Datasets:

matrix-multiply
/

bloomington-tndp

license: mit
pretty_name: Bloomington TRNDP Benchmark
task_categories:
  - reinforcement-learning
tags:
  - transportation
  - transit
  - routing
  - graph
  - trndp
  - reinforcement-learning
arxiv: 2605.2873
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

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")

Bloomington TRNDP Benchmark

Files

Loading

Links