For example, meteorological parameters or meteorological data may be considered as a common variable for both modeling. Are there any other parameters which may exist and can be taken into account for a road traffic modeling scenario?
(1) geographical and land-use data (e.g., roadways, buildings, types,elevations, use, distances from roadways, natural and man-made obstacles/structures)
(2) traffic data (density, patterns, speeds, vehicle types)
(3) potential contributing sources (of air pollution and noise)
There must be information on noise, produced by most popular types of vehicles in publications on life safety, human health or ecology. You can take the average noise level or 2-5 most common levels in your model.
And you can take into account the reduction of the noise level at a distance in different types of terrain (park, urban area, open area). The last can be taken for air pollution too (plants absorb contaminants, buildings create turbulence and different speed of spreading or stagnation in one place of contaminated air masses).
I have tried to couple traffic related emissions and noise at a location close to a city motorway in Maastricht the Netherlands. Using measured noise with different noise characteristics to propose noise (measured by cheap microphones) as a proxy for the ambient levels of nitrogenoxides, PM and UFP. At least at the chosen location this proved to be very difficult.
Even with high Spearman correlations between some noise characteristics and air pollutants levels, it was practically impossible to model pollutants by measurung noise, even after adding some meteorological parameters to the (linear regression) model I tried to find. Take a look at my report on researchgate:
Thank you for sharing this useful information. In the published literature so far, I have noticed low correlations between air pollution and noise levels. It may also mean that we are missing some parameters from these analyses which could facilitate in better understanding of their associations. Feel free to share your candid views. Best, Jibran