Behavioural modelling of pedestrian movement using novel data sources and machine learning


Presentation of our research on trajectory prediction of pedestrians in International Choice Modeling Conference in Kobe, Japan. In our proposed method, we incorporate auxiliary contextual information from the roads into time-series information from pedestrian movements to enhance the prediction of their trajectory.

International Conference Center, Kobe, Japan