CASA-AR: Reproducibility Package for a Crowd-Aware Mobile Augmented Reality Navigation System for Mass Religious Gatherings

This record contains the complete reproducibility package for the CASA-AR simulation study. The package includes executable Python source code, a pinned software environment, a Dockerfile, model configuration files, 600 baseline Monte Carlo replication records, 2,160 sensitivity-analysis records, paired comparisons, summary statistics, verification tests, frozen reference results, generated figures, run metadata, citation information, licenses, and SHA-256 file checksums. The computational model represents an aggregate, synthetic 12-km pedestrian-corridor stress test developed to examine crowd-aware mobile augmented-reality navigation under different demand, capacity, and communication conditions. It is not a field-calibrated digital twin of the complete Najaf-Karbala pilgrimage corridor, and its outputs must not be interpreted as field observations or evidence of operational effectiveness. The package can be reproduced using the pinned Python environment or Docker. Running reproducibility_check.py regenerates 600 baseline runs and 2,160 sensitivity runs, executes the verification suite, and compares the reproduced results with the frozen reference metrics. A successful reproduction produces outputs/reproducibility_report.json with the status PASS. No human-participant data, personal location data, identifiable information, or field observations are included