Pedestrian Flow And Crowd Dynamics

Publication Categories

  • R. Löhner and H. Antil – High Fidelity Modeling of Aerosol Pathogen Propagation in Built Environments With Moving Pedestrians; arXiv:2009.03365 physics.soc-ph. Int. J. Num. Meth. Biomed. Engng. (2021);. https://doi.org/10.1002/cnm.3428
  • M. Baqui, M. Samad and R. Löhner – A Novel Framework for Automated Monitoring and Analysis of High Density Pedestrian Flow; J. of Intelligent Transportation Systems (2020). DOI: https://doi.org/10.1080/15472450.2019.1643724
  • M. Baqui and R. Löhner – PedPIV: Pedestrian Velocity Extraction From Particle Image Velocimetry; IEEE Transactions on Intelligent Transportation Systems 21, 2, 580-589 (2020). DOI: https://doi.org/10.1109/TITS.2019.2899072
  • F. Togashi, T. Misaka, R. Löhner and S. Obayashi – Using Ensemble Kalman Filter to Determine Parameters for Computational Crowd Dynamics Simulations; Engineering Computations 35, 7, 2612-2628 (2018) , doi: https://doi.org/10.1108/EC-03-2018-0115
  • M. Baqui and and R. Löhner – Extracting Crowd Velocities at High Density; Proc. Pedestrian and Evacuation Dynamics 2018 (PED2018), Lund, Sweden, August 21-14 (2018).
  • F. Togashi, T. Misaka, R. Löhner and S. Obayashi – Application of Ensemble Kalman Filter to Pedestrian Flow; Proc. Pedestrian and Evacuation Dynamics 2018 (PED2018), Lund, Sweden, August 21-14 (2018).
  • R. Löhner, E. Haug and Britto M. – Social Force Modeling of the Pedestrian Motion in the Mataf; Proc. Pedestrian and Evacuation Dynamics 2018 (PED2018), Lund, Sweden, August 21-14 (2018).
  • M. Baqui and and R. Löhner – Towards Real-Time Monitoring of the Hajj; Proc. Pedestrian and Evacuation Dynamics 2018 (PED2018), Lund, Sweden, August 21-14 (2018).
  • R. Löhner, B. Muhamad, P. Dambalmath and E. Haug – Fundamental Diagrams for Specific Very High Density Crowds; Collective Dynamics 2; doi: http://dx.doi.org/10.17815/CD.2017.13 (2018).
  • M. Baqui, R. Löhner and M. Isenhour – Temporal Study of Crowds Using Automated Tools; Proc. TGF17 George Washington Univ., Washington, D.C. July 19-22 (2017).
  • R. Löhner, M. Baqui and M. Isenhour – Combining Big Computing And Big Data For Monitoring, Predicting, And Managing Pedestrian Mass Events; Proc. TGF17 George Washington Univ., Washington, D.C. July 19-22 (2017).
  • R. Löhner, F. Camelli and E. Onate – Tightly Coupled Computational Fluid and Crowd Dynamics via Immersed Boundary Methods; pp. 441-448 in Proc. VII Int. Conf. on Computational Methods for Coupled Problems in Science and Engineering, COUPLED PROBLEMS 2017 ( M. Papadrakakis, E. Onate and B. Schrefler eds.), Rhodes, Greece, June 12-14 (2017).
  • M. Baqui and R. Löhner – Real-Time Crowd Safety and Comfort Management from CCTV Images; Proc. Real-Time Image and Video Processing 2017 Conf. SPIE Digital Library, DOI: https://dx.doi.org/10.1117/12.2262319 (2017).
  • R. Löhner, M. Baqui, E. Haug, B. Muhamad – Real-Time Micro-Modelling of a Million Pedestrians; Engineering Computations 33, 1, 217-237 (2016).
  • M. Isenhour and R. Löhner – Pedestrian Speed on Stairs: A Mathematical Model Based on Empirical Analysis for Use in Computer Simulations; pp. 529-533 in Proc. Pedestrian and Evacuation Dynamics 2016 (PED2016) , (W. Song, J. Ma and L. Fu eds.), University of Science and Technology Press, Hefei, China (2016).
  • R. Löhner and F. Camelli – Tightly Coupled Computational Fluid and Crowd Dynamics; pp. 505-509 in Proc. Pedestrian and Evacuation Dynamics 2016 (PED2016) , (W. Song, J. Ma and L. Fu eds.), University of Science and Technology Press, Hefei, China (2016).
  • R. Löhner, E. Haug, C. Zinggerling and E. Onate; Real-Time Micro-Modeling of City Evacuations; pp. 500-504 in Proc. Pedestrian and Evacuation Dynamics 2016 (PED2016) , (W. Song, J. Ma and L. Fu eds.), University of Science and Technology Press, Hefei, China (2016).
  • M. Isenhour and R. Löhner – Validation Data from the Evacuation of a Student Center; pp. 472-479 in Proc. Pedestrian and Evacuation Dynamics 2016 (PED2016) , (W. Song, J. Ma and L. Fu eds.), University of Science and Technology Press, Hefei, China (2016).
  • R. Löhner, E. Haug and B. Muhammad, Optimized Automatic Wayfinding for Pedestrian Simulations; pp. 200-205 in Proc. Pedestrian and Evacuation Dynamics 2016 (PED2016) , (W. Song, J. Ma and L. Fu eds.), University of Science and Technology Press, Hefei, China (2016).
  • P. Dambalmath, B. Muhammad, E. Haug and R. Löhner – Fundamental Diagrams for Specific Very High Density Crowds; pp. 6-11 in Proc. Pedestrian and Evacuation Dynamics 2016 (PED2016) , (W. Song, J. Ma and L. Fu eds.), University of Science and Technology Press, Hefei, China (2016).
  • R. Löhner – Real-Time Micro-Modeling of a Million Pedestrians; invited plenary lecture, Proc. Workshop I: Mathematical Foundations of Traffic, UCLA, Los Angeles, Sept 28 – Oct 2 (2015).
  • R. Löhner – Real-Time Micro-Modeling of a Million Pedestrians; invited plenary lecture, Proc. Particles 2015, Barcelona, Spain, Sept 28-29 (2015).
  • M. Isenhour and R. Löhner – Verification of a Pedestrian Simulation Tool Using the NIST Stairwell Evacuation Data; The Conference in Pedestrian and Evacuation Dynamics 2014 (PED2014), Transportation Research Procedia 2, 739-744 (2014).
  • J. Zhang, D. Britto, M. Chraibi, R. Löhner, E. Haug and B. Gawenat – Qualitative Validation of PEDFLOW for Description of Unidirectional Pedestrian Dynamics; The Conference in Pedestrian and Evacuation Dynamics 2014 (PED2014), Transportation Research Procedia 2, 733-738 (2014).
  • R. Löhner and E. Haug – On Critical Densities and Velocities for Pedestrians Entering a Crowd; The Conference in Pedestrian and Evacuation Dynamics 2014 (PED2014), Transportation Research Procedia 2, 394-399 (2014).
  • M. Isenhour and R. Löhner – Verification of a Pedestrian Simulation Tool Using the NIST Recommended Test Cases; The Conference in Pedestrian and Evacuation Dynamics 2014 (PED2014), Transportation Research Procedia 2, 237-245 (2014).
  • M.K. Gdoura, R. Löhner, E. Haug and B. Gawenat – On the Influence of Columns in Densely Populated Corridors; The Conference in Pedestrian and Evacuation Dynamics 2014 (PED2014), Transportation Research Procedia 2, 2-9 (2014).
  • R. Löhner – On the Modeling of Pedestrian Motion; Appl. Math. Modelling 34, 2, 366-382 (2010).