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Chandigarh Traffic Congestion Analysis by Aditya khanna is a document available to read on EtoBox.

The case study analyzes traffic congestion in Chandigarh using GPS data and machine learning to identify congestion hotspots and predict traffic patterns. Key methodologies include data scaling, point visualization, and addressing challenges like data imbalance and noise. Insights gained led to improved traffic management and road planning through effective visualization and analysis.

Author

Aditya khanna

Language

EN