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Are you tired of the noisy traffic in the street???Yes,absolutely.But do you know how much noise there is in the street in a period???Do you want to know that?If your answer is yes,this application could help you to a great extent.Steps to use this application:Open this application.Select the time to count cars.Available time includes 10 minutes,15 minutes,20minutes and 25 minutes.The longest time is 30 minutes.After selecting the time,next you need to input the number of light vehicles,heavy vehicles and motorcycles.When all the relevant data is filled in,click the button of Simple Calculation.You will know the noise ratio in one hour,such as 70.2dBA.Beyond the noise ratio,you could also get some advanced calculation.---You will know the distance to center street.---The vehicle average speed could also be accessible.---The condition of surface street could be known.Use this application to calculate the vehicles traffic noise.Have a good time!!!If you like this application,please support it.Rate it 5 stars or share it with others around.++++++++++++++++++++++Important Notification+++++++++++++++++++++++To support us to develop more free and useful application,we add some notification ads or icon ads.But these ads are here just to earn some coins to finance.Thanks for your understanding and love for us!!!+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++Traffic congestion is a condition on road networks which occurs as use increases, and is characterized by slower speeds, longer trip times, and increased vehicular queueing. The most common example is the physical use of roads by vehicles. When traffic demand is great enough that the interaction between vehicles slows the speed of the traffic stream, this results in some congestion. As demand approaches the capacity of a road (or of the intersections along the road), extreme traffic congestion sets in. When vehicles are fully stopped for periods of time, this is colloquially known as a traffic jam or traffic snarl-up. Traffic congestion can lead to drivers becoming frustrated and engaging in road rage.
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