Liftago On-Demand Transport Dataset

Liftago On-Demand Transport Dataset是由捷克技术大学计算机科学系与Liftago公司合作创建的，包含2015年在布拉格收集的31,787次乘车订单数据。数据集记录了乘客请求的时间、接送地点、司机ID、司机初始位置及响应等信息，并补充了每20秒采样的司机GPS位置数据。创建过程中，从交易数据中提取了多个特征，如接送距离、乘车距离等。该数据集主要用于开发基于机器学习的市场形成算法，旨在提高乘客与司机匹配的相关性和效率，减少司机的干扰，同时保证服务的可用性。

The Liftago On-Demand Transport Dataset was developed via a collaboration between the Department of Computer Science of the Czech Technical University and Liftago Inc. It contains 31,787 ride order records collected in Prague in 2015. The dataset logs details including the timestamp of passenger ride requests, pickup and drop-off locations, driver ID, driver's initial position and response status, and supplements with driver GPS position data sampled at 20-second intervals. During the dataset's creation, multiple features were extracted from the underlying transaction data, such as pickup-to-dropoff distance, ride distance, and others. This dataset is primarily used for developing machine learning-based market formation algorithms, which aim to enhance the relevance and efficiency of passenger-driver matching, reduce distractions for drivers, and guarantee service availability.