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4 Top Applications of IoT in Smart Cities

The Internet of Things (IoT) enables smart city initiatives worldwide. The main features of a smart city include a high degree of information technology integration and a comprehensive application of information resources. The essential components of urban development for a smart city should include smart technology, smart industry, smart services, smart management, and smart life. provides the ability to remotely monitor, manage, and control devices and to create new insights and actionable information from massive streams of real-time data.


Public transport - connected

Lublin, a Polish city, won the 2016 award of "Smart City of the Year", thanks to its innovative passenger information system for connected public transport.
This type of smart fleet management transmits real-time data to dispatch center software, which then relays that information to electronic displays at bus stops and to online portals. This resulted in more efficient public transportation, cutting waiting times, and boosting reliability.

Using in smart city initiatives brings full control over projects at unmatched levels of data sovereignty, control, and communication. gives the advantage not only based on the real-time knowledge of the situation.


Intelligent city lighting

Lighting is by far one of the most prevalent examples of applications for smart cities, and many municipalities today are turning to IoT solutions for cost savings and energy reduction. in smart cities can give real-time data on the location of bulbs and identify whether there was a theft or the system has a malfunction.
Monitoring the energy consumption and implementing the sun models help to save energy, reduce the carbon footprint, and protect the inhabitants of a city by lighting the way in the best possible way.


Air quality monitoring

Air pollution is plaguing more people, as 90% of the world's population kills an estimated seven million people worldwide every year, according to several international studies. WHO data shows that 9 out of 10 people breathe air that exceeds WHO guideline limits and contains high levels of pollutants, with low- and middle-income countries suffering from the highest exposures.

That pollution, be it from traffic, industry, waste, or airplanes, causes municipalities enormous economic harm. Chicago, as an example, is one of several cities using IoT sensors to collect a variety of air quality data, including levels of particulate matter, carbon monoxide, ozone, nitrogen dioxide, and more, as part of its Array of Things initiative. Officials plan to use this data to make the city healthier and more livable. allows searching for patterns and repetitive scenarios to predict high air pollution. It collects previous and real-time data and processes it to identify possible scenarios. Cities improve the effectiveness of their air pollution monitoring by using our digital twin analysis, thanks to the integrated time series analysis.


Smart waste management

Waste management is both costly and inefficient, and waste trucks can cause traffic buildup. Smart waste management solutions can reduce some of these pain points by monitoring the usage of trash cans at any point and sending that data to, which uses the data to provide better waste pick-up routes.
Smart city waste management technology uses Internet of Things (IoT) sensors to provide public works crews with detailed information about trash and recycling bins across the city. The sensors send signals when bins need to be emptied, when hygiene is becoming a problem, when bins have been overfilled, and even when the temperature in a bin rises. Connected with, waste management teams can manage trash and recycling containers more efficiently to keep public areas maintained and clean.

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