Personal profile
Research profile
Cas Pouw is a Doctoral Candidate in the department of Applied Physics and Science Education at Eindhoven University of Technology (TU/e). Currently he is working on the project 'HTCrowd' --- a cutting-edge initiative focused on advancing human crowd flow monitoring, modeling, and nudging technologies.
The goal of his research is to enhance our fundamental understanding of pedestrian dynamics, paving the way for safer and more efficient pedestrian environments. Cas studies the collective behavior of pedestrians in crowded settings, utilizing equations and properties inspired by fluid dynamics to describe and model complex crowd flows.
Academic background
Cas Pouw earned his master's degree in Applied Physics from Eindhoven University of Technology, specializing in the Fluids and Flows group. He successfully graduated in 2020, culminating his academic endeavors with a master's thesis titled 'Efficient and scalable analytics frameworks for high-statistics crowd dynamics,' under the supervision of Prof. Federico Toschi and Dr. Alessandro Corbetta.
Education and Teaching
Teaching assistant in the learning trajectory Physics of Social Systems:
- Sociophysics 1: analysis of human crowd dynamics
- Sociophysics 2: modeling human crowd dynamics
- Sociophysics 3: nudging human crowd dynamics
External positions
Data Scientist, ProRail
4 Feb 2020 → …
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
Projects
- 2 Active
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17962 HTCrowd: a high-tech platform for human crowd flows monitoring, modeling and nudging
Toschi, F. (Project Manager), Gabbana, A. (Project member), Pouw, C. A. S. (Project member) & Wang, Z. (Project member)
1/02/20 → 1/10/26
Project: Second tier
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NWO-groot 175.2017.017 UMO F&F: Urban Mobility Observatory
Toschi, F. (Project Manager), Corbetta, A. (Project member), Gabbana, A. (Project member), Wang, Z. (Project member), van der Laan, C. (Project member), van Uittert, F. M. R. (Project member), Oerlemans, G. (Project member), van der Veen, J. M. (Project member) & Pouw, C. A. S. (Project member)
1/07/19 → 30/06/26
Project: Second tier
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Monitoring physical distancing for crowd management: Real-time trajectory and group analysis
Pouw, C. A. S., Toschi, F., Schadewijk, F. & Corbetta, A. (Corresponding author), 29 Oct 2020, In: PLoS ONE. 15, 10, 18 p., e0240963.Research output: Contribution to journal › Article › Academic › peer-review
Open Access82 Link opens in a new tab Citations (Scopus) -
Human crowd flows: physics insights from real-life measurements
Pouw, C. A. S., 26 May 2025, Eindhoven: Eindhoven University of Technology. 136 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open AccessFile363 Downloads (Pure) -
The influence of macroscopic pedestrian structures on train boarding efficiency
Kodapanakkal, R., Pouw, C. A. S., Haans, A. (Corresponding author), Ham, J. R. C., Bombaerts, G., Corbetta, A., Dameski, A., Spahn, A. & Toschi, F., Jan 2025, In: Transportation Research Interdisciplinary Perspectives. 29, 10 p., 101319.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Link opens in a new tab Citations (Scopus)94 Downloads (Pure) -
A psychological approach to understanding microscopic and macroscopic structures during train boarding processes
Kodapanakkal, R. I., Pouw, C. A. S., Bombaerts, G., Corbetta, A., Dameski, A., Haans, A., Ham, J., Spahn, A. & Toschi, F., 2024, Traffic and Granular Flow'22. Rao, K. R., Seyfried , A. & Schadschneider, A. (eds.). Springer, p. 223-230 8 p. (Lecture Notes in Civil Engineering; vol. 443).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)67 Downloads (Pure) -
Data-driven physics-based modeling of pedestrian dynamics
Pouw, C. A. S. (Corresponding author), van der Vleuten, G. G. M., Corbetta, A. & Toschi, F., 2 Dec 2024, In: Physical Review E. 110, 6, 12 p., 064102 .Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus)132 Downloads (Pure)
Datasets
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Data-driven physics-based modeling of pedestrian dynamics
Pouw, C. A. S. (Creator), van der Vleuten, G. G. M. (Creator), Corbetta, A. (Creator) & Toschi, F. (Creator), Zenodo, 22 Aug 2024
Dataset: Software
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Data-driven physics-based modeling of pedestrian dynamics - dataset: Pedestrian trajectories at Eindhoven train station Creators
Pouw, C. A. S. (Creator), van der Vleuten, G. G. M. (Creator), Corbetta, A. (Creator) & Toschi, F. (Creator), Zenodo, 18 Sept 2024
Dataset
Press/Media
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Social distancing research at train stations makes platforms safer
Pouw, C. A. S., Toschi, F. & Corbetta, A.
24/11/20
2 items of Media coverage
Press/Media: Expert Comment
Thesis
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Combustion of Metal Particles Suspended inside an Acoustic Levitator
Pouw, C. A. S. (Author), van de Water, W. (Supervisor 1) & Dam, N. J. (Supervisor 2), 2017Student thesis: Bachelor
File -
Efficient and scalable analytics frameworks for high-statistics crowd dynamics
Pouw, C. A. S. (Author), Toschi, F. (Supervisor 1) & Corbetta, A. (Supervisor 2), Nov 2020Student thesis: Master