{"url":"/dataset/bus-trajectory-dataset","name":"Bus Trajectory Dataset","full_name":null,"description_markdown":"This dataset contains the bus trajectory dataset collected by 6 volunteers who were asked to travel across the sub-urban city of Durgapur, India, on intra-city buses (route name: 54 Feet). During the travel, the volunteers captured sensor logs through an Android application installed on COTS smartphones.","description_withheld":null,"homepage":"https://github.com/stilllearningsoumya/bus_trajectory_dataset/","introduced_date":"2021-05-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/exploiting-multi-modal-contextual-sensing-for","title":"Exploiting Multi-modal Contextual Sensing for City-bus's Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction","first_author":"Ratna Mandal","url":null},"license":null,"modalities":[{"name":"Environment","url":"/datasets/modality/environment"},{"name":"Actions","url":"/datasets/modality/actions"},{"name":"Stereo","url":"/datasets/modality/stereo"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Bus Trajectory Dataset"],"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."}