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Evacuation based extension of the system optimal dynamic traffic assignment problem
Publikationstyp
Conference Presentation
Publikationsdatum
2022-09
Sprache
English
Author
Rüpke, John Micha
Citation
International Conference on Operations Research (OR 2022)
Contribution to Conference
Publisher
KIT
The system optimal dynamic traffic assignment (SODTA) is a well-known problem for evacuation planning. While the SODTA provides an easy-to-use framework for traffic assignment, due to its linearity and natural integer variables, in its original form the SODTA also has several shortcomings with respect to its usefulness for realistic evacuation cases. These shortcomings include a) a lack of consideration of non-controllable evacuees and induced background traffic, b) different destination categories as well as evacuees with individual destination preferences, which lead to the well-known FIFO-problem, are not taken into account, c) a lack of consideration of the impact of individual evacuee behaviour.
In this presentation a comprehensive extension of the SODTA is introduced which considers a) the occurrence of non-controllable background traffic, b) the appearance of differing evacuee characteristics regarding destination preferences while prohibiting the occurrence of the well-known holding-back effect adjusted to multiple destinations and c) providing simulation results in order to assess the impacts of evacuee behaviour and the FIFO problem.
An illustrative case study as well as recommended algorithms for the parametrisation of background traffic and destination preferences are presented. The extension of the SODTA is evaluated regarding its usefulness and also its limitations for evacuation planning purposes. Further, the induced error resulting from the FIFO-problem is evaluated and discussed regarding its implications on the real life application of the newly developed model extensions.
In this presentation a comprehensive extension of the SODTA is introduced which considers a) the occurrence of non-controllable background traffic, b) the appearance of differing evacuee characteristics regarding destination preferences while prohibiting the occurrence of the well-known holding-back effect adjusted to multiple destinations and c) providing simulation results in order to assess the impacts of evacuee behaviour and the FIFO problem.
An illustrative case study as well as recommended algorithms for the parametrisation of background traffic and destination preferences are presented. The extension of the SODTA is evaluated regarding its usefulness and also its limitations for evacuation planning purposes. Further, the induced error resulting from the FIFO-problem is evaluated and discussed regarding its implications on the real life application of the newly developed model extensions.
DDC Class
330: Wirtschaft
380: Handel, Kommunikation, Verkehr