- 8:00–9:00 Registration
- 9:00–9:15 Welcoming
- 9:15–10:15 Keynote lecture 1 (Hall 1)
- Data acquisition from pedestrian experiments
Maik Boltes
- 10:15–10:45 Coffee break
- 12:05–13:05 Lunch
- 14:25–14:30 Coffee break (continues during Poster session)
- 14:30–15:30 Poster session
- Odd numbers
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Mira Küpper and Juliane Adrian |
Takahiro Matsunaga and Eiji Hato |
Jiawei Zhang, Sakurako Tanida, Xiaolu Jia, Claudio Feliciani, Daichi Yanagisawa and Katsuhiro Nishinari |
Álvaro Serrano, Giuseppe Vizzari and Marin Lujak |
Xintong Li, Weiguo Song, Jun Zhang and Nikolai Bode |
Celine Finet, Jean-Bernard Hayet, Ioannis Karamouzas and Julien Pettre |
- 19:00–20:00 Social event
- 9:00–9:15 Short info
- 9:15–10:15 Keynote lecture 2 (Hall 1)
- Bridging Physics and AI: Learning Pedestrian Dynamics from Video Data
He Wang
- 10:15–10:45 Coffee break
- 12:05–13:05 Lunch
- 14:25–14:30 Coffee break (continues during Poster session)
- 14:30–15:30 Poster session
- Even numbers
- 15:30–16:30 Controlled experiments - obstacles and slow walkers (Hall 2)
- 15:30–16:30 Modeling of pedestrian formations (Hall 3)
- 39. Specific flow rate at openings for pedestrians including slow walkers
Kenichi Takayama and Tomoaki Nishino - 42. Self-organisation in pedestrian dynamics simulation: a stochastic port-Hamiltonian approach
Rafay Nawaid Alvi, Barbara Rüdiger and Antoine Tordeux - 40. Mixed-Age Pedestrian Dynamics and Obstacle Avoidance Behaviors: An Experimental Analysis
Jiaming Liu, Hui Zhang and Majid Sarvi - 43. "Valency" model of pedestrian group behaviour
Francesco Zanlungo and Zeynep Yucel - 41. Experimental analysis of firefighters crossing multiple obstacles under smoke and heat environment
Yixi Tao, Xuehua Song, Hang Yu, Weiguo Song and Jun Zhang - 44. Modeling metastable dynamics of dyads from large-scale data
Chiel van der Laan, Tom Harmsen and Alessandro Corbetta
- 16:30–17:30 Steering committee meeting
- 19:00–22:00 Conference dinner
- 9:00–9:15 Short info
- 9:15–10:15 Keynote lecture 3 (Hall 1)
- Coupling the fire and evacuation simulations – needs, challenges and possibilities
Simo Hostikka
- 10:15–10:45 Coffee break
- 10:45–12:05 Controlled experiments – design (Hall 3)
- 10:45–12:05 Case study simulations (Hall 2)
- 45. Emergence of motion synchronization in pedestrian crowds
Yi Ma, Meng Shi, Eric Lee and Richard Yuen - 49. Evacuation simulations accounting for properties of the blended wing body aircraft
Yuming Dong, Xiaolu Jia, Daichi Yanagisawa and Katsuhiro Nishinari - 46. Density Dependent Gait Patterns in Crowds
Carina Wings, Maik Boltes and Uwe G. Kersting - 50. Wildfire Evacuation Modelling of Tourist Campsites
Borja Darnaculleta, Enrico Ronchi, Amina Labhiri, Virginie Dréan, Bruno Guillaume and Eric Guillaume - 47. Single-file pedestrian flows with free density
Cecile Appert-Rolland and Julien Pettre - 51.The Lecture Hall Example as a Reference for Evacuation Simulations – An Updated Study
Angelika Kneidl, Burkhard Forell, Gerald Grewolls, Rainer Koennecke, Andreas Winkens and Tim Meyer-König - 48. Balancing Data Needs in Pedestrian Dynamics Experiments: Crowd Size, Number of Trials, and Trial Duration
Max Kinateder, Paul Geoerg and Nikolai Bode - 52. How does the computational speed of pedestrian models depend on the characteristics of the simulated scenario?
Martijn Sparnaaij, Dorine Duives and Serge Hoogendoorn
- 12:05–13:05 Lunch
- 14:25–15:00 Closing
- 15:00–16:30 Farewell drink
Maik Boltes
Forschungszentrum Jülich, Germany
He Wang
Maik Boltes studied mathematics and computer science at the RWTH Aachen and FernUniversität Hagen, Germany focusing on computer graphics and scientific visualization. For his Ph.D. at the University of Cologne he developed computer vision methods for measuring pedestrian dynamics in crowds. Since 2018 he is heading the division “Pedestrian Dynamics – Empiricism” within the institute “Civil Safety Research” at Forschungszentrum Jülich, Germany. His research activities include the identification of parameters influencing crowd dynamics, the acquisition of these parameters, studying sensor techniques capturing corresponding data, and analyzing the collected and fused data. All his activities are guided by the principles of open science.
Data acquisition from pedestrian experiments
Empirical data is the basis for studying and thus understanding the dynamics inside crowds, which could increase safety and comfort for pedestrians as well as the performance of pedestrian facilities. The results enable the development of models reflecting the real dynamics. Controlled reproducible experiments allow the quantitative description of pedestrian dynamics by investigating influencing aspects and enable the analysis of selected parameters under well-defined constant conditions. Data of these experiments has to be collected by appropriately selected and utilized sensors.
In my presentation, I will address the implementation of laboratory experiments, with a particular focus on the collection of experimental data. I will discuss both the opportunities and limitations of various data collection techniques and methods, as well as their practical applications. The fusion of carefully calibrated and synchronized data enables the correlation of different influencing factors. Linking individual characteristics to specific subjects within a dataset makes it possible to analyze the impact of personal attributes on the specific dynamics. The use of standardized methods for data acquisition, measurement, and storing data significantly enhances the comparability of experimental results. Furthermore, the availability of open data and open-source software is essential for ensuring the reproducibility of findings and for facilitating the reuse of the often laboriously collected experimental datasets. These aspects will also be explored in my presentation.