Fachgebiet für Verkehrssicherheit und Zuverlässigkeit


The research of the chair for traffic safety and reliability focuses on system and model-based reliability analysis, multi-agent systems, interacting particle systems, pedestrian and evacuation dynamics, highway and mixed urban traffic, intelligent transportation systems, and advanced driver-assistance systems.

We develop and analyse mathematical models and numerical simulation tools based on differential systems, stochastic processes, or data-driven algorithms. We calibrate and train models and algorithms using experimental and field data. The aim is to understand, predict, or control complex systems, including collective dynamics. Computations are performed using open source packages in R or Python and multi-agent simulation platforms such as NetLogo or SUMO.

Approach:         Modelling  →  Analysis  →  Simulation  →  Optimisation

Duality:             Linear models  ↔  Non-linear models
                          Physics and knowledge-based  ↔  Data-driven / Deep learning
                          Microscopic approaches  ↔  Mesoscopic / Macroscopic approaches

The chair strongly supports the principles for open science, emphasising open source development, reproducibility, and the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles.


Pedestrian trajectories

Road vehicle naturalistic trajectories

Predictive maintenance

  •  NetLogo  –  Simulation of multi-agent systems (logo)
  • JuPedSim  –  Simulation of pedestrian and crowd dynamics (python)

  • Vadere  –  Simulation of pedestrian and crowd dynamics (java)

  • Umans  –  Simulation of pedestrian and crowd dynamics (C++)

  • GAMA Platform  –  Agent-based modelling and simulation (java)

  • Eclipse SUMO  –  Simulation of Urban MObility (C++)

  • CARLA Simulator  –  Autonomous driving simulator (python, C++)

  • MATSim  –  Large-scale agent-based transport simulations (Java)


Traffic flow and pedestrian dynamics

Complex systems and multi-agent systems

Intelligent transportation systems and automated vehicles

Reliability engineering

Artificial intelligence and machine learning


wikicfp.com (conferences and calls for paper search engine)

Collective Dynamics is a diamond open-access multidisciplinary journal publishing research in the field of pedestrian dynamics, vehicular traffic, and other systems of self-driven particles or interacting agents.

The journal covers, but is not limited to, the following areas:

Further information are available here.


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