2015
DOI: 10.1002/cav.1629
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Towards more behaviours in crowd simulation

Abstract: While collision avoidance has been the most active topic in pedestrian simulation, the modelling of other kinds of behaviours appears to be essential for better realism. Thus higher cognitive levels of perception and behaviour improve simulation quality. Furthermore, giving an agent the possibility to choose the nature of its interactions with the others can not only improve simulation realism but also bring heterogeneity in the simulated population because each agent individually perceives the situation accor… Show more

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Cited by 23 publications
(24 citation statements)
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References 41 publications
(57 reference statements)
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“…Among them, researchers focus on group sports behavior simulation. For example, social force model [22], cluster system model [7]- [8], particle system model [23], etc. The influences of personnel density, fire location, exit width, fire spreading rate, and smoke spreading rate, on the evacuation efficiency were analyzed in detail [24].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Among them, researchers focus on group sports behavior simulation. For example, social force model [22], cluster system model [7]- [8], particle system model [23], etc. The influences of personnel density, fire location, exit width, fire spreading rate, and smoke spreading rate, on the evacuation efficiency were analyzed in detail [24].…”
Section: Related Workmentioning
confidence: 99%
“…Most behavioral simulations are based on agent models [5]- [6] or cluster system models [7]- [8]. (Those models are the based model to simulate the evacuation behavior.)…”
Section: Introductionmentioning
confidence: 99%
“…The SFM is one of the most popular and effective model to simulate crowds. Lemercier et al proposed a velocity‐based model and presented behavioral rules based on perception to make agents heterogeneous. However, this produced group waves in the crowd formation.…”
Section: Related Workmentioning
confidence: 99%
“…Schuerman et al [SSKF10] represented the whole group as a new type of agent. Lemercier and Auberlet [LA15] introduced behavioral laws to simulate group avoidance. Bruneau et al [BOP15] used Virtual Reality to study how real humans behave when avoiding groups.…”
Section: Related Workmentioning
confidence: 99%
“…Analysis Crowd simulation has been very active recently and many different models have been proposed to simulate them; most of them are designed to first consider crowds made of individual agents. It is only in a second step that they are then extended to consider moving groups [SSKF10, LA15, BOP15]. However, those extensions generally focus on one specific aspect of group behaviors, like flocking, leading and following, moving in formations, etc.…”
Section: Related Workmentioning
confidence: 99%