Datasets › TTE-A&O
TTE-A&O (Travel Time Estimation: Abakan and Omsk)
The dataset includes two parts corresponding to the cities of Abakan (65524 nodes, 340012 edges) and Omsk (231688 nodes, 1149492 edges). Along with the road network graph, it includes trip records represented as sequences of visited nodes (making the dataset suitable both for path-blind and path-aware settings). There are two types of target values for a regression task: real travel time and real length of a trip.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Travel Time Estimation | TTE-A&O | GCT-TTE Root mean square error (RMSE) 147.89 | GCT-TTE: Graph Convolutional Transformer for Travel Time... | eighonet/gct-tte | 6 | Compare |
Papers archive 2025-07-28
2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 2. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation | 1 | 5 | 7 Jun 2023 | not harvested |
| Logistics, Graphs, and Transformers: Towards improving Travel Time Estimation | 1 | 1 | 12 Jul 2022 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
MIT
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- TTE-A&O
1 variant name, as the archive lists them.
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