To create a system which provide eta of DIMTS buses on bus stops in realtime.
We propose the creation of a dense air quality map by performing a spatiotemporal sampling using only a few moving sensors followed by the suggested matrix completion technique. This is possible as the underlying low rank and slowly time-varying structure of the air quality data can be leveraged to create models that facilitate an effective Spatio-temporal extrapolation. We claim that to obtain a dense air quality map, the cities may require only a small fraction of moving sensors as compared to static sensors. Therefore moving air quality measurement could lead to an effective strategy against air pollution and climate change.