{"url":"/dataset/vluc","name":"VLUC","full_name":"Video-Like Urban Computing","description_markdown":"VLUC (Video-Like Urban Computing) is a benchmark for video-like computing on citywide traffic density and crowd prediction. It consists of two new datasets BousaiTYO and BousaiOSA and existing datasets TaxiBJ, BikeNYC I-II, and TaxiNYC.\r\n\r\n\r\nSource: [VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction](https://arxiv.org/abs/1911.06982)","description_withheld":null,"homepage":"https://github.com/deepkashiwa20/VLUC","introduced_date":"2019-11-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/vluc-an-empirical-benchmark-for-video-like","title":"VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction","first_author":"Renhe Jiang","url":null},"license":null,"modalities":[{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[{"name":"Traffic Prediction","url":"/task/traffic-prediction","datasets_with_task":"/datasets/task/traffic-prediction"}],"languages":[],"variants":["VLUC"],"data_loaders":[{"repo":"https://github.com/deepkashiwa20/VLUC","url":"https://github.com/deepkashiwa20/VLUC","frameworks":["tf"]}],"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."}