Systems and methods for fine-grained traffic noise prediction

A system, comprising:

• a memory;
• and
• a processing device, coupled to the memory, configured to perform operations, comprising:
• obtaining location data indicating one or more locations and, for each respective location of the one or more locations, location-specific traffic data,
• for each respective location of the one or more locations:
• predicting, using a vehicle count model and using the location-specific traffic data for the respective location as input to the vehicle count model, a vehicle count for the respective location,
• predicting, using a vehicle class mix model and using the location-specific traffic data for the respective location as input to the vehicle class mix model, a vehicle class mix for the respective location,
• calculating, based on the predicted vehicle count and the predicted vehicle class mix, a number of vehicles per vehicle class for the respective location, and
• calculating, based on the number of vehicles per vehicle class, a predicted noise level for the respective location, and
• causing a client device to display a map, wherein the map comprises, for each location of the one or more locations, a visual indication of the predicted noise level for the respective location.

A non-transitory computer-readable storage medium with instructions that, when executed by a processing device, cause the processing device to perform operations, comprising:

• obtaining location data indicating one or more locations and, for each respective location of the one or more locations, location-specific traffic data;
• for each respective location of the one or more locations:
• predicting, using a vehicle count model and using the location-specific traffic data for the respective location as input to the vehicle count model, a vehicle count for the respective location,
• predicting, using a vehicle class mix model and using the location-specific traffic data for the respective location as input to the vehicle class mix model, a vehicle class mix for the respective location,
• calculating, based on the predicted vehicle count and the predicted vehicle class mix, a number of vehicles per vehicle class for the respective location, and
• calculating, based on the number of vehicles per vehicle class, a predicted noise level for the respective location;
• and
• causing a client device to display a map, wherein the map comprises, for each location of the one or more locations, a visual indication of the predicted noise level for the respective location.