managing traffic can be a challenge, especially in densely populated cities. Overcrowding leads to delays, accidents and hinders the environment, but intelligent technology can assist 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 that can improve urban mobility and transportation systems, like parking lots and traffic lights. These data can be used to make decisions about reducing traffic, increasing safety efficiency, as well as increasing the sustainability of economics.
For instance, when a traffic signal senses that one direction has more vehicles coming in than another, it will automatically retime itself to better serve the drivers. This can save time and fuel for motorists, and decreases carbon emissions from idling cars. Another example is smart traffic lights that make use of machine learning to adjust their timings in line with real-time road conditions like traffic jams or construction zones. This greatly reduces traffic flow interruptions, and can reduce time to travel by 10% or more.
These technologies can aid city planners to avoid costly infrastructure improvements, as well as overcrowding. They can also identify structural problems such a bridges that are unsafe or in construction. Also, they can aid in helping emergency vehicles access the roads swiftly. The chances of a person in a traffic crash surviving are drastically reduced for every minute that an ambulance or firetruck takes to reach the scene.
However, for these and other smart traffic technologies to function efficiently, they require an effective, secure and scalable network infrastructure. This is why Spectrum Enterprise provides the connectivity needed to power IoT sensors in smart traffic management systems and also the interfaces that deliver actionable insights.
https://technologytraffic.com/2022/11/07/successful-ai-tools-for-business-to-test-now/
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