Transportation and Accident Records Dataset

This dataset contains structured transportation and road accident records designed forresearch, machine learning model development, and academic analysis. The data includesinformation on accident severity, date and time, location, vehicle details, driver conditions,weather parameters, and road characteristics. The dataset was created to support projects involving accident prediction, transportation safety analysis, and smart transport alert systems. It is suitable for machine learning classification tasks (such as severity prediction), geospatial mapping, and trend analysis. The dataset is synthetic but follows realistic patterns based on transportation conditions and accident statistics. It is fully cleaned, validated, and formatted for direct use in data science workflows. This dataset accompanies the “Smart Transport Accident Prediction & Alert System” project using a Random Forest model.