Pedestrian Dynamics

Pedestrian Dynamics Research

This group aims to analyse and model pedestrian behaviour under various conditions. With the knowledge of pedestrian flow and its interaction to obstacles, public infrastructure may be improved from the view of efficiency as well as security. The research is provided mainly on microscopic approach on small scale systems, e.g. several joined rooms or one train unit, but it focuses on microscopic accuracy, respecting the individual features of each participant.

Our analytic team uses the records of cameras or other detectors to evaluate fundamental quantities as velocity, density and flow. The relations of these variables depend on infrastructure and participant’s preferences, but general phenomena may be observed. Focusing of some specific feature, egress experiments are organized to get dedicated data. The deep analysis of cause of flow decrease may prevent many bottleneck issues.

Our modeling team designs, develops and improves pedestrian motion models based on various principles – from simple macroscopic modes enabling analytic solution over force based models introducing social forces to sophisticated agent based systems. Calibration and verification process is run on our experimental data, which makes the whole team to close cooperation.


Marek Bukáček

Ph.D. student at FNSPE CTU in Prague

  • heterogeneity in pedestrian movement
  • CA model of egress situations
  • realization of egress experiments
  • fundamental data analysis

Pavel Hrabák

assistant professor at FIT CTU in Prague

  • application of Markov processes to pedestrian models
  • mathematical analysis of totally asymmetric simple exclusion process in both 1D and 2D
  • hand calculations of flow


Jana Vacková

Ph.D. student at FNSPE CTU in Prague

  • microscopic analysis of pedestrian movement
  • kernel estimates of pedestrian density
  • decision-based model and its calibration



Lenka Ščepánková

(TASEP on crossroad)

Matěj Kotrba

(metodology around density and flow)

František Gašpar

(Markov processes in CA models)

Marina Džabarjan

(methodology around density and flow)

Significant papers

Bachelor and Diploma projects for students