Fakultät für Maschinenbau und Sicherheitstechnik

Research

    
The research thematic is about modeling, analysis, and simulation of agent-based systems. Applications rely on the safety of highway and urban traffic, driving automation systems, and pedestrian and evacuation dynamics.

Pedestrian and vehicle flows are both dynamical systems of self-driven agents interacting locally with partial knowledge of the environment. They are complex in the sense that the system performances can not be directly deduced from the individual behaviors of the agents. The dynamics describe non-linear phenomena and phase transitions to self-organized collective dynamics, e.g., lane formation or stop-and-go waves upon other coordinated behaviors and paradoxes.

We develop and analyze mathematical models and numerical simulation tools for pedestrian and vehicular dynamics based on differential systems, stochastic processes, or data-based algorithms. We calibrate, test, and validate the models using experimental and field data. The objective is to understand and predict traffic states and to devise safe and intelligent traffic solutions. We perform simulations and numerical analyses using open-source packages such as R or Python, and the simulation platforms NetLogo, JuPedSim, SUMO, CARLA, or GAMA.

    

Approach:         Modelling  →  Analysis  →  Simulation  →  Optimisation

Duality:             Linear modelling  –  Non-linear modelling
                          Physics and knowledge-based  –  Data-based / Deep learning

Pedestrian trajectories

   
Road vehicle naturalistic trajectories

  • R – Statistical computing and graphics (open-source)

  • PyTorch – Machine learning Python framework (open-source)

  • NetLogo – Simulation of multi-agent systems (open-source)

  • JuPedSim – Simulation and analysis of pedestrian models (free)

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

  • Eclipse SUMO – Simulation of Urban MObility (free)

  • CARLA Simulator – Autonomous driving simulator (open-source)

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

  • PeTrack – Automatic pedestrian tracking from video recordings (free)

  • SysMLModeling language for systems engineering (open-source)

Traffic flow and pedestrian dynamics

   
Complex systems and multi-agent systems

  
Intelligent transportation systems and automated vehicles

   
Reliability engineering, statistical physics, and applied mathematics

   
Artificial intelligence and machine learning

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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