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.