TRAFFIC MANAGEMENT IN DWM

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Traffic Signal Management System
using Data Warehouse & Data
Mining
G R O U P N O - 6 5

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Introduction
 Wh at is a Tr a f f ic Si gn a l M a n a g em e n t S y st e m ?
 ensures smooth vehicle flow
 reduces congestion
 enhances safety
 Wh y D at a Ware h ou se & D a t a M in in g ?
Stores historical traffic data.
Identifies traffic patterns using data mining
techniques.
Helps in adaptive traffic control and decision-making.

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Importance of Data in Traffic Signal
Management
 Tr a f f i c m a n a g e m e n t re l i e s o n re a l - t i m e a n d h i s t o r i c a l d a t a .
 D a t a s o u rc e s i n c l u d e :
 CCTV cameras
 Sensors & IoT devices
 GPS and mobile tracking
 Weather reports
 Accident & congestion reports

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Data Warehouse in Traffic Management
Definition: A centralized repository for structured traffic data.
How It Works?
 Collects data from multiple sources (sensors, GPS, reports).
 Stores data for long-term analysis.
 Supports decision-making for better traffic control.
Components:
 ETL (Extract, Transform, Load)
 Data Marts (e.g., Accident Data Mart, Traffic Flow Data
Mart)
 OLAP (Online Analytical Processing)

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Data Mining in Traffic Management
 Definition: Analyzing large datasets to discover patterns and trends.
 Techniques Used:
 Classification (e.g., categorize traffic congestion levels)
 Clustering (e.g., grouping high-traffic areas)
 Association Rules (e.g., high congestion during office hours)
 Prediction Models (e.g., forecasting future traffic)

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Smart Traffic Signal Management Using IoT and AI

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Future Trends in Traffic Signal Management
 AI and Machine Learning for better traffic
predictions.
 5G-based real-time traffic data processing.
 Blockchain for secure and decentralized traffic
data management.
 Digital Twin Technology for Traffic Simulation

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Conclusion
Data Warehouse and Data Mining play a crucial
role in optimizing traffic signals.
Advanced technologies help reduce congestion
and improve road safety.
Future smart city projects will heavily rely on
data-driven traffic management.

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Thank You