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.
%0 Journal Article
%1 andrienko2008visual
%A Andrienko, Gennady
%A Andrienko, Natalia
%A Bartling, Ulrich
%D 2008
%I Palgrave Macmillan
%J Information Visualization
%K diss inthesis visualization
%N 1
%P 89--103
%R 10.1145/1391107.1391115
%T Visual Analytics Apporach to User-controlled Evacuation Scheduling
%U http://dx.doi.org/10.1145/1391107.1391115
%V 7
%X 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.
@article{andrienko2008visual,
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.},
acmid = {1391115},
added-at = {2017-01-10T09:48:08.000+0100},
author = {Andrienko, Gennady and Andrienko, Natalia and Bartling, Ulrich},
biburl = {https://www.bibsonomy.org/bibtex/24b3a24318e68de7a20901a7c16e2eeb8/becker},
doi = {10.1145/1391107.1391115},
interhash = {07024869b65e6e7f8363e746f8f57b01},
intrahash = {4b3a24318e68de7a20901a7c16e2eeb8},
issn = {1473-8716},
issue_date = {March 2008},
journal = {Information Visualization},
keywords = {diss inthesis visualization},
month = mar,
number = 1,
numpages = {15},
pages = {89--103},
publisher = {Palgrave Macmillan},
timestamp = {2017-01-10T09:51:18.000+0100},
title = {Visual Analytics Apporach to User-controlled Evacuation Scheduling},
url = {http://dx.doi.org/10.1145/1391107.1391115},
volume = 7,
year = 2008
}