README.md

metadata

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
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • 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 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.”, 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." 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 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

Licensing Information

The license for this dataset is cc-by-nc-sa-4.0

Citation Information

[More Information Needed]

Contributions

[More Information Needed]