--- license: - cc-by-nc-sa-4.0 kaggle_id: sobhanmoosavi/us-accidents dataset_info: features: - name: ID dtype: string - name: Source dtype: string - name: Severity dtype: int64 - name: Start_Time dtype: string - name: End_Time dtype: string - name: Start_Lat dtype: float64 - name: Start_Lng dtype: float64 - name: End_Lat dtype: float64 - name: End_Lng dtype: float64 - name: Distance(mi) dtype: float64 - name: Description dtype: string - name: Street dtype: string - name: City dtype: string - name: County dtype: string - name: State dtype: string - name: Zipcode dtype: string - name: Country dtype: string - name: Timezone dtype: string - name: Airport_Code dtype: string - name: Weather_Timestamp dtype: string - name: Temperature(F) dtype: float64 - name: Wind_Chill(F) dtype: float64 - name: Humidity(%) dtype: float64 - name: Pressure(in) dtype: float64 - name: Visibility(mi) dtype: float64 - name: Wind_Direction dtype: string - name: Wind_Speed(mph) dtype: float64 - name: Precipitation(in) dtype: float64 - name: Weather_Condition dtype: string - name: Amenity dtype: bool - name: Bump dtype: bool - name: Crossing dtype: bool - name: Give_Way dtype: bool - name: Junction dtype: bool - name: No_Exit dtype: bool - name: Railway dtype: bool - name: Roundabout dtype: bool - name: Station dtype: bool - name: Stop dtype: bool - name: Traffic_Calming dtype: bool - name: Traffic_Signal dtype: bool - name: Turning_Loop dtype: bool - name: Sunrise_Sunset dtype: string - name: Civil_Twilight dtype: string - name: Nautical_Twilight dtype: string - name: Astronomical_Twilight dtype: string splits: - name: train num_bytes: 3147354997 num_examples: 7728394 download_size: 1088140045 dataset_size: 3147354997 --- # Dataset Card for US Accidents (2016 - 2023) ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** https://kaggle.com/datasets/sobhanmoosavi/us-accidents - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary ### Description This is a countrywide car accident dataset, which covers __49 states of the USA__. The accident data are collected from __February 2016 to Mar 2023__, using multiple APIs that provide streaming traffic incident (or event) data. These APIs broadcast traffic data captured by a variety of entities, such as the US and state departments of transportation, law enforcement agencies, traffic cameras, and traffic sensors within the road-networks. Currently, there are about __7.7 million__ accident records in this dataset. Check [here](https://smoosavi.org/datasets/us_accidents) to learn more about this dataset. ### Acknowledgements Please cite the following papers if you use this dataset: - Moosavi, Sobhan, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, and Rajiv Ramnath. “[A Countrywide Traffic Accident Dataset](https://arxiv.org/abs/1906.05409).”, 2019. - Moosavi, Sobhan, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, and Rajiv Ramnath. ["Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights."](https://arxiv.org/abs/1909.09638) In proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, 2019. ### Content This dataset has been collected in real-time, using multiple Traffic APIs. Currently, it contains accident data that are collected from February 2016 to Dec 2021 for the Contiguous United States. Check [here](https://smoosavi.org/datasets/us_accidents) to learn more about this dataset. ### Inspiration US-Accidents can be used for numerous applications such as real-time car accident prediction, studying car accidents hotspot locations, casualty analysis and extracting cause and effect rules to predict car accidents, and studying the impact of precipitation or other environmental stimuli on accident occurrence. The most recent release of the dataset can also be useful to study the impact of COVID-19 on traffic behavior and accidents. ### Usage Policy and Legal Disclaimer This dataset is being distributed only for __Research__ purposes, under Creative Commons Attribution-Noncommercial-ShareAlike license (CC BY-NC-SA 4.0). By clicking on download button(s) below, you are agreeing to use this data only for non-commercial, research, or academic applications. You may need to cite the above papers if you use this dataset. ### Inquiries or need help? For any inquiries, contact me at moosavi.3@osu.edu ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators This dataset was shared by [@sobhanmoosavi](https://kaggle.com/sobhanmoosavi) ### Licensing Information The license for this dataset is cc-by-nc-sa-4.0 ### Citation Information ```bibtex [More Information Needed] ``` ### Contributions [More Information Needed]