---
license: mit
pretty_name: Bloomington TRNDP Benchmark
task_categories:
- reinforcement-learning
tags:
- transportation
- transit
- routing
- graph
- trndp
- reinforcement-learning
arxiv: 2605.28730
configs:
- config_name: nodes
  data_files:
  - split: benchmark
    path: standard/bloomington_nodes_standard.csv
- config_name: links
  data_files:
  - split: benchmark
    path: standard/bloomington_links_standard.csv
- config_name: demand
  data_files:
  - split: benchmark
    path: standard/bloomington_demand_standard.csv
- config_name: existing_routes
  data_files:
  - split: benchmark
    path: standard/bloomington_existing_routes.json
---

# Bloomington TRNDP Benchmark

Bloomington, Indiana network, demand, and existing-route files used by **AlphaTransit: Learning to Design City-scale Transit Routes**.

## Files

| File | Rows | Description |
| --- | ---: | --- |
| `standard/bloomington_nodes_standard.csv` | 143 | Node IDs and projected coordinates. |
| `standard/bloomington_links_standard.csv` | 243 | Directed road links with length and free-flow speed. |
| `standard/bloomington_demand_standard.csv` | 5,737 | Origin-destination demand table. |
| `standard/bloomington_existing_routes.json` | 16 routes | Bloomington Transit routes used as the real-world baseline. |

## Loading

```python
from datasets import load_dataset

nodes = load_dataset("matrix-multiply/bloomington-tndp", "nodes", split="benchmark")
links = load_dataset("matrix-multiply/bloomington-tndp", "links", split="benchmark")
demand = load_dataset("matrix-multiply/bloomington-tndp", "demand", split="benchmark")
routes = load_dataset("matrix-multiply/bloomington-tndp", "existing_routes", split="benchmark")
```

## Links

- Paper: https://huggingface.co/papers/2605.28730
- Code: https://github.com/poudel-bibek/AlphaTransit
- Checkpoints: https://huggingface.co/matrix-multiply/alphatransit-checkpoints
- Research preview: https://alphatransit.app/
- WandB report: https://api.wandb.ai/links/bibek-poudel/wa4zd1il