Data-driven physics-based modeling of pedestrian dynamics - dataset: Pedestrian trajectories at Eindhoven train station

Pedestrian trajectories measured at train station Eindhoven Centraal (the Netherlands) on platform 2 with acces to tracks 3 and 4.

The dataset is partitioned in files containing 10 consecutive days each, recording 4 data fields:

time_ms: Passed time since start of the measurements. Unit: milliseconds.

object_identifier: unique id identifying an object.

x_position_mm: coordinates of the object along the x-axis at the given time. Unit: millimeters.

y_position_mm: coordinates of the object along the y-axis at the given time. Unit: millimeters.

Each object resembles a pedestrian on the train platform recorded with 10 frames per second. We deliberately removed exact date and time information for privacy reasons (see additional note). The data set consists of 60 consecutive days starting at an unkown time between 00:00 AM and 01:00 AM of a random date between April 1st and May 1st 2022. An overhead image of the platform is included showing train track 3 in the bottom and train track 4 in the top of the image.

The data set is supplemented to the paper Data-driven physics-based modeling of pedestrian dynamics and can be processed by the associated Python implementation to create pedestrian models.