Innovation- and research programmes at TU Delft Safety and Security Institute (DSyS) June 8th 2017 HSD Cafe Pieter van Gelder
Safety and Security Science Is about scientific analysis of undesired events (intentional and unintentional) At TU Delft we aim to quantify and optimize safety and security by technical and socio-technical measures.
We are always looking for cases Research goals How to improve the risk management methodologies? How to improve the data analytics? How to improve the system of systems approach? Bayesian networks Machine Learning / AI Normative questions Algorithmic issues MCDM We are always looking for cases
Bow-tie Model: BUT: Everything leading up to the accident Everything following the accident Fault tree Event tree BUT: Logic is NOT deterministic Causality is probabilistic Human influence certainly not deterministic New sort of construct: Bayesian Belief Net Barriers
BBN for road infrastructure There is an arc from EWE to node Qi, which is the intensity of flow at the location of bridge Bi Each Qi has three states, namely State0, State1, and State2, denoting low, medium, and high intensity flow Each bridge Bi has only two states, namely State0 and State1, representing the failure and operation of the bridge
CATS Causal Model for Air Transport Safety 1400 nodes 5000 arcs air traffic control
Game theory
Attack trees
Balance of safety and costs Dantzig, D. van, 1960, The economic decision problem concerning the safety of the Netherlands against storm surges; Report of the Delta Commission, Contribution II.2, p 59-110.
Van Gelder, P.H.A.J.M., 1999. “Statistical Methods for the Risk-Based Design of Civil Structures”, Communications on Hydraulic and Geotechnical Engineering, ISSN:0169-6548 00-1
DSyS field labs Campus living lab for evacuation exercises Campus living lab for laboratory safety Campus living lab for risk perception Smart Resilient Delta City Index (for flooding)
Invitation Do you want to evaluate the effectivity of your safety / security innovations? Do you want to share data from sensors and join a living lab?