{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-countrywide-traffic-accident-dataset","title":"A Countrywide Traffic Accident Dataset","arxiv_id":"1906.05409","date":"2019-06-12","proceeding":null,"authors":["Sobhan Moosavi","Mohammad Hossein Samavatian","Srinivasan Parthasarathy","Rajiv Ramnath"],"abstract":"Reducing traffic accidents is an important public safety challenge. However, the majority of studies on traffic accident analysis and prediction have used small-scale datasets with limited coverage, which limits their impact and applicability; and existing large-scale datasets are either private, old, or do not include important contextual information such as environmental stimuli (weather, points-of-interest, etc.). In order to help the research community address these shortcomings we have - through a comprehensive process of data collection, integration, and augmentation - created a large-scale publicly available database of accident information named US-Accidents. US-Accidents currently contains data about $2.25$ million instances of traffic accidents that took place within the contiguous United States, and over the last three years. Each accident record consists of a variety of intrinsic and contextual attributes such as location, time, natural language description, weather, period-of-day, and points-of-interest. We present this dataset in this paper, along with a wide range of insights gleaned from this dataset with respect to the spatiotemporal characteristics of accidents. The dataset is publicly available at https://smoosavi.org/datasets/us_accidents.","url_abs":"https://arxiv.org/abs/1906.05409v1","url_pdf":"https://arxiv.org/pdf/1906.05409v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"a-countrywide-traffic-accident-dataset","repo_url":"https://github.com/Abdurahman-Amat/Kaggle_Projects","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"a-countrywide-traffic-accident-dataset","repo_url":"https://github.com/HarshiniKoduru/USA-Accident-Severity-Prediction-using-GCP","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"a-countrywide-traffic-accident-dataset","repo_url":"https://github.com/adityabandaru4/USA-Accidents-severity-Predicition-using-GCP","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"a-countrywide-traffic-accident-dataset","repo_url":"https://github.com/adityabandaru4/knowledge-based-systems","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"a-countrywide-traffic-accident-dataset","repo_url":"https://github.com/javiergarea/USAccidents","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"a-countrywide-traffic-accident-dataset","repo_url":"https://github.com/pard187/pard187.github.io","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"a-countrywide-traffic-accident-dataset","repo_url":"https://github.com/shubamsumbria66/us-accidents-analysis","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"a-countrywide-traffic-accident-dataset","repo_url":"https://github.com/sureshdontha/Regis_DS692Practicum_I","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"us-accidents","name":"US-Accidents","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1906.05409","atlas_url":"https://app.syntology.ai/?focus=1906.05409","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}