Traffic management can be challenging especially in cities with a high population. Overcrowding causes delays, accidents, and stifles sustainability. However, smart technologies can help pedestrians, drivers, and other road users get where they want to go in a safe and efficient manner.

IoT technology permits the gathering of data to enhance urban mobility as well as transportation systems and parking lots. These data can be used to make the decisions to reduce traffic, enhancing safety, efficiency, and increasing the sustainability of economics.

For instance, if an traffic signal detects that one direction has more vehicles arriving than another, it could automatically retime itself to serve the drivers better. This helps motorists save fuel and time, and also reduces the carbon emissions of idle vehicles. Another example is smart traffic lights that use machine learning to optimize their timings based on real-time road conditions like heavy traffic or construction zones. This drastically reduces traffic flow interruptions, and can cut driver travel times by 10 percent or more.

These developments can help city planners avoid costly infrastructure changes, and also overcrowding. They can also identify structural issues, such as bridges that are unsafe or are under construction. And, they can help emergency vehicles access the roads quickly. Each minute that an ambulance or firetruck is delayed in its journey to a traffic accident could drastically decrease the chances of survival for the victims.

In order for these and other intelligent technologies to be effective, they require an effective, scalable, and secure network infrastructure. That’s why Spectrum Enterprise provides the connectivity required to power IoT sensors in smart traffic management systems as well as the interfaces that offer relevant information.

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