Abstract
An analysis of the current traffic management system in Uyo, an urban city in Nigeria showed a heavy dependence on the use of traffic wardens. Where traffic control lights operate, they are based on fixed time allocation which often results in traffic congestion on the more operational lane and hinders the rescue work of first responders. This study proposes a traffic management system (TMS-ETD) that prioritizes the passage of Emergency vehicles over the lane with the longest waiting Time, and lastly the lane with highest traffic Density. The Dynamic Systems Development Method (DSDM) guided this work. A testbed to demonstrate the practicability of this model was designed using HC-SR505 IR sensor to measure traffic density and send the data to PIC 16F770A microcontroller, programmed using MikroC PRO version 6.0.0, for processing. The model was simulated using Proteus 8 professional version 8.6 where results showed a smoother passage of emergency vehicles necessary to safeguard lives and properties. Keywords: Traffic control, Queuing analysis, Actuators, Infrared Image sensors, Wireless sensor networks
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