, Schloss Birlinghoven, Sankt Augustin, Germany;Fraunhofer Institute for Intelligent Analysis and Information Systems, Schloss Birlinghoven, Sankt Augustin, Germany;Fraunhofer Institute for Intelligent Analysis and Information Systems, Schloss Birlinghoven, Sankt Augustin, Germany
Venue:
Information Visualization - Special issue on visual analytics science and technology
Year:
2008

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Abstract

Application of the ideas of visual analytics is a promising approach to supporting decision making, in particular, where the problems have geographic (or spatial) and temporal aspects. Visual analytics may be especially helpful in time-critical applications, which pose hard challenges to decision support. We have designed a suite of tools to support transportation-planning tasks such as emergency evacuation of people from a disaster-affected area. The suite combines a tool for automated scheduling based on a genetic algorithm with visual analytics techniques allowing the user to evaluate tool results and direct its work. A transportation schedule, which is generated by the tool, is a complex construct involving geographical space, time, and heterogeneous objects (people and vehicles) with states and positions varying in time. We apply task-analytical approach to design techniques that could effectively support a human planner in the analysis of this complex information.