67 citations · 223 across the 31 of their papers we have counts for
36 papers
When legs and bodies synchronize: Two-level collective dynamics in dense crowds
Thomas Chatagnon, Mohcine Chraibi, Julien Pettré +2
Ultra-dense crowds, in which physical contact between people cannot be avoided, pose major safety concerns. Nevertheless, the underlying dynamics driving their collective behaviour…
Noise-induced transition to stop-and-go waves in single-file traffic rationalized by an analogy with Kapitza's inverted pendulum
Oscar Dufour, Jakob Cordes, Alexandre Nicolas +3
Stop-and-go waves in vehicular traffic are commonly explained as a linear collective instability induced by e.g. response delays. We explore an alternative mechanism that more fait…
Modelling car-following dynamics with stochastic input-state-output port-Hamiltonian systems
Julia Ackermann, Matthias Ehrhardt, Thomas Kruse +1
In this contribution, we introduce a general class of car-following models with an input-state-output port-Hamiltonian structure. We derive stability conditions and long-term behav…
Modelling vehicle and pedestrian collective dynamics: Challenges and advances
Antoine Tordeux, Cécile Appert-Rolland, Alexandre Nicolas +2
In our urbanised societies, the management and regulation of traffic and pedestrian flows is of considerable interest for public safety, economic development, and the conservation…
Stability of heterogeneous linear and nonlinear car-following models
Matthias Ehrhardt, Antoine Tordeux
Stop-and-go waves in road traffic are complex collective phenomena with significant implications for traffic engineering, safety and the environment. Despite decades of research, u…
Comprehensive Review and New Analysis Software for Single-file Pedestrian Experiments
Rudina Subaih, Antoine Tordeux, Mohcine Chraibi
This paper offers a comprehensive examination of single-file experiments within the field of pedestrian dynamics, providing a review from both theoretical and analytical perspectiv…
Reliability of Redundant M-Out-Of-N Architectures With Dependent Components: A Comprehensible Approach With Monte Carlo Simulation
Tim Maurice Julitz, Antoine Tordeux, Nadine Schlüter +1
Redundant architectures can improve the reliability of complex systems. However, component dependencies can affect the architecture and negate the benefit of redundancy. In this pa…
Stabilisation of stochastic single-file dynamics using port-Hamiltonian systems
Julia Ackermann, Matthias Ehrhardt, Thomas Kruse +1
This study revisits a recently proposed symmetric port-Hamiltonian single-file model in one dimension. The uniform streaming solutions are stable in the deterministic model. Howeve…
Single-file pedestrian dynamics: a review of agent-following models
Jakob Cordes, Mohcine Chraibi, Antoine Tordeux +1
Single-file dynamics has been studied intensively, both experimentally and theoretically. It shows interesting collective effects, such as stop-and-go waves, which are validation c…
Social distancing and the future of pedestrian dynamics
Mohcine Chraibi, Andreas Schadschneider, Antoine Tordeux
Many countries have introduced social distancing rules during the COVID-19 pandemic in order to reduce spreading of the virus in public spaces. This has inspired research on pedest…
Time-continuous microscopic pedestrian models: an overview
Raphael Korbmacher, Alexandre Nicolas, Antoine Tordeux +1
We give an overview of time-continuous pedestrian models with a focus on data-driven modelling. Starting from pioneer, reactive force-based models we move forward to modern, active…
Predicting pedestrian trajectories at different densities: A multi-criteria empirical analysis
Raphael Korbmacher, Huu-Tu Dang, Antoine Tordeux
Predicting human trajectories is a challenging task due to the complexity of pedestrian behavior, which is influenced by external factors such as the scene's topology and interacti…
The Collective Dynamics of a Stochastic Port-Hamiltonian Self-Driven Agent Model in One Dimension
Matthias Ehrhardt, Thomas Kruse, Antoine Tordeux
The collective motion of self-driven agents is a phenomenon of great interest in interacting particle systems. In this paper, we develop and analyze a model of agent motion in one…
Stability analysis of a stochastic port-Hamiltonian car-following model
Barbara Rüdiger, Antoine Tordeux, Baris Ugurcan
Port-Hamiltonian systems are pertinent representations of many nonlinear physical systems. In this study, we formulate and analyse a general class of stochastic car-following model…
Multi-scale description of pedestrian collective dynamics with port-Hamiltonian systems
Antoine Tordeux, Claudia Totzeck
Port-Hamiltonian systems (PHS) theory is a recent but already well-established modelling approach for non-linear physical systems. Some studies have shown lately that PHS framework…
Reliability of fault-tolerant system architectures for automated driving systems
Tim Maurice Julitz, Antoine Tordeux, Manuel Löwer
Automated driving functions at high levels of autonomy operate without driver supervision. The system itself must provide suitable responses in case of hardware element failures. T…
Predicting highway lane-changing maneuvers: A benchmark analysis of machine and ensemble learning algorithms
Basma Khelfa, Ibrahima Ba, Antoine Tordeux
Understanding and predicting highway lane-change maneuvers is essential for driving modeling and its automation. The development of data-based lane-changing decision-making algorit…
Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches
Raphael Korbmacher, Antoine Tordeux
In crowd scenarios, predicting trajectories of pedestrians is a complex and challenging task depending on many external factors. The topology of the scene and the interactions betw…
Heterogeneity-induced lane and band formation in self-driven particle systems
Basma Khelfa, Raphael Korbmacher, Andreas Schadschneider +1
The collective motion of interacting self-driven particles describes many types of coordinated dynamics and self-organisation. Prominent examples are alignment or lane formation wh…
Spontaneous wave formation in stochastic self-driven particle systems
Martin Friesen, Hanno Gottschalk, Barbara Rüdiger +1
Waves and oscillations are commonly observed in the dynamics of self-driven agents such as pedestrians or vehicles. Interestingly, many factors may perturb the stability of space h…
Stop-and-go waves induced by correlated noise in pedestrian models without inertia
Antoine Tordeux, Andreas Schadschneider, Sylvain Lassarre
Stop-and-go waves are commonly observed in traffic and pedestrian flows. In most traffic models they occur through a phase transition after fine tuning of parameters when the model…
The trouble with 2nd order models or how to generate stop-and-go traffic in a 1st order model
Jakob Cordes, Andreas Schadschneider, Antoine Tordeux
Classical second order models of pedestrian dynamics, like the social-force model, suffer from various unrealistic behaviors in the dynamics, e.g. backward motion, oscillations and…
Robustness analysis of car-following models for full speed range ACC systems
Antoine Tordeux, Jean-Patrick Lebacque, Sylvain Lassarre
Adaptive cruise control systems are fundamental components of the automation of the driving. At upper control level, ACC systems are based on car-following models determining the a…
Generalized collision-free velocity model for pedestrian dynamics
Qiancheng Xu, Mohcine Chraibi, Antoine Tordeux +1
The collision-free velocity model is a microscopic pedestrian model, which despite its simplicity, reproduces fairly well several self-organization phenomena in pedestrian dynamics…