How to build smart cities with real-time data

Smart cities consist of networks of sensors, cameras, and devices so the public can gain information about their urban environment. Whether it's earthquake alerts or traffic updates, smart cities help make citizens more informed about how their cities function.
The key to unlocking smart cities is to reevaluate how data is managed. These three principles are: data needs to be actively transmitted across channels, needs to be secure, and needs to be scalable.
Today, developments in transportation, crisis response, and energy are paving the way for a smart city future, and data is the key to unlocking these innovations. SPI-модуль
Traffic real-time update
To keep the city running, the government needs to look at how to improve traffic management. Transportation departments must ensure that data is continuously shared and integrated across different locations and computer systems.
When a road accident occurs, it is vital that first responders get to the scene of the accident as quickly as possible. Transportation authorities need real-time information on local congestion levels and road closures.
This enables them to efficiently plan the shortest, fastest, and safest routes for traffic and emergency services needed to reach the scene of an accident. It is also important that citizens have real-time information about the situation so they can plan accordingly.
In this case, a 30-minute or an hour-long delay in processing this data would be very detrimental. This causes unnecessary delays and can even mean the difference between life and death.
A city is always in motion, never static. Likewise, data should always be flowing between networks to provide real-time traffic updates. Getting data to correlate and communicate with each other is also important for a comprehensive understanding of traffic conditions.
Self-driving cars are another smart city application where real-time updates are key. Singapore's Land Transport Authority explained that Singapore is looking to expand the use of self-driving cars in public transport and that onboard sensors will make driverless cars safer and more alert than human drivers.
Having a constant flow of data remains key to keeping self-driving cars safe. The Confluent system can help self-driving cars speed up data processing and analyze data from multiple vehicles in real-time.
Security in Crisis Response
When we talk about moving data between different sources, the most important aspect lies in establishing a secure environment so that data cannot be compromised.
Governments should consider making their services zero downtime. A shutdown system cannot detect threats and is therefore prone to security breaches with potentially devastating consequences.
Most recently, U.S. government computer systems malfunctioned during a deadly tornado outbreak in Winterset, Iowa. This delayed warnings for residents to take shelter and could endanger their lives, according to The Washington Post.
Cloud scalability
Finally, governments need to ensure that their systems can scale up and down to meet the rising and falling demands of citizens. CAN-модуль
The amount of data collected is not consistent throughout. In the energy sector, for example, electricity consumption is highest in the summer months as homes and businesses use air conditioning on hot days.
Governments can use cloud services to solve this problem. When demand increases, instead of building new data centers, the cloud can grow or shrink according to the needs of users.
We also want to look at how to manage data in the most cost-effective way.
Smart cities can be enabled by encouraging developers to build applications using real-time data, securing data, and ensuring data storage systems are scalable. Having data in motion is key to making smart cities resilient and ready to elevate the citizen experience.