Pervasive Computing in the Large: The SOCIONICAL Approach
Sprache des Titels:
djunct Proceedings of the Eighth International Conference on Pervasive Computing, Helsinki, Finland
The SOCIONICAL project aims to develop complexity science based modeling, prediction and simulation methods for large scale socio-technical systems in an AmI based smart environment. Focusing on one of the two scenarios of the project (i.e. crowd evacuation), in this paper, we have presented the scenario based modeling approach utilized. The position of ambient technology of choice (i.e. LifeBelt) in the modeling approach is discussed with realization of required enhancement to support sensing of the collective behavioral patterns (group formation) and information spread. After an overview of the crowd simulation strategies used in previous small scale simulation setup, we present a mixed-level simulation exercise after scaling up the simulation on a large scale. The experimental results of a real evacuation trail at local railway station are incorporated to compare the evacuation efficiency for three strategies: (i) Potential Map, (ii) Evacuees’ familiarity of the exits and (iii) Exits usage optimization. A comparison with the earlier results from small scale simulation suggest that a real large scale simulation results may not be similar to that of small scale simulation due to dynamics of crowd built up and complexity of building structure.