ML for Social Good: Pedestrian Movement

Assel Dmitriyeva

The purpose of this study is to model pedestrian movement on microlevel. In Social Sciences, where particles treated as individual agents, numerous attempts have been done to build Agent Based Models. I am interested in investigating underlying behavioral rules that pedestrians follow. Ultimate goal is to conduct empirical research of pedestrian movement on and near intersections in Downtown Brooklyn area.


Empirical study on human crowd movement have started over 50 years ago. But the field of pedestrian movement on intersections have not been studied extensively. With the rise of technologies such as Connected and Autonomous vehicles, IoT and Smart cities it is essential to build models of pedestrian movement and increase safety in urban areas.