Smart Traffic Management Using IoT and Wireless Sensor Networks: A Case Study Approach

Abstract

Today’s world is being rapidly urbanized, and managing traffic congestion 
has become a highly complex task. Urban mobility is evolving as cities grow 
and vehicle ownership increases and traditional traffic management systems 
cannot keep up with the new dynamics of contemporary city life. This arti
cle presents an idea to address this important problem by means of IoT and 
smart traffic management systems with wireless sensor networks. With the 
convergence of IoT and wireless sensor networks now open for possibilities, 
the real time traffic monitoring, analysis, and control has found new ways. 
These cutting edge technologies provide opportunities for cities to design 
more adaptive and forward looking traffic management solutions that even
tually enable an optimized traffic flow, reduced congestion and better urban 
mobility. A smart traffic management system implemented in a populous me
tropolis combining IoT, and wireless sensor network has been the subject of 
this comprehensive case study. Through this innovative approach to urban 
traffic control, we examine the system architecture, key components, data 
collection and analysis methods and tangible benefit resulting from this ap
proach to urban traffic control.