IIT Madras Develops Model to Study Crowd Behaviour; Check Details Here

New Delhi:  Indian Institutes of Technology (IIT), Madras have developed fluid dynamic models to study crowd behaviour. These models can improve safety precautions and shed light on how individuals overcome barriers. They are also useful for analyzing how diseases spread across large groups of people, as was the case with the Covid-19 pandemic.

The researchers at IIT Madras have developed a microscopic pedestrian model that takes into account social and behavioural factors, from which a hydrodynamic model was mathematically derived. Equations governing how obstacles interact with pedestrians were formulated.

They have also investigated crowd behaviour when encountering obstacles while aiming for an exit or target.

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These models are applicable to studying interactions among people, vehicles, and robots in various scenarios. The researchers suggest potential applications in autonomous vehicles and robot navigation, according to the university's statement. 

The study's modelling has showcased adaptability across a wide range of real-world situations. It has been applied to analyse vehicular traffic and disease contagion, with potential future applications in driverless cars and robot navigation.

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Professor Dr Thomas Goetz from the University of Koblenz in Germany emphasized the importance of understanding human behaviour in large crowds to prevent accidents.

He said, "Understanding the dynamics of human crowds in mass events like rock concerts, sports, or religious events is a major key to preventing crowd disasters, such as the Love Parade 2010 in Germany or the Hajj 2015 in Mecca, Saudi Arabia. Modelling and simulating the behaviour of human crowds have been hot topics in research over the past decades."

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