Ship Routing Problem Dataset

This is a dataset about minimizing maritime passenger transfer in ship routing. consists of data on the distance between ports, the number of passengers from the port of origin to the port of destination, ship speed, and the duration of berthing at ports.This is a multi-depot, heterogeneous, and asymmetric Vehicle Routing Problem. in the sense that this problem contains multiple depots, with vehicles of varying types, and the distance between ports is not always the same in the opposite direction. There are 82 ports which will be served by 25 ships. 70 ports are customer ports, and 12 ports are fuel ports (depots). Costumer ports are c1 to c70, and fuel ports are f1 to f12.See this project for more detail https://ieeexplore.ieee.org/abstract/document/10539980. The dataset is also archived here https://terabox.com/s/150TWCUH2LQaN9OWeWU3Piw.

本数据集专注于船舶航线中海上旅客转运最小化问题。该数据集包含港口间距离、从始发港至目的港的旅客数量、船舶速度以及港口停靠时长等数据。该问题为多仓库、异构且非对称的车辆路径问题，其中包含多个仓库、不同类型的车辆，且港口间的距离在相反方向上并不总是相等。共有82个港口将由25艘船舶提供服务，其中70个为客运港口，12个为燃料港口（仓库）。客运港口编号为c1至c70，燃料港口编号为f1至f12。更多项目详情请参阅https://ieeexplore.ieee.org/abstract/document/10539980。数据集亦存档于https://terabox.com/s/150TWCUH2LQaN9OWeWU3Piw。

搜集汇总

背景与挑战

背景概述

该数据集专注于船舶路径优化问题，特别关注最小化海上乘客转移。它包含多仓库、异构和非对称的车辆路径问题，涉及82个港口（70个客户港口和12个燃料港口）和25艘船，提供了港口间距离、乘客数量、船速和停泊时间等关键数据。