Optimizing Smart City Operations with IoT-Enabled Traffic Management

Industry:
about paysafe

A metropolitan government committed to reducing traffic congestion and improving public safety through cutting-edge IoT technology.

 

Reviewed on
5/5
30
%

Decrease in Traffic Congestion

15
%

Improvement in Emergency Response

24/7

Traffic Monitoring Implemented

50
+

Smart Traffic Signals Installed

The Challenge

Urban centers globally grapple with the challenge of managing ever-increasing traffic volumes, leading to congestion and delayed emergency response times. Our client faced similar issues, with outdated traffic management systems unable to cope with the city’s growing demands. 

 

The lack of real-time traffic data and inefficient signal timings contributed to daily bottlenecks, frustrating commuters and impeding first responders. The city needed a smart, adaptive solution to streamline traffic flow and enhance public safety, ensuring a more sustainable and livable urban environment.

What did
Entiko do

Entiko introduced a state-of-the-art IoT-enabled traffic management system designed to adapt in real-time to changing traffic conditions. We deployed IoT sensors and cameras across critical intersections to gather comprehensive traffic data. 

This data fed into an AI-powered analytics platform that dynamically adjusted signal timings, reducing bottlenecks and improving flow. Our solution included the development of a traffic prediction model, leveraging historical data to forecast peak times and preemptively manage congestion. 

Additionally, we integrated an emergency vehicle priority system, which automatically clears paths for first responders, significantly improving response times.

 

The Results

The technology that we use to support Paysafe

IoT Sensors and Cameras
Machine Learning Algorithms
Node.JS
React
Cloud Services
Java
Objective-C
RxJava

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