Smart Urban Mobility Analytics
Aryan Sharma
The Shri Ram School • Grade 11
TrafficPop analyzes urban traffic patterns and provides actionable insights for city planners and commuters. Using real-time data visualization, it helps optimize traffic flow and reduce congestion. The platform demonstrates how data analytics can solve real-world urban challenges.
Urban congestion costs cities billions annually in lost productivity, fuel waste, and environmental damage. City planners lack accessible tools to visualize traffic patterns and make data-driven infrastructure decisions. Commuters have limited information to optimize their routes.
A comprehensive traffic analytics platform that transforms raw traffic data into actionable insights. TrafficPop provides real-time visualizations, predictive modeling, and optimization recommendations for both city planners and individual commuters.
Aryan showcased advanced technical skills in data analysis, visualization, and predictive modeling. The project demonstrates understanding of urban planning challenges, GIS systems, and how technology can improve quality of life at scale.
Processed and analyzed city traffic datasets
Built interactive data visualization dashboard
Implemented predictive traffic models
Created simulation tools for planners
Presented findings to local government officials
Inspired by daily commute frustrations, Aryan dove deep into traffic engineering research. Through mentorship, he learned to work with large datasets, build compelling visualizations, and translate technical findings into policy recommendations. His work earned recognition from city planning officials.
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