Research
The research of the Chair for Traffic Safety and Reliability focuses on
- Pedestrian and Evacuation Dynamics
- Highway and Urban Mixed Traffic
- Intelligent Transportation Systems and Advanced Driver Assistance Systems
We develop and analyse multi-agent mathematical models and numerical simulation tools based on differential systems, stochastic processes, or data-driven algorithms. The modelling approach is bottom-up: from microscopic interaction behavior of agents with partial knowledge of the environment to macroscopic collective performances. It includes experiment-based modelling, simulation and model calibration using real data. The aim is to understand, predict, or control complex systems, including self-organized collective dynamics. Applications include the conception of simulation tools and intelligent transportation systems, and the development of safe and reliable motion planners for automated and connected systems.
Approach: Modelling → Analysis → Simulation → Optimisation
Duality: Linear models ↔ Non-linear models
Physics and knowledge-based ↔ Data-driven / Deep learning
Microscopic approaches ↔ Meso / Macroscopic approaches
Our research strongly supports the principles for open science, emphasising open source development, reproducibility, and the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles. Computations are performed using open source packages in R and Python in Jupyter platforms and open source multi-agent simulation modules such as NetLogo, SUMO and CARLA. In addition, all publications are made available on open access platforms.
Pedestrian trajectories
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Dataset Collection at Forschungszentrum Jülich – Experiments
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OpenTraj – Naturalistic
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UniD Dataset – Vulnerable users, naturalistic
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Trajnet++ Trajectory Forecasting Challenge – Naturalistic
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Festival of Lights 2022, Lyon – Naturalistic
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PeTrack – Open-access pedestrian tracking software
Road vehicle naturalistic trajectories
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NGSIM Dataset – American highways und urban roads
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Ubiquitous Traffic Eyes – Chinese highways
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pNEUMA Dataset – Congested urban traffic
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HighD Dataset – German highways
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InD Dataset – German urban intersections
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RounD dataset – German roundabouts
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I-24 Trajectory Dataset – American highways
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OpenACC Database – Trials with vehicles equipped with ACC systems
Predictive maintenance
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Kaggle data set – Real & synthetic data
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NASA Prognostics Center of Excellence Data Set Repository – Real & synthetic data
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UCI Machine Learning Repository – Real & synthetic data
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Bearing data set – Real data
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Air compressor datasets – Real data
- NetLogo – Simulation of multi-agent systems (logo)
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JuPedSim – Simulation of pedestrian and crowd dynamics (python)
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Vadere – Simulation of pedestrian and crowd dynamics (java)
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Umans – Simulation of pedestrian and crowd dynamics (C++)
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GAMA Platform – Agent-based modelling and simulation (java)
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Eclipse SUMO – Simulation of Urban MObility (C++)
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CARLA Simulator – Autonomous driving simulator (python, C++)
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MATSim – Large-scale agent-based transport simulations (Java)
Traffic flow and pedestrian dynamics
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International Conference on Pedestrian and Evacuation Dynamics (PED)
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International Symposium on Transportation and Traffic Theory (ISTTT)
Complex systems and multi-agent systems
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International Conference on Practical Applications of Agents and Multi-Agent System (PAAMS)
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International Conference on Computational Collective Intelligence (ICCCI)
Intelligent transportation systems and autonomous vehicles
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IEEE Intelligent Transportation Systems Conference (IEEE ITSC)
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IEEE International Conference on Robotics and Automation (IEEE ICRA)
Reliability engineering
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Annual Meeting on Reliability and Maintainability Symposium (RAMS)
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International Conference on System Reliability and Safety (ICSRS)
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Probabilistic Safety Assessment and Management Conference (PSAM)
Artificial intelligence and machine learning
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IEEE Computer Vision and Pattern Recognition Conference (IEEE CVPR)
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IEEE International Conference on Computer Vision (IEEE ICCV)
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International Joint Conference on Artificial Intelligence (OJCAI)
wikicfp.com (search engine for conferences)
Traffic Flow and Pedestrian Dynamics
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C. Feliciani, K. Shimura, K. Nishinari: Introduction to Crowd Management. Springer (2021)
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B. Maury, S. Faure: Crowds in Equations. World Scientific Publishing (2018)
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B. S. Kerner: Breakdown in Traffic Networks. Springer (2017)
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E. Cristiani, B. Piccoli, A. Tosin: Multiscale modeling of pedestrian dynamics. Springer (2014)
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M. Treiber, A. Kesting: Traffic Flow Dynamics. Springer (2013)
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A. Schadschneider, D. Chowdhury, K. Nishinari: Stochastic Transport in Complex Systems. Elsevier (2011)
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B. S. Kerner: The Physics of Traffic. Springer (2004)
Reliability Engineering
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S. Bracke: Reliability Engineering. Springer (2024) - Technische Zuverlässigkeit. Springer (2022)
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A. Meyna et al.: Sicherheit und Zuverlässigkeit technischer Systeme. Carl Hanser (2023)
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S. Matzka: Künstliche Intelligenz in den Ingenieurwissenschaften. Springer (2021)
- Christiane Cocozza-Thivent: Processus stochastiques et fiabilité des systèmes. Springer (1997)
Automotive Engineering
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H. Winner et al.: Handbuch Assistiertes und Automatisiertes Fahren. Springer (2024)
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Robert Bosch GmbH (Hrsg.): Kraftfahrtechnisches Taschenbuch. Springer (2024)
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H. Winner et al.: Handbuch Fahrerassistenzsysteme. Springer (2015)
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K. Reif: Fahrstabilisierungssystem und Fahrerassistenzsysteme. Springer (2010)
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:
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Biological systems: social insects, animal groups, cell and bacterial migrations, swarm, flocking and schooling dynamics, …
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Non-living systems and active matter: swarm robotics, molecular motors, micro-swimmers, rods, interacting particle systems, …
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Complex systems, complex networks and their dynamics: multi-modal transportation networks, multi-agent systems, internet, epidemics, social networks, opinion formation, …
Further information are available here.
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