# Bike Trip Duration Prediction — Data

来源：https://www.kaggle.com/competitions/biketripdurationprediction/data

采集时间：2026-10-19T13:16:11Z

The dataset used for predicting bike trip duration includes various features from a bike-sharing system, combined with weather data to enhance prediction accuracy. The features include trip duration, trip distance, pickup and dropoff locations (latitude and longitude), and several weather conditions such as temperature, precipitation, wind speed, humidity, solar radiation, snowfall, ground temperature, and 1-hour average dust concentration.

These variables are key to understanding the factors influencing trip duration, helping to build a robust predictive model that advances the efficiency of Intelligent Transport Systems (ITS) and traveler information systems.

## Files

*   **train.csv** - the training set
*   **test.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format