Research
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 analyze 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 objective is to identify, understand, predict, and control complex systems, including collective dynamics. The computations are carried out using open-source packages in R or Python and multi-agent simulation platforms such as NetLogo and 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
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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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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OpenACC Database (car-following experiments involving vehicles equipped with adaptive cruise control systems)
Predictive maintenance
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Kaggle data set (real and synthetic data sets)
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NASA Prognostics Center of Excellence Data Set Repository (real and synthetic data sets)
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UCI Machine Learning Repository (real and synthetic data sets)
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Bearing data set (real data sets)
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Air compressor datasets (real data sets)
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NetLogo – Simulation of multi-agent systems (open-source)
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JuPedSim – Simulation and analysis of pedestrian models (open-access)
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GAMA Platform – Agent-based modelling and simulation (open-source)
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Eclipse SUMO – Simulation of Urban MObility (open-access)
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CARLA Simulator – Autonomous driving simulator (open-source)
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MATSim – Large-scale agent-based transport simulations (open-source)
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
Intelligent transportation systems and automated 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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IEEE International Conference on Pattern Recognition (IEEE ICPR)
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International Joint Conference on Artificial Intelligence (OJCAI)
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:
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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.
