Crowd Dynamics Analysis Using a Bio-inspired Model

Abstract

During emergency situations in buildings (e.g., fire at Grenfell Tower), rapid and safe evacuation is crucial for saving lives of people. Computer models allow determining evacuation times for various emergency conditions. These models offer insights into potential difficulties and offer possible solutions to evacuation challenges (e.g., low visibility, high anxiety, low environmental familiarity) in a short time and at low cost. This project focuses on defining the optimal location of guidance signs on evacuation route networks in building using optimisation and simulation with the aim of avoiding congestion. A bio-inspired optimization is introduced into the Social Force Model in order to avoid high density areas while following the fastest route.