Modeling public transport lines and air quality - a part of the InnoAir Challenge: Making Urban Mobility Smarter
python3
numpy
matplotlib
At the current stage, this is a terminal application.
In order to start a "simulation", run evaluateLines.py. The program will
create 7 images in the img folder:
- non-interpolated data
- interpolated data 3.-7. soft prediction of decreased pollution if line is taken to be utilized fully (i.e, no other traffic on line)
Red represents more pollution, green represents less.
The pictures bellow represent a model of a city by a 30 by 30 grid with pollution clusters and 5 bus lines.
Non-interpolated
Interpolated
With Line 1
With Line 2
With Line 3
With Line 4
With Line 5
The images above are compiled to a demo gif:
