Madras crowd2
      [DFG/ANR project MADRAS] Multi-agent modelling of dense crowd dynamics: Predict & Understand 

The MADRAS project publications and communications are registered on this open access HAL repository.

Peer-reviewed journals

  1. Gnendiger, C., Chraibi M. and Tordeux, A. (2023) Come together: A unified description of the escalator capacity. PLOS ONE 18(3):e0282599. 
  2. Xie, C. Z., Tang, T. Q., Zhang, B. T., & Nicolas, A. (2023). Adult-child pairs walking down stairs: Empirical analysis and optimal-step-based modeling of a complex pedestrian flow, with an exploration of flow-improvement strategies. Journal of Statistical Mechanics, 1:013404, preprint available hier.
  3. Echeverría-Huarte, I., & Nicolas, A. (2022). Anticipating Collisions, Navigating in Complex Environments, Elbowing, Pushing, and Smartphone-Walking: A Versatile Agent-Based Model for Pedestrian Dynamics. Preprint available here.
  4. Xiao, Y., Xu, J., Chraibi, M., Zhang, J., & Gou, C. (2022). A generalized trajectories-based evaluation approach for pedestrian evacuation models. Safety Science, 147:105574.
  5. Korbmacher, R., & Tordeux, A. (2022). Review of pedestrian trajectory prediction methods: comparing deep learning and knowledge-based approaches. IEEE Transactions on Intelligent Transportation Systems, 23(12):24126-24144, preprint available hier.
  6. Khelfa, B., Korbmacher, R., Schadschneider, A., & Tordeux, A. (2022). Heterogeneity‑induced lane and band formation in self‑driven particle systems. Scientific Reports, 12(1):1-11.

 

Peer-reviewed contributions to conference proceedings

  1. Cordes, J., Chraibi, M., Tordeux, A., & Schadschneider, A. (2021). Time-to-collision models for single-file pedestrian motion.  Proceedings of the 10th International Conference on Pedestrian and Evacuation Dynamics (PED2021) Conference, Collective Dynamics, 6:10.
  2. Khelfa, B., Korbmacher, R., Schadschneider, A., & Tordeux, A. (2021). Initiating lane and band formation in heterogeneous pedestrian dynamics. Proceedings of the 10th International Conference on Pedestrian and Evacuation Dynamics (PED2021) Conference, Collective Dynamics, 6:13.

 

Communications in conferences

  1. Korbmacher, R., Dang, H.-T., Tordeux, A., Gaudou, B. & Verstaevel, N. Differences in pedestrian trajectory predictions for high- and low-density situations. Traffic and Granular Flow 2022 (TGF22), 15 – 17 October 2022, IIT Delhi, India. Abstract; Slides.
  2. Echeverrìa-Huarte, I., & Nicolas, A. Modélisation de l’anticipation des collisions et des contacts dans la dynamique des foules piétonnes. 18ième Journées de la Matière Condensée (JMC18), 22 – 26 August 2022, Lyon, France. Abstract.
  3. Dufour, O., Echeverrìa-Huarte, I., Rodney, D., & Nicolas, A. The role of anticipation among pedestrians in the emergence of stop and go waves. 18ième Journées de la Matière Condensée (JMC18), 22 – 26 August 2022, Lyon, France. Poster.
  4. Cordes, J., Schadschneider, A., & Tordeux, A. Noise-induced breakdown in single-file motion. 18ième Journées de la Matière Condensée (JMC18), 22 – 26 August 2022, Lyon, France. Abstract; Poster.
  5. Dang, H.-T., Gaudou, B. & Verstaevel, N. Gampy: a fast plugin for integration of Python-based deep-learning models to the GAMA platform. 2nd GAMA Days Conference,  22 – 24 June 2022, Online, France. Abstract on HAL; Slides.
  6. Dang, H.-T., Gaudou, B. & Verstaevel, N. A modular framework for multi-behavior and multi-scale simulation of pedestrians. 2nd GAMA Days Conference,  22 – 24 June 2022, Online, France. Abstract on HAL; Slides.
  7. Korbmacher, R., Dang, H.-T., Tordeux, A., Gaudou, B. & Verstaevel, N. Using synthetic data to improve performance of data-driven algorithms in high density pedestrian situations. 2nd GAMA Days Conference, 22 – 24 June 2022, Online, France. Abstract on HAL; Slides.
  8. Echeverrìa-Huarte, I., & Nicolas, A. Modélisation de l'anticipation des collisions et des contacts dans la dynamique des foules piétonnes (conversation). Regional French Conference on Complex Systems (FRCCS 2022), 20 – 22 June 2022, Paris, France. Abstract.
  9. Dufour, O., & Nicolas, A. Stop and go pedestrian wave based on a behavioural model (flash talk). Regional French Conference on Complex Systems (FRCCS 2022), 20 – 22 June 2022, Paris, France. 
  10. Korbmacher, R., & Tordeux, A. Review of Pedestrian Trajectory Prediction methods: Comparing physics-based and data-based approaches. 10th International Conference on Pedestrian and Evacuation Dynamics (PED2021). 28 – 30 November 2021, Online, Melbourne, Australia. Abstract; Slides.
  11. Cordes, J., Chraibi, M., Schadschneider, A., & Tordeux, A. Distance vs time-to-collision pedestrian models: verification and validation. 10th International Conference on Pedestrian and Evacuation Dynamics (PED2021). 28 – 30 November 2021, Online, Melbourne, Australia. Abstract; Slides.
  12. Tordeux, A., Khelfa, B. & Schadschneider, A. Initiating lane and band formation in heterogeneous pedestrian dynamics. 10th International Conference on Pedestrian and Evacuation Dynamics (PED2021). 28 – 30 November 2021, Online, Melbourne, Australia. Abstract; Slides.
  13. Korbmacher, R., & Tordeux, A. Review of Pedestrian Trajectory Prediction methods: Comparing physics-based and data-based approaches. 17ième Journées de la Matière Condensée (JMC17), 24 – 27 August 2021, Online, Rennes, France. Abstract; Slides.
  14. Tordeux, A., Khelfa, B. & Schadschneider, A.  Heterogeneity-induced lane and band formation in self-driven particle systems. 17ième Journées de la Matière Condensée (JMC17), 24 – 27 August 2021, Online, Rennes, France. Abstract; Slides.