Deliverable D2.1b: Integrated, Distributed Simulation Framework based on Second Generation Models and Data

The main focus of this work has been automated abstraction techniques of agents behaviours, namely: 1) Abstraction of cognitive agent models without internal loops by a logic-based stratification approach, 2) Abstraction of cognitive agents with loops by an approach based on logic-based interpretation mappings, and 3) Abstraction of cognitive agents with loops by an equilibria-based approach. Abstracting agent behaviour in this way enables the models described in Chapter 7 (particularly related with human cognition during evacuation) for cellular automata's based simulation. The results of this integrated simulation are reported in Chapter 9. In particular, Chapter 9 reports models integration outcome focusing on "individual", "social" and "information dispersion" aspects. Data driven simulation is another requirement encapsulating modelling and simulation efforts within SOCIONICAL. Simulation based on a concrete scenario is one way of doing it. The other way is to model the simulation based on realistic data. Chapter 8 and 10 describe our efforts in this direction this year. Chapter 8 describes Linz Main Railway Station as a scenario for Technology Assisted Evacuation. This chapter focus on evidence based small scale locomotion, agents densities and knowledge about environment, mobility patterns and spatial and visibility aspects thus addressing "population", "space/environment" and "mobility" aspects. Chapter 10 describes Madrid M30 motorway ring as a scenario for Technology Assisted Transportation. The main focus of the chapter is impact of AmI on merging traffic situation. The simulation in completely data driven based on average speed and lane occupations observed at the traffic counters and clone of an important merging section as simulation testbed.