17 citations · 17 across the 2 of their papers we have counts for
2 papers
nlin.AO2022★ 17 cited
An all-densities pedestrian simulator based on a dynamic evaluation of the interpersonal distances
E. Cristiani, M. Menci, A. Malagnino +1
In this paper we deal with pedestrian modeling, aiming at simulating crowd behavior in normal and emergency scenarios, including highly congested mass events. We are specifically c…
math.DS2022
Preventing congestion in crowd dynamics caused by reversing flow
Giuseppe G. Amaro, Emiliano Cristiani, Marta Menci
In this paper we devise a microscopic (agent-based) mathematical model for reproducing crowd behaviour in a specific scenario: a number of pedestrians, consisting of numerous socia…