Overview
Appropriate models for the analysis of security strategies at airports exist both macro and microscopically. None of these models allow for simulations across all modes of transport. OPAL is the most recent and promising of these approaches. It is based on a central database, which contains the necessary data for the data transfer between the different models integrated into OPAL. A standardization of the data in the simulation systems for assessing security concepts and the verification in an appropriate integration platform is still missing. A continuation of the OPAL approach for evaluating comprehensive security concepts “seat to seat” or for assessing the current to and to be expected security levels during operation has not been done yet.
In the framework of joint project Lufo III S3, in sub-project D the German Air and Space Research Centre (DLR) focusses on the development and implementation of a model platform (I Lab) for linking different airport terminal models. This represented the possibility for data transfers between simulation models of the consortium partners. Besides, I Lab should serve as a data base and integration platform for further simulation models in the future.
DLR was responsible for the following work packages:
- 3100: I Lab database
- 3200: I Lab controls
- 3300: support for the interface implementation of the simulations
- 3400: analysis and optimization of the database and interfaces
Funding
Results
The I Lab does in the first place serve as an interface between the terminal simulation developed with the support of the Arena model of SAT GmbH/ ABS AG and the emergency simulation developed by TU Dresden. Because of the open architecture, both the data base and the interface software can relatively easy be expanded through the further integration of simulation models.
Findings of the study are published in detail by a final report (German only) which is available online via https://www.tib.eu/suchen/download/?tx_tibsearch_search%5Bdocid%5D=TIBKAT%3A537592520&tx_tibsearch_search%5Bsearchspace%5D=tn&cHash=602778fee33f67f5663cc064cda1efae#download-mark