https://github.com/jparedesds/lazy-classifier-traffic-accidents-madrid

Analysis and predictions of Traffic Accidents in the City of Madrid
https://github.com/jparedesds/lazy-classifier-traffic-accidents-madrid

datetime hyperopt lazypredict matplotlib numpy pandas pickle requests seaborn sklearn squarify

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Analysis and predictions of Traffic Accidents in the City of Madrid

• Host: GitHub
• URL: https://github.com/jparedesds/lazy-classifier-traffic-accidents-madrid
• Owner: jparedesDS
• License: apache-2.0
• Created: 2022-12-01T17:26:26.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2025-01-10T07:47:27.000Z (12 days ago)
• Last Synced: 2025-01-10T08:38:08.866Z (12 days ago)
• Topics: datetime, hyperopt, lazypredict, matplotlib, numpy, pandas, pickle, requests, seaborn, sklearn, squarify
• Language: Jupyter Notebook
• Homepage:
• Size: 23.3 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Lazy-Classifier-Traffic-Accidents-Madrid

## Analysis of Traffic Accidents in the City of Madrid

### DATASET STRUCTURE

**Dataset Name:** Traffic Accidents in the City of Madrid (since 2019)

**Description:** Traffic accidents in the City of Madrid recorded by the Municipal Police involving victims and/or property damage.

**Responsible Unit:** General Directorate of the Municipal Police

**Description of the SIGIT application file structure**

**IMPORTANT:**

- The file includes one record per person involved in the accident (drivers, passengers, pedestrians, witnesses, etc.).

- For 2019 and later:

  - The data structure differs from previous years. Details of these structures are available in the 'Associated Documentation' section.

  - Witness records are not included.

- Files from 2010 to 2018 only record accidents involving injuries or municipal property damage.

- The published data is provisional for up to six months after the end of the year.

- Neighborhood-level data is not currently available.

### TYPES OF ACCIDENTS:

- **Double collision:** Traffic accident involving two moving vehicles (head-on, side-front, side collisions).

- **Multiple collision:** Traffic accident involving more than two moving vehicles.

- **Rear-end collision:** Accident occurring when a vehicle in motion or stopped due to traffic circumstances is struck from behind by another vehicle.

- **Collision with obstacle or road element:** Accident involving a moving vehicle with a driver and a stationary object on the road or in an adjacent area (parked vehicle, tree, lamppost, etc.).

- **Pedestrian hit:** Accident involving a vehicle and a pedestrian on the road or walking on sidewalks, refuges, walkways, or other areas of the public road not intended for vehicle traffic.

- **Overturn:** Accident involving a vehicle with more than two wheels, where the tires lose contact with the road and the vehicle ends up on its side or roof.

- **Fall:** Includes all falls related to traffic circumstances (motorcycle, moped, bicycle, bus passenger, etc.).

- **Other causes:** Includes accidents caused by animal collisions, cliff falls, road departures, and other scenarios.

### SEVERITY:

- **01** Emergency care without subsequent admission - *MINOR*

- **02** Hospitalization of 24 hours or less - *MINOR*

- **03** Hospitalization of more than 24 hours - *SERIOUS*

- **04** Death within 24 hours - *FATAL*

- **05** Outpatient care after the accident - *MINOR*

- **06** Immediate medical care at a health center or mutual aid center - *MINOR*

- **07** Medical care only at the accident site - *MINOR*

- **14** No medical care

- **77** Unknown

- **Blank:** No medical care