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

Peer-reviewed journals

  1. 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, preprint available hier.
  2. 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.
  3. 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.
  4. 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.
  5. 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. Collective Dynamics (PED2021 conference), 6, 10.
  2. Khelfa, B., Korbmacher, R., Schadschneider, A., & Tordeux, A. (2021). Initiating lane and band formation in heterogeneous pedestrian dynamics. Collective Dynamics (PED2021 conference), 6, 13.

 

Communications in conferences

  1. Differences in pedestrian trajectory predictions for high- and low-density situations. Traffic and Granular Flow 2022, 15 – 17 October 2022, IIT Delhi, India. Abstract.
  2. 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. Stop and go pedestrian waves based on a behavioural model. 18ième Journées de la Matière Condensée (JMC18), 22 – 26 August 2022, Lyon, France. Poster.
  4. Noise-induced breakdown in single-file motion. 18ième Journées de la Matière Condensée (JMC18), 22 – 26 August 2022, Lyon, France. Abstract; Poster.
  5. Gampy: a fast plugin for integration of Python-based deep-learning models to the GAMA platform. 2nd conference GAMA Days 2022, Jun 2022, Online, France. Abstract on HAL; Slides.
  6. A modular framework for multi-behavior and multi-scale simulation of pedestrians. 2nd conference GAMA Days 2022, Jun 2022, Online, France. Abstract on HAL; Slides.
  7. Using synthetic data to improve performance of data-driven algorithms in high density pedestrian situations. 2nd conference GAMA Days 2022, Jun 2022, Online, France. Abstract on HAL; Slides.
  8. 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. 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. 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. 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. 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. 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. 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.