Problem data for Dynamic Pickup and Delivery Problem(DPDP)

This data is used for Dynamic Pickup and Delivery Problem(DPDP). Our data is modified the data of van Lon & Holvoet (2015). The data has 3 sub-folders (Timely ratio, Dynamism, Rep). * Timely ratio: The ratio of each order type. Order can be divided into "timely order" and "within order". 'Within' aims to arrive at the delivery location until the requested arrival time, and 'Timely' aims to arrive at the delivery location at the exact requested arrival time to perform the delivery task. * Dynamism: Affecting order arriving rate. Values closer to 0 indicate the time interval between adjacent orders is too small, while values closer to 1 represent a uniform distribution throughout the entire time period. * Rep: Replication Each replication folder has 360 orders. The replication folder means one scenario. Each order is forms of ".json" and each factor means below: * currOrder: order information * vehicleList: vehicle information * prevOrderList: previous recieved order list * vehicleScheduleList: vehicle schedule list at the time of current order arriving * vehicleLocation: vehicle location list at the time of current order arriving You just use "currOrder " with your research.本数据集用于动态取送货问题（Dynamic Pickup and Delivery Problem, DPDP）。本数据集基于van Lon & Holvoet (2015) 的公开数据修改构建。数据集包含3个子文件夹，分别为Timely ratio、Dynamism和Rep： * Timely ratio：用于表征各类订单的占比。订单可分为准时订单（timely order）与时限内订单（within order）两类。其中，时限内订单要求在请求的到达时限前抵达配送地点，准时订单则要求严格按照请求的指定抵达时间到达配送地点以完成配送任务。 * Dynamism：用于调控订单的到达速率。取值越接近0，代表相邻订单间的时间间隔越短；取值越接近1，则代表订单在整个时段内服从均匀分布。 * Rep：即Replication（重复实验）。每个重复文件夹对应一个独立实验场景，内含360个订单。 所有订单均以".json"格式存储，各字段含义如下： * currOrder：当前订单的详细信息 * vehicleList：车辆信息列表 * prevOrderList：已接收的历史订单列表 * vehicleScheduleList：当前订单到达时刻的车辆调度列表 * vehicleLocation：当前订单到达时刻的车辆位置列表 开展相关研究时，仅需使用currOrder字段即可。