Code and Data Repository for Data-driven capacity management of ride-hailing service with prescriptive analytics and deep learning
该仓库提供论文中图表复现所需的代码与数据，深度学习相关方法重复10次取平均值以确保可靠性，CPU时间和内存使用结果来自单次运行。
The purpose of this repository is to enable the reproduction of the tables and figures presented in the paper and its Supplementary Material. Since we did not set a random seed, the results related to the deep learning methods may exhibit some normal fluctuations. To ensure reliable results, we performed each deep learning related approach 10 times and returned the average value. All CPU time and memory utility (MU) results are from a single run and may vary across runs or environments.