Mylan Cook – firstname.lastname@example.org
Brigham Young University, Provo, Utah, 84602, United States
Kent. L. Gee, Mark K. Transtrum, Shane V. Lympany
Popular version of 4aCA5 – Big data to streamlined app: Nationwide traffic noise prediction
Presented at the 184 ASA Meeting
Read the abstract at https://doi.org/10.1121/10.0018816
VROOM! Vehicles are loud, and we hear them all the time. But how loud is it near your home, or at the park across town? The National Transportation Noise Map can’t give you more than an average daily sound level, even though it’s probably a lot quieter at night and louder during rush hour. So, we created an app that can predict the noise where, when, and how you want. How loud is it by that interstate at 3 AM, or at 5 PM? Using physics-based modeling, we can predict that for you. Why does the noise sound lower in pitch near the freeway than near other roads? Probably because of all the large trucks. How does the noise on your street during the winter compare to that across town, or on the other side of the country? Our app can predict that for you in a snap.
This (aptly named) app is called VROOM, for the Vehicular Reduced-Order Observation-based Model. It was made by using observed hourly traffic counts at stations across the country. It also uses information such as the average percentage of heavy trucks on freeways at night and the average number of delivery trucks on smaller roads on weekdays to predict sound characteristics across the nation. The app includes a user-friendly interface, and with only 700 MB of stored data can predict traffic noise for roads throughout the country, including near where you live. You don’t need a supercomputer to get a good estimate. The app will show you the sound levels by creating an interactive map so you can zoom in to see what the noise looks like downtown or near your home.
So how loud is traffic near you?