Collective adaptive systems are new emerging computational systems consisting of a large
number of interacting components and featuring complex behaviour. These systems are …

Several issues in transferring AI results in crowd modeling and simulation are due to the fact
that control applications are aimed at achieving optimal solutions, whereas simulations have …

The possibility of sensing and predicting the movements of crowds in modern cities is of
fundamental importance for improving urban planning, urban mobility, urban safety, and …

In the paper, a routing algorithm of two sub-algorithms is proposed for consideration of
tactical decisions in a microscopic crowd simulation. One sub-algorithm works in the high or …

The shared space design is applied in urban streets to support barrier-free movement and
integrate traffic participants (such as pedestrians, cyclists and vehicles) into a common road …

A cognitive-based routing algorithm is proposed. Concepts like local form and path
algorithms are developed. Unlike current mainstream routing algorithms assume that all …

The shared space design is applied in urban streets to support barrier-free movement and
integrate traffic participants (such as pedestrians, cyclists and vehicles) into a common road …

The peculiar features of emerging large-scale ubicomp systems require novel approaches to
coordinate their overall activities and functionalities in a decentralized way. In this position …

Simulation of pedestrian and crowd dynamics is a consolidated application of agent-based
models but it still presents room for improvement. Wayfinding, for instance, is a fundamental …

Computer-based simulation of pedestrian dynamics is a consolidated application of agent-
based models but it still presents open challenges. The wayfinding of pedestrians is a …