1. Kamruddin Md. Nur *, Mahmud Hasan # and Pranab Chandra Saha * * Department of Computer Science & Engineering, Stamford University Bangladesh # Department of Allied Engineering, Bangladesh University of Textiles An Automated Urban Traffic Control System for Heavy Traffic Congestion

2. Research Stream Human Controlled Traffic System Intelligent Traffic Controlling System Machine Controlled Traffic System Adaptive SystemNon-Adaptive System

3. Objectives and Goals Intelligent Traffic Controlling for Poor and Heavily Congested Cities. Intelligent Traffic Controlling by High Performance Algorithm. Traffic Controlling by Both Time Based Mode and Intelligent Mode and their Performance Comparison.

4. Proposed Methodology Vehicle Sensing RTMS or Other Low Cost Sensors Local Controller 1 or Local Agent 1 Local Controller 2 or Local Agent 2 Vehicle Sensing RTMS or Other Low Cost Sensors Local Controller n or Local Agent n Vehicle Sensing RTMS or Other Low Cost Sensors Global Controller or Global Agent

5. Proposed Methodology (contd.) R1 R2 R3 R4 Global Controller or Global Agent Local Controller Local Controller Index Set of (Adjacent Controller, No. of Waiting Vehicles) Global Controller Knowledge Base

6. Time Based Performance Studies

7. Intelligent Mode Performance Studies

8. Performance Comparison

9. Thank You