1 citations · 1 across the 7 of their papers we have counts for
8 papers
Noise-induced stop-and-go traffic dynamics: Modelling and control
Raphael Korbmacher, Parthib Khound, Antoine Tordeux +1
Stop-and-go waves in traffic flow are captivating collective phenomena with important safety and environmental consequences. While classical theories attribute these oscillations t…
Analysis and Simulation of Cooperative Buffer Strategies for Traffic Wave Mitigation
Raphael Korbmacher, Daniel Straub, Antoine Tordeux +1
Stop-and-go waves in traffic flow pose a persistent challenge, compromising safety, efficiency, and environmental sustainability. This paper presents a novel mitigation strategy id…
Understanding Collective Stability of ACC Systems: From Theory to Real-World Observations
Raphael Korbmacher, Parthib Khound, Antoine Tordeux
Autonomated vehicles (AVs) are expected to have a profound impact on society, with high expectations for their potential benefits. One key anticipated benefit is the reduction of t…
Dense Crowd Dynamics and Pedestrian Trajectories: A Multiscale Field Study at the Fête des Lumières in Lyon
Oscar Dufour, Huu-Tu Dang, Jakob Cordes +5
We present one of the first comprehensive field datasets capturing dense pedestrian dynamics across multiple scales, ranging from macroscopic crowd flows over distances of several…
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…
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…