Modeling pedestrian behavior with Cell-DEVS: theory and applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this work, we provide an approach for Modeling and Simulation (M&S) of crowds using Cellular Discrete EVent System Specification (Cell-DEVS). We present many examples of Cellular Discrete EVent System Specification entity-based crowd models, and we show how to use Cellular Discrete EVent System Specification for entity-based modeling and simulation of crowds. We provide an approach for using Cellular Discrete EVent System Specification theory in modeling and simulation of crowds, and we propose Cellular Discrete EVent System Specification entity-based models for modeling and simulation of one-, two-, and three-dimensional movement of crowds. We extend the models above, and propose a more advanced model for crowd movement in multi-level building. Furthermore, we use this model for simulation of building evacuations. We propose another advanced model for crowd modeling, and deploy the model in occupancy analysis of buildings. Simulation results verify the usability of the proposed models.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it