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The study sheds light on the mathematical underpinnings of crowd behavior and highlights its relevance for urban planning in India-a country known for its high population density and bustling public spaces. From railway stations to large-scale events like festivals or political rallies, instances of overcrowding often lead to inefficiencies and risks.
Understanding the “critical angle” could help planners design more efficient sidewalks or crosswalks by accounting for natural human tendencies toward lane formation while minimizing disruptions caused by angular spread deviations. This research also has potential applications for improving safety measures in crowded areas where sudden confusion could alter movement patterns-significantly relevant during emergencies.In IndiaS push towards smarter cities infrastructure under programs like “Smart Cities Mission,” data-driven approaches such as this offer valuable tools for better transportation systems and public space design that account not just for capacity but human mobility dynamics as well.