Pedestrian Dynamics: Modeling, Validation and Calibration
(August 21 – 25, 2017)

Description

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.


Picture
[Photo credit: Maik Boltes]

Organizing Committee

  • Alethea Barbaro
    (Case Western Reserve University)
  • José A. Carrillo
    (Imperial College London)
  • Benedetto Piccoli
    (Rutgers University–Camden)
  • Armin Seyfried
    (Forschungszentrum Jülich)
  • Marie-Therese Wolfram
    (University of Warwick)

= speaker    = poster presenter

Monday August 21, 2017
Time Description Speaker Location Abstracts Slides
8:30 - 8:55Registration121 South Main Street Providence RI 11th Floor Collaborative Space
8:55 - 9:00WelcomeICERM Director11th Floor Lecture Hall
9:00 - 9:30Introduction to Pedestrian Dynamics - Modeling, Validation and Calibration Workshop, and Working GroupsAlethea 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 - 10:15Human Factors in Simulation, Planning and GuidanceLaura Künzer, Team HF - Human Factors Research and Training, Hofinger, Künzer & Mähler PartG11th Floor Lecture Hall
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10:30 - 11:00Coffee/Tea Break11th Floor Collaborative Space
11:00 - 11:45Social norms and strategies in crowds – where pedestrian dynamics need social psychologyAnna Sieben, Ruhr-Universität Bochum11th Floor Lecture Hall
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12:00 - 3:15Break for Lunch / Free Time
2:30 - 3:00Coffee/Tea Break11th Floor Collaborative Space
3:15 - 4:00Large time and large crowd limits in alignment-based dynamicsEitan Tadmor, University of Maryland11th Floor Lecture Hall
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4:15 - 5:00Pedestrian models- game theoretic versus mechanistic view pointsPierre Degond, Imperial College London11th Floor Lecture Hall
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5:00 - 6:30Welcome Reception11th Floor Collaborative Space

Tuesday August 22, 2017
Time Description Speaker Location Abstracts Slides
9:00 - 9:45Towards Simulation Tools for Innovative Street DesignsBani Anvari, University of Southampton11th Floor Lecture Hall
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10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space
10:30 - 11:15Interactive Multi-Agent Simulation for Physical and Virtual WorldsDinesh Manocha, UNC Chapel Hill11th Floor Lecture Hall
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11:30 - 12:15Parameter estimation for the evalaution and the comparison of microscopic crowd simulation algorithms.Julien Pettré, Inria11th Floor Lecture Hall
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12:30 - 2:30Break for Lunch / Free Time
2:30 - 3:00Working Group DiscussionTBD by Group
3:00 - 3:45From Bacteria to People- Modeling Group Dynamics in PhototaxisDoron Levy, University of Maryland11th Floor Lecture Hall
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4:00 - 4:30Coffee/Tea Break11th Floor Collaborative Space
4:30 - 5:15Local and nonlocal models of aggregation and their applications.Theodore Kolokolnikov, Dalhousie University11th Floor Lecture Hall
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Wednesday August 23, 2017
Time Description Speaker Location Abstracts Slides
9:00 - 9:45Behavioral Dynamics Approach to Collective Crowd BehaviorWilliam Warren, Dept. of Cognitive, Linguistic, and Psychological Sciences, Brown University11th Floor Lecture Hall
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10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space
10:30 - 11:15Forecasting crowd dynamics through coarse-grained data analysisSebastien Motsch, Arizona State University11th Floor Lecture Hall
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11:30 - 12:15Optimization Integrator for Energy-Based Pedestrian ModelsIoannis Karamouzas, Clemson University11th Floor Lecture Hall
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12:20 - 12:30Group Photo11th Floor Lecture Hall
12:30 - 2:00Break for Lunch / Free Time
2:00 - 2:45Crowd motion modeling and evolution PDE with density constraintsFilippo Santambrogio, Université Paris-Sud11th Floor Lecture Hall
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3:00 - 3:45On the Hughes Model for crowd motionJan-Frederik Pietschmann, WWU Münster11th Floor Lecture Hall
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4:00 - 5:00Poster Session / Coffee Tea Break11th Floor Collaborative Space

Thursday August 24, 2017
Time Description Speaker Location Abstracts Slides
9:00 - 9:45Experimental study of pedestrian dynamics and Modeling of 2-runners races using Game TheoryCecile Appert Rolland, Lab. of Theoretical Physics - Univ. Paris Sud - CNRS11th Floor Lecture Hall
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10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space
10:30 - 11:15A Simple Finite-Volume Method on a Cartesian Mesh for Pedestrian Flows with ObstaclesAlina Chertock, North Carolina State University11th Floor Lecture Hall
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11:30 - 12:15Macroscopic modeling and simulation of crowd dynamicsPaola Goatin, Inria11th Floor Lecture Hall
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12:30 - 2:30Break for Lunch / Free Time
2:30 - 3:00Working Group DiscussionTBD by Group
3:00 - 3:45The study of crowd movement- using experiments to get insight into pedestrian behaviorWinnie Daamen, Delft University of Technology11th Floor Lecture Hall
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4:00 - 4:30Coffee/Tea Break11th Floor Collaborative Space
4:30 - 5:15agent based models for crowds and crimeAndrea Bertozzi, UCLA11th Floor Lecture Hall

Friday August 25, 2017
Time Description Speaker Location Abstracts Slides
9:00 - 9:45Experiments on crowd-robot interactionsNicole Abaid, Virginia Tech11th Floor Lecture Hall
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10:00 - 10:30Coffee/Tea Break11th Floor Collaborative Space
10:30 - 11:15Model predictions vs. experimental data- the influence of social groups on evacuation scenariosCornelia von Krüchten, Institute for Theoretical Physics, University of Cologne11th Floor Lecture Hall
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11:30 - 12:15Adaptive Brownian DynamicsBenedict Leimkuhler, University of Edinburgh11th Floor Lecture Hall
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12:30 - 1:30Working Group Presentation11th Floor Lecture Hall
1:30 - 2:30Break for Lunch / Free Time