This project aims to build a BI dashboard that analyzes traffic flow and congestion data to identify peak traffic patterns. The system will support urban planners in optimizing traffic management and infrastructure development.
Collect traffic sensor or simulated traffic datasets.
Preprocess time-series and location-based data.
Design a data warehouse for traffic analytics.
Implement ETL processes to integrate datasets.
Develop dashboards showing congestion levels and peak hours.
Analyze route-wise traffic density.
Identify recurring congestion hotspots.
Perform trend analysis for traffic growth.
Enable interactive geographic visualizations.
Validate insights through historical data comparison.
Document urban planning recommendations.
