Experts from Poland and Norway are collecting and analysing information to understand mechanisms concerning the movement of people in cities. Conclusions will be used to identify measures to increase the use of environmentally friendly modes of transport.
The work involves a team from the Faculty of Mathematics and Information Sciences at the Warsaw University of Technology (PW), led by Prof. Maciej Grzenda, who is responsible for the area of machine learning methods and large-scale data analysis in the CoMobility (Co-designing Inclusive Mobility) project.
They apply these cutting-edge tools to data about Warsaw and its agglomeration. They cooperate with specialists in social research and transport modelling from the University of Warsaw and the Warsaw School of Economics, as well as with the air pollution modelling team from the Norwegian Institute for Air Research.