The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
SPECIFICATION OF THE SOCIAL FORCE PEDESTRIAN MODEL BY EVOLUTIONARY ADJUSTMENT TO VIDEO TRACKING DATA
Open accessAbstract
Based on suitable video recordings of interactive pedestrian motion and improved tracking software, we apply an evolutionary optimization algorithm to determine optimal parameter specifications for the social force model. The calibrated model is then used for large-scale pedestrian simulations of evacuation scenarios, pilgrimage, and urban environments.
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Cites
Social force model for pedestrian dynamics
Helbing, D., & Molnár, P. (1995) · Physical Review E · doi:10.1103/physreve.51.4282 · Cited by 6,845
Self-citationField Theory in Social Science
French, R. L., Lewin, K., & Cartwright, D. (1953) · The American Journal of Psychology · doi:10.2307/1418749 · Cited by 5,190
Simulating dynamical features of escape panic
Helbing, D., Farkas, I., & Vicsek, T. (2000) · Nature · doi:10.1038/35035023 · Cited by 4,916
Self-citationField Theory in Social Science
Eysenck, H. J., & Lewin, K. (1952) · The British Journal of Sociology · doi:10.2307/586914 · Cited by 2,272
Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions
Helbing, D., Buzna, L., Johansson, A., & Werner, T. (2005) · Transportation Science · doi:10.1287/trsc.1040.0108 · Cited by 1,471
Self-citationPedestrian and evacuation dynamics
Schreckenberg, M., & Sharma, S. D. (2002) · Springer eBooks · Cited by 1,018
Self-Organizing Pedestrian Movement
Helbing, D., Molnár, P., Farkas, I. J., & Bolay, K. (2001) · Environment and Planning B: Planning and Design · doi:10.1068/b2697 · Cited by 751
Self-citationHughes, R. L. (2003) · Annual Review of Fluid Mechanics · doi:10.1146/annurev.fluid.35.101101.161136 · Cited by 652
Modelling and Simulation: Exploring Dynamic System Behaviour
Birta, L. G., & Arbez, G. (2019) · Simulation Foundations, Methods and Applications · doi:10.1007/978-3-030-18869-6 · Cited by 619
Jamming transition in pedestrian counter flow
Muramatsu, M., Irie, T., & Nagatani, T. (1999) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/s0378-4371(99)00018-7 · Cited by 535
Cited by
You'll never walk alone: Modeling social behavior for multi-target tracking
Pellegrini, S., Ess, A., Schindler, K., & van Gool, L. (2009) · 2009 IEEE 12th International Conference on Computer Vision · doi:10.1109/iccv.2009.5459260 · Cited by 1,683
The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics
Moussaïd, M., Perozo, N., Garnier, S., Helbing, D., & Theraulaz, G. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010047 · Cited by 1,120
Self-citationSocial Attention: Modeling Attention in Human Crowds
Vemula, A., Muelling, K., & Oh, J. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2018.8460504 · Cited by 675
Pedestrian, Crowd and Evacuation Dynamics
Helbing, D., & Johansson, A. (2009) · Encyclopedia of Complexity and Systems Science · doi:10.1007/978-0-387-30440-3_382 · Cited by 386
Self-citationLearning an Image-Based Motion Context for Multiple People Tracking
Leal-Taixe, L., Fenzi, M., Kuznetsova, A., Rosenhahn, B., & Savarese, S. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.453 · Cited by 280
Metadata
- Authors
- JOHANSSON, A., HELBING, D., & SHUKLA, P. K.
- Venue
- Advances in Complex Systems
- Publisher
- World Scientific Pub Co Pte Lt
- Published
- 2007-12
- Volume
- 10
- Issue
- supp02
- Pages
- 271-288
- ISSN
- 0219-5259 (ISSN-L)
- 1793-6802
- OpenAlex
- W2139050361
- Cited by
- 508
- References
- 18
- FWCI
- 25.83
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: SPECIFICATION OF THE SOCIAL FORCE PEDESTRIAN MODEL BY EVOLUTIONARY ADJUSTMENT TO VIDEO TRACKING DATA. https://app.cochat.ai/papers/10.1142/s0219525907001355
- The paper
- JOHANSSON, A., HELBING, D., & SHUKLA, P. K. (2007). SPECIFICATION OF THE SOCIAL FORCE PEDESTRIAN MODEL BY EVOLUTIONARY ADJUSTMENT TO VIDEO TRACKING DATA. Advances in Complex Systems. https://doi.org/10.1142/s0219525907001355
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
