The Internet of Things (IoT) isn’t just a concept anymore – it’s the world we live in. And with IoT devices projected to reach 25 billion this year, we’ve seen significant changes in how people live and work in connected cities.
We’ve come to rely on this exchange of data between our devices and integrated systems to make life more convenient. From shopping, to healthcare, to getting from A to B, and much more, plugging into the IoT creates richer experiences with the people and things we interact with every day.
Traffic apps like Google Maps are relied upon by billions of people every month. These apps use location-based services on phones, satellite imagery, and other hardware and software to provide traffic information while people are on the road. And while they can help drivers avoid traffic congestion and find the quickest routes, they’re not always reliable. Sometimes you won’t get traffic updates until you’re already in the thick of things, and then you’re stuck. But there’s a better way to avoid congestion than relying on apps that can fail with spotty coverage – you can stop congestion before it starts.
The evolution of traffic technology
Traffic technology has evolved from using simple in-ground loops for detection to advanced machine-learning algorithms that adapt as cities change. Big data provides insights into how people are moving throughout the city during the day, creating unique opportunities for traffic departments to improve traffic flow and safety in the community.
Continuous data collection and advanced video technology allow traffic managers to make timely decisions based on the accurate, real-time performance metrics being collected throughout the city’s traffic network. They can dive deep into the data to understand what locations are the busiest at certain times of day, and what types of vehicles are on the road during those times. This information helps cities take a proactive approach to mitigating congestion and improving traffic flow.
Advanced traffic technology can identify the root causes of delays, so that targeted responses can be implemented to resolve these issues and significantly improve the traffic network. Cities can make long-term strategic plans based on accurate data and keep citizens happy by reducing travel times, congestion on the road, and the risk of collisions with the help of Automated Traffic Signal Performance Measures (ATSPMs).
Around the world, cities are improving their traffic networks with technology that takes advantage of the IoT through big data, machine learning, and the cloud. Miovision is a leader in this space, and has helped cities that are experiencing the challenges of commuters and rapid growth improve traffic flow with proven results.
The Internet of Things is growing by the day and innovations are happening at lightning speed. It’s important to future-proof your infrastructure by choosing a traffic technology that can keep pace – one that’s open and flexible so that you’re ready for whatever comes next.
Miovision is not only keeping pace, we’re setting the bar for what traffic technology should do for your city.
Get in touch for more information or better yet, book a demo!