Visual analytics approach to user-controlled evacuation scheduling

Andrienko, G., Andrienko, N. & Bartling, U. (2008). Visual analytics approach to user-controlled evacuation scheduling. Information Visualization, 7(1), pp. 89-103. doi: 10.1057/palgrave.ivs.9500174

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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.

Item Type: Article
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: School of Informatics > giCentre
URI: http://openaccess.city.ac.uk/id/eprint/2848

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