Organizing Committee
Abstract

The complex dynamical behavior of large pedestrian crowds has long fascinated researchers from various scientific fields. Academic studies began in earnest in the last century, starting with empirical observations in the early 1950’s and continuing with the development of models in the field of applied physics. In more recent years, applied mathematicians have become increasingly interested in the analytical aspects and computational challenges related to simulation of existing models. With ongoing technical development, more and more data such as pedestrian trajectories and velocities have become available, leading to new questions of calibration of the mathematical models.

Since the inception of the field of study, several scientific communities have been independently working on the challenge of describing and simulating pedestrian dynamics. While mathematicians have mainly focused on the modeling and analytical aspects, physicists have developed experimental setups and methods to determine velocity data for large pedestrian groups in different settings. In scientific computing, research interests lie, on the one hand, in data extraction from video material and, on the other, in simulation and the development of efficient computational methods to describe the dynamics of large pedestrian groups. The main aims of this workshop are to initiate contact between these scientific fields, to foster interdisciplinary research and to explore new research directions such as data assimilation techniques and big-data analysis.

Image for "Pedestrian Dynamics: Modeling, Validation and Calibration"
[Photo credit: Maik Boltes]

Confirmed Speakers & Participants

Talks will be presented virtually or in-person as indicated in the schedule below.

  • Speaker
  • Poster Presenter
  • Attendee
  • Virtual Attendee

Workshop Schedule

Monday, August 21, 2017
TimeEventLocationMaterials
8:30 - 8:55am EDTRegistration121 South Main Street Providence RI 11th Floor Collaborative Space 
8:55 - 9:00am EDTWelcome - ICERM Director11th Floor Lecture Hall 
9:00 - 9:30am EDTIntroduction to Pedestrian Dynamics - Modeling, Validation and Calibration Workshop, and Working Groups - Alethea Barbaro, Case Western Reserve University José A. Carrillo, Imperial College London Armin Seyfried, Forschungszentrum Jülich Marie-Therese Wolfram Universität Wien 11th Floor Lecture Hall 
9:30 - 10:15am EDTHuman Factors in Simulation, Planning and Guidance - Laura Künzer, Team HF - Human Factors Research and Training, Hofinger, Künzer & Mähler PartG11th Floor Lecture Hall
10:30 - 11:00am EDTCoffee/Tea Break11th Floor Collaborative Space 
11:00 - 11:45am EDTSocial norms and strategies in crowds – where pedestrian dynamics need social psychology - Anna Sieben, Ruhr-Universität Bochum11th Floor Lecture Hall
12:00 - 3:15pm EDTBreak for Lunch / Free Time  
2:30 - 3:00pm EDTCoffee/Tea Break11th Floor Collaborative Space 
3:15 - 4:00pm EDTLarge time and large crowd limits in alignment-based dynamics - Eitan Tadmor, University of Maryland11th Floor Lecture Hall
4:15 - 5:00pm EDTPedestrian models- game theoretic versus mechanistic view points - Pierre Degond, Imperial College London11th Floor Lecture Hall
5:00 - 6:30pm EDTWelcome Reception11th Floor Collaborative Space 
Tuesday, August 22, 2017
TimeEventLocationMaterials
9:00 - 9:45am EDTTowards Simulation Tools for Innovative Street Designs - Bani Anvari, University of Southampton11th Floor Lecture Hall
10:00 - 10:30am EDTCoffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15am EDTInteractive Multi-Agent Simulation for Physical and Virtual Worlds - Dinesh Manocha, UNC Chapel Hill11th Floor Lecture Hall
11:30 - 12:15pm EDTParameter estimation for the evaluation and the comparison of microscopic crowd simulation algorithms. - Julien Pettré, Inria11th Floor Lecture Hall 
12:30 - 2:30pm EDTBreak for Lunch / Free Time  
2:30 - 3:00pm EDTWorking Group DiscussionTBD by Group 
3:00 - 3:45pm EDTFrom Bacteria to People- Modeling Group Dynamics in Phototaxis - Doron Levy, University of Maryland11th Floor Lecture Hall
4:00 - 4:30pm EDTCoffee/Tea Break11th Floor Collaborative Space 
4:30 - 5:15pm EDTLocal and nonlocal models of aggregation and their applications. - Theodore Kolokolnikov, Dalhousie University11th Floor Lecture Hall
Wednesday, August 23, 2017
TimeEventLocationMaterials
9:00 - 9:45am EDTBehavioral Dynamics Approach to Collective Crowd Behavior - William Warren, Dept. of Cognitive, Linguistic, and Psychological Sciences, Brown University11th Floor Lecture Hall
10:00 - 10:30am EDTCoffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15am EDTForecasting crowd dynamics through coarse-grained data analysis - Sebastien Motsch, Arizona State University11th Floor Lecture Hall
11:30 - 12:15pm EDTOptimization integrator for energy-based pedestrian models - Ioannis Karamouzas, Clemson University11th Floor Lecture Hall 
12:20 - 12:30pm EDTGroup Photo11th Floor Lecture Hall 
12:30 - 2:00pm EDTBreak for Lunch / Free Time  
2:00 - 2:45pm EDTCrowd motion modeling and evolution PDE with density constraints - Filippo Santambrogio, Université Paris-Sud11th Floor Lecture Hall 
3:00 - 3:45pm EDTOn the Hughes Model for crowd motion - Jan-Frederik Pietschmann, WWU Münster11th Floor Lecture Hall 
4:00 - 5:00pm EDTPoster Session / Coffee Tea Break11th Floor Collaborative Space 
Thursday, August 24, 2017
TimeEventLocationMaterials
9:00 - 9:45am EDTExperimental study of pedestrian dynamics and Modeling of 2-runners races using Game Theory - Cecile Appert Rolland, Lab. of Theoretical Physics - Univ. Paris Sud - CNRS11th Floor Lecture Hall
10:00 - 10:30am EDTCoffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15am EDTA Simple Finite-Volume Method on a Cartesian Mesh for Pedestrian Flows with Obstacles - Alina Chertock, North Carolina State University11th Floor Lecture Hall
11:30 - 12:15pm EDTMacroscopic modeling and simulation of crowd dynamics - Paola Goatin, Inria11th Floor Lecture Hall
12:30 - 2:30pm EDTBreak for Lunch / Free Time  
2:30 - 3:00pm EDTWorking Group DiscussionTBD by Group 
3:00 - 3:45pm EDTThe study of crowd movement- using experiments to get insight into pedestrian behavior - Winnie Daamen, Delft University of Technology11th Floor Lecture Hall
4:00 - 4:30pm EDTCoffee/Tea Break11th Floor Collaborative Space 
4:30 - 5:15pm EDTagent based models for crowds and crime - Andrea Bertozzi, UCLA11th Floor Lecture Hall 
Friday, August 25, 2017
TimeEventLocationMaterials
9:00 - 9:45am EDTExperiments on crowd-robot interactions - Nicole Abaid, Virginia Tech11th Floor Lecture Hall
10:00 - 10:30am EDTCoffee/Tea Break11th Floor Collaborative Space 
10:30 - 11:15am EDTModel predictions vs. experimental data- the influence of social groups on evacuation scenarios - Cornelia von Krüchten, Institute for Theoretical Physics, University of Cologne11th Floor Lecture Hall
11:30 - 12:15pm EDTAdaptive Brownian Dynamics - Benedict Leimkuhler, University of Edinburgh11th Floor Lecture Hall
12:30 - 1:30pm EDTWorking Group Presentation11th Floor Lecture Hall 
1:30 - 2:30pm EDTBreak for Lunch / Free Time  

Lecture Videos

Adaptive Brownian Dynamics

Benedict Leimkuhler
University of Edinburgh
August 25, 2017

On the Hughes Model for crowd motion

Jan-Frederik Pietschmann
University of Münster
August 23, 2017

Human Factors in Simulation, Planning and Guidance

Laura Künzer
Human Factors Research Consultancy Training
August 21, 2017