Description:

The Traffic Flow Prediction System is a web-based data analytics application that uses real-time IoT traffic sensor data, GPS inputs from vehicles, and historical traffic patterns to forecast traffic congestion levels for specific routes or intersections.

By applying time-series forecasting and machine learning models (such as LSTM or Random Forest Regression), the system predicts how traffic will evolve in the next few minutes or hours. It helps drivers plan alternative routes and allows city traffic management authorities to optimize signal timings and reduce congestion.

Key Features:

1. Real-Time Data Collection – Integrates live feeds from IoT traffic cameras, GPS trackers, and public APIs like Google Traffic.

2. Historical Data Analysis – Uses past traffic flow records to understand daily, weekly, and seasonal patterns.

3. Traffic Congestion Forecasting – Predicts congestion levels and average travel times for different routes.

4. Interactive Map Visualization – Displays traffic flow on a city map using color codes (green, yellow, red).

5. Alternative Route Suggestions – Suggests less congested paths in real time.

6. Weather Impact Analysis – Correlates weather conditions with traffic patterns to improve predictions.

7. Mobile-Friendly Dashboard – Responsive design for both desktop and mobile users.

8. Data Export Option – Allows authorities to download traffic trend reports for planning.

Technology Stack:

• Backend: Node.js / Java / PHP (REST API for data handling)

• Frontend: HTML, CSS, Bootstrap, JavaScript (Leaflet.js or Google Maps API for maps)

• Database: MySQL or MongoDB (for storing traffic data)

• Data Science Layer: Python (pandas, NumPy, scikit-learn, TensorFlow for forecasting models) integrated with backend APIs

• Data Sources: IoT sensors, GPS trackers, open traffic data APIs

Example Use Case:

• In a smart city, the system collects GPS and sensor data from multiple intersections.

• It predicts that Main Street will experience a 60% traffic increase in the next 30 minutes due to an accident.

• The system sends alerts to navigation apps and suggests alternate routes for drivers, helping reduce delays and prevent traffic buildup.