Robust model-based optimization of evacuation guidance. Proefschrift Technische Universiteit Delft TUD.

Author(s)
Huibregtse, O.L.
Year
Abstract

Large scale disasters, such as floods and fires, cause many casualties. By evacuating people from the threatened region, the risk of casualties is reduced. Evacuations are characterized by a high level of uncertainty, like uncertainty in the behavior of the people who will be evacuated. This thesis presents methods that optimize evacuation guidance, consisting of instructions for the people on when and where to go. The resulting guidance is robust regarding the uncertainty and efficient. (Author/publisher)

Publication

Library number
20130315 ST [electronic version only]
Source

Delft, The Netherlands TRAIL Research School, 2013, XVI + 125 p., ref.; TRAIL Thesis Series ; T2013/2 - ISBN 978-90-5584-160-8

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.