面向共享出行的大规模群体激励建模数据集

面向共享出行的大规模群体激励建模数据集的元数据采集自共享出行网约车GPS信号，结合共享出行订单信息。该数据集主要面向基于互联网的群智涌现机理与计算方法，用于群智激励的均衡引导与优化验证，支持大规模群体的激励建模。数据集包括7065937条共享出行订单数据，共663 MB (695,910,172 字节)。The metadata of the large-scale group incentive modeling dataset for shared ride-hailing services is collected from GPS signals of online car-hailing vehicles and paired with ride-hailing order data. This dataset is designed for research on internet-based collective intelligence emergence mechanisms and computational methods, to enable balanced guidance and optimization verification of collective intelligence incentives, and to support incentive modeling for large-scale groups. The dataset comprises 7,065,937 ride-hailing order records, with a total size of 663 MB (695,910,172 bytes).

搜集汇总

背景与挑战

背景概述

该数据集基于共享出行网约车GPS信号和订单信息构建，旨在支持大规模群体的激励建模，用于群智激励的均衡引导与优化验证。它包含超过700万条订单数据，总大小约为663MB。