Dark Mode
Road Accident Survival Predictor
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset contains detailed records of simulated road accident data, focusing on factors influencing survival outcomes. It includes demographic, behavioural, and situational attributes, offering valuable insights into how various elements impact the probability of survival during road accidents.
Columns
- Age: Represents the age of individuals involved in the accident. Values typically range from 18 to 69 years, with a mean of 43.4.
- Gender: Indicates the gender of the individual, categorised as Female (55%), Male (45%), or Other (1%).
- Speed_of_Impact: Details the speed at the moment of impact. Speeds range from 20 to 119, with a mean of 70.4.
- Helmet_Used: A boolean flag indicating whether a helmet was used (56% true) or not (45% false).
- Seatbelt_Used: A boolean flag indicating whether a seatbelt was used (56% true) or not (45% false).
- Survived: Indicates the survival outcome (0 for not survived, 1 for survived). Approximately 51% survived.
Distribution
The dataset is provided as a CSV file, named
accident.csv, and is approximately 4.54 kB in size. It comprises 6 columns and contains approximately 200 records or rows. Specific exact row counts for all columns are provided within the dataset details, with most columns having 200 valid entries, while some have slightly fewer due to missing values.Usage
This dataset is ideal for analysing the impact of age, speed, and safety measures on road accident survival. It can be used for building classification models, such as Binary Classification, using techniques like Random Forest and Logistic Regression, to predict survival outcomes. It is also suitable for feature engineering and identifying key factors influencing accident survival probability.
Coverage
The dataset consists of simulated road accident data. Demographic coverage includes individuals across a wide age range (18 to 69 years) and various genders (Female, Male, Other). No specific geographic or time-range coverage is specified as the data is simulated.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for data scientists, machine learning engineers, and researchers interested in accident analysis, public safety, and predictive modelling. It can be used to develop models that assess survival probabilities, understand risk factors, and evaluate the effectiveness of safety interventions in simulated accident scenarios.
Dataset Name Suggestions
- Road Accident Survival Predictor
- Accident Survival Factors Dataset
- Simulated Crash Outcome Data
- Safety Measures Impact on Survival
- Road Safety Analytics Dataset
Attributes
Original Data Source: Road Accident Survival Predictor
QUALITY