SJMMA 2025 Problem Collection

Inventory, not endorsement. This page makes the project discoverable without turning its notebooks, source files, or raw outputs into an editorial article. Findings will only be summarized after manual technical and editorial review.

Repository inventory

Technical catalogue entry for SJMMA 2025 Problem Collection, recording 46 Python files. Outputs remain unreviewed until promoted into an editorial project overview.

From the project documentation

1. External CFD wind-field authority (OpenFOAM or MATLAB CFD) produces wind/turbulence fields on a representative urban district. 2. Python samples those fields along an OSM road graph to build edge costs. 3. Improved NSGA-II generates Pareto-optimal routes balancing travel time, energy, and pollen exposure. 4. Dynamic wind (Task 4) is handled by time-sliced field blending and optional recourse re-optimization. 5. Public advice (Task 5) is generated from the Pareto solutions and sensitivity-style results.

Read the complete project README.

files: 158
python: 46
data: 17

Included problem areas

ProblemB
ProblemD

Current limitations

This is an inventory-level catalogue entry, not a reviewed research claim.
Code, notebooks, and generated outputs have not been treated as proof of validation or reproducibility.

Promotion path

To become an editorial project overview, this directory needs a reviewed question, provenance, reproducibility instructions, verified outputs, explicit limitations, and any public figures approved through figures/publish/.