{"url":"/dataset/equilibrium-traffic-networks","name":"Equilibrium-Traffic-Networks","full_name":null,"description_markdown":"This repository contains three graph datasets for the UE traffic assignment problem on Sioux-Falls, Eastern-Massachusetts and Anaheim networks in both dgl and pyg formats. The datasets are generated and used to train and evaluate models for solving the User Equilibrium (UE) problem on three transportation networks:\r\n\r\n- ** Sioux-Falls**\r\n\r\n- ** Eastern-Massachusetts**\r\n\r\n- **Anaheim **\r\n\r\nThese networks are sourced from the well-known  *\"transport networks for research\"*  repository.\r\n\r\nThese datasets are generated for the study **\"A hybrid deep-learning-metaheuristic framework for bi-level network design problems\"** by Bahman Madadi and Gonçalo H. de Almeida Correia, published in *Expert Systems with Applications*. \r\n\r\n## Metadata\r\nDetailed information can be found in the  `Metadata.md`  file.\r\n\r\n## Links\r\n- **Figshare Dataset Repository**: [Link](https://doi.org/10.6084/m9.figshare.27889251)\r\n\r\n## References\r\n- **Article**: *A hybrid deep-learning-metaheuristic framework for bi-level network design problems* - [Link](https://doi.org/10.1016/j.eswa.2023.122814)\r\n- **GitHub Repository**: *HDLMF_GIN-GA* - [Link](https://github.com/bahmanmdd/HDLMF_GIN-GA)\r\n- **Primary Figshare Data Repository**: [Link](https://doi.org/10.6084/m9.figshare.27889251)\r\n\r\nNote: This dataset is maintained at [Figshare](https://doi.org/10.6084/m9.figshare.27889251).","description_withheld":null,"homepage":"https://figshare.com/articles/dataset/_b_Equilibrium-Traffic-Networks_b_/27889251","introduced_date":"2023-03-10","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-hybrid-deep-learning-metaheuristic","title":"A hybrid deep-learning-metaheuristic framework for bi-level network design problems","first_author":"Bahman Madadi","url":null},"license":{"name":"CC BY 4.0","url":null},"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Traffic Prediction","url":"/task/traffic-prediction","datasets_with_task":"/datasets/task/traffic-prediction"},{"name":"Equilibrium traffic assignment","url":"/task/equilibrium-traffic-assignment","datasets_with_task":"/datasets/task/equilibrium-traffic-assignment"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Equilibrium-Traffic-Networks"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}