Single-file movement: literature review, empirical analysis with artificial neural networks, and modeling / submitted by: Rudina Subaih. Wuppertal, 2025
Inhalt
- Dedication
- Abstract
- Zusammenfassung
- Introduction
- Summary of Publications
- Publication i: Comprehensive Review and New Analysis Software for Single-file Pedestrian Experiments
- Publication ii: Questioning the Anisotropy of Pedestrian Dynamics: An Empirical Analysis with Artificial Neural Networks
- Publication iii: Modeling pedestrian single-file movement: Extending the interaction to the follower
- Discussion and Outlook
- Bibliography
- Publication Comprehensive Review
- Introduction
- Exploring Single-File Traffic Systems: Definition and Comparative Insights
- Types of Experimental Setups
- Data Collection
- Movement Quantities
- Factors that influence movements
- Methodology for Preparing Trajectory Data and Calculating Movement Quantities
- Summary, trends and future outlooks
- Conclusion
- Single-file Experiments
- Appendix
- Data Collection
- Collected experimental data for testing the proposed analysis tool
- Publication Questioning the Anisotropy of Pedestrian Dynamics
- Introduction
- Related Work
- Experimental Data and Measurement Methods
- Structure of the Networks and Input Features
- Results and Analysis
- Conclusion
- Publication Modeling pedestrian single-file movement
- Introduction
- Related Work
- Proposed Model
- Linear Stability Analysis
- Parameters Calibration
- Single-file Movement Datasets and Data Preparation
- Nonlinear Least Squares Estimates of the Parameters
- Simulation Results
- Conclusions
- Publication List of Publications