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Managing road traffic is not easy, especially in cities with high density. Overcrowding leads to accidents, delays and environmental degradation. Smart technology can help pedestrians and drivers get to where they need to go safely and efficiently.

IoT technology allows the collection of data that can improve urban mobility as well as transportation systems and parking facilities. This data can inform the making of decisions about reducing traffic congestion, improving the safety and efficiency of the system, as well as increasing the sustainability of economics.

If a traffic light detects that more vehicles are traveling from one direction than other, it can automatically adjust its timing to better serve these drivers. This saves motorists fuel and time, and reduces the carbon emissions of idle vehicles. Another example involves smart traffic lights that use machine learning to optimize their timing based upon actual road conditions, for example, heavy traffic or construction zones. This can reduce the time it takes to travel for drivers by up to 10% and significantly reduce the number of traffic disruptions.

These technologies can aid city planners to avoid costly infrastructure improvements, and also overcrowding. They can also detect structural issues like bridges that are unsafe or are under construction. They can also help emergency vehicles get to the road speedily. Every minute that an ambulance or firetruck is delayed in its journey to a traffic accident could drastically decrease the chances of survival for victims.

In order for these and other intelligent technologies to work efficiently they require the support of a reliable, scalable and secure network infrastructure. This is why Spectrum Enterprise provides the connectivity required to power IoT sensors in smart traffic management systems, and also the interfaces technologytraffic.com/2021/07/08/generated-post-2 that offer relevant insights.