Abstract :

The Rapid Growth Of Urbanization And Vehicular Density Has Significantly Increased Traffic Congestion Worldwide, With Over 1.4 Billion Vehicles On Roads And Urban Traffic Delays Causing Nearly 20–30% Productivity Loss In Major Cities, While Smart Traffic Management Systems Are Expected To Grow At Over 18% Annually. Additionally, Inefficient Lane Utilization During Peak Hours Leads To Severe Congestion, Fuel Wastage, And Increased Carbon Emissions, Highlighting The Need For Adaptive Infrastructure Solutions. Traditional Traffic Management Systems Rely On Static Dividers And Fixed Lane Allocations, Which Fail To Adapt To Fluctuating Traffic Conditions, Resulting In Inefficient Road Usage, Increased Delays, And Higher Accident Risks. Moreover, Manual Traffic Control Methods Are Labour-intensive, Less Responsive, And Lack Real-time Data-driven Decision-making Capabilities. To Overcome These Challenges, The Proposed IoTenabled Automated Moving Divider System Utilizes ZigBee Wireless Communication To Create A Smart And Adaptive Traffic Management Solution. The System Integrates Distributed Sensor Networks To Monitor Vehicle Density And Traffic Flow, Transmitting Real-time Data To A Central Processing Unit For Analysis. Based On Traffic Conditions, Motorized Divider Mechanisms Dynamically Adjust Lane Allocation By Shifting Laterally, Optimizing Road Space Utilization. ZigBee Ensures Low-power, Reliable Communication Between Sensors And Actuators, While IoT Integration Enables Remote Monitoring, Data Logging, And Predictive Analytics For Future Traffic Planning. This Intelligent System Enhances Traffic Efficiency, Reduces Congestion And Fuel Consumption, And Supports The Development Of Sustainable And Smart Urban Transportation Infrastructures.

Published:

14-4-2026

Issue:

Vol. 26 No. 4 (2026)

Page Nos:

1681-1687

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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