Ziyuan111/traffic_accident_data

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Dataset Card for Car Crash Dataset

Dataset Details

• NetID: zm83
• Repository: Access the Car Crash Dataset on Kaggle
• License: Apache 2.0
• Expected Update Frequency: Never (Last updated 22 days ago)

Dataset Description

The Car Crash Dataset provides a comprehensive collection of detailed records on traffic accidents from 2003 to 2015 in Monroe County. It offers insights into various factors influencing road accidents, including collision severity, weather conditions, road types, and other contributing factors. This dataset is crucial for analyses aimed at improving road safety and implementing preventive measures.

Collaborators

• Jackson Divakar R (Owner)

Provenance

Data for the Car Crash Dataset come from:

• Official traffic incident reports
• Law enforcement records
• Insurance claims

These sources ensure a comprehensive and accurate representation of the factors contributing to road accidents.

Collection Methodology

A consistent methodology was applied during the compilation of data from various sources to ensure the accuracy and reliability of the dataset.

Dataset Summary

The dataset is a meticulous aggregation of data points that delve into the factors influencing road accidents, documenting various aspects of car crashes. It is designed to facilitate the development of predictive models, safety analytics, and enhanced traffic management systems.

Dataset Uses

The Car Crash Dataset can be used for a variety of applications, including traffic safety analysis, urban planning, machine learning, policy development, public health, and insurance analysis. It supports in-depth research into the causes and consequences of road traffic accidents.

Possible Topics for Analysis

The dataset supports a range of analysis topics, such as:

• The effect of weather conditions on road accidents
• Correlations between traffic volume and accident frequency
• The effectiveness of road safety laws and regulations
• Geographic analysis of accident hotspots
• Human factors versus environmental factors in accidents
• Vehicle type and collision severity

Curation Motivation

The dataset was curated to provide a resource for stakeholders to understand and mitigate the factors behind road accidents, aiming to reduce their frequency and severity, and to support the development of road safety strategies. Researchers and analysts are invited to use this dataset to explore various topics and generate actionable insights for community safety and well-being.

Data Instances

A typical entry in the dataset might look like the following (example in JSON format):

{
  "accident_id": "XYZ123",
  "timestamp": "2015-08-21T14:30:00Z",
  "location": {
    "latitude": 43.1566,
    "longitude": -77.6088
  },
  "severity": "Moderate",
  "weather_condition": "Clear",
  "road_type": "Highway",
  "vehicles_involved": 2,
  "contributing_factors": ["Speeding", "Distracted Driving"]
}

Additional fields in the dataset may include but are not limited to:

{
  "injury_types": ["None", "Minor", "Severe"],
  "involved_parties": {
    "drivers": [
      {
        "age": 35,
        "gender": "Female",
        "driving_experience": "10 years"
      },
      {
        "age": 22,
        "gender": "Male",
        "driving_experience": "2 years"
      }
    ],
    "pedestrians": []
  },
  "collision_type": "Rear-end",
  "law_enforcement_response": {
    "response_time": "5 minutes",
    "actions_taken": ["Traffic control", "Medical assistance"]
  }
}