Applications of crowd simulation are numerous such as in computer science that includes study of crowd behaviour under different environmental conditions like panic situation. Therefore, this project will focus on analysis via available literature and to produce more realistic simulation based the microscopic models, namely Social Force Model (SF) that can reproduce individual and collective behaviours observed in real emergency evacuation situation. This paper intend to modify the model that will only pertain to crowd movement behaviour modelling in order to find an exit from a room in panic situation that integrate additional component named Anti-Arching. This also incorporates simple visualization such that it has only a single point per object, whereby the people in crowd will be modelled using particle The modification is also proven aligned with the 'faster-is-slower' effect proposed by Parisi and Dorso [1].
['Hamizan Sharbini', 'Abdullah Bade']
Modification of crowd behaviour modelling under microscopic level in panic situation