New York City Taxi Trip Data (2016)

该数据集包含了纽约市出租车乘坐信息，其中包括每趟行程的精确GPS位置数据，这些数据被用于生成共享出行算法评估的行程请求。此外，该数据集之所以被特别选用，是因为其详尽的GPS数据，这对于精确模拟行程请求并生成共享出行服务的解释至关重要。该数据集的规模较大，包含了330万5千零一十七个可能的乘客分区。任务是基于行程请求，生成乘客与出租车的分配方案。

This dataset contains taxi ride information from New York City, including precise GPS location data for each trip. These data are employed to generate trip requests for shared mobility algorithm evaluation. Additionally, this dataset was specifically selected due to its comprehensive GPS data, which is critical for accurately simulating trip requests and generating explanations for shared mobility services. The dataset is large-scale, encompassing 3,305,017 potential passenger zones. The task is to generate passenger-taxi allocation plans based on trip requests.