Intelligent People Flow Coordination in Smart Spaces

Marin Lujak, Sascha Ossowski

Abstract: In this paper, we present a short overview of the people flow coordination methods and propose a multi-agent based route recommender architecture for smart spaces which considers the influence of stress on human reactions to the recommended routes. The objective of the architecture is to ensure that people can efficiently move in and among smart spaces while at the same time improve the overall system performance. The functioning of the architecture is demonstrated on a case study. The proposed approach can be used, among others, in route recommendation in smart cities, large public events, and emergency evacuations.