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Visual analytics approach to user-controlled evacuation scheduling

 
: Andrienko, G.; Andrienko, N.; Bartling, U.

:

Institute of Electrical and Electronics Engineers -IEEE-:
IEEE Symposium on Visual Analytics Science and Technology 2007 : VAST '07, Sacramento, California, October 30 to November 1, 2007
Los Alamitos, Calif.: IEEE Computer Society, 2007
ISBN: 978-1-4244-1659-2
pp.43-50
Symposium on Visual Analytics Science and Technology (VAST) <2007, Sacramento/Calif.>
English
Conference Paper
Fraunhofer IAIS ()

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 disasteraffected 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.

: http://publica.fraunhofer.de/documents/N-64526.html