Boujnord real data set for the time-dependent two- echelon truck and drone routing problem

In this data set, we presented a real instance for the time-dependent two-echelon truck and drone routing problem. This data set is for a well-known company in Iran, and the data is for Boujnord city. for the maximum size, we have chosen 100 locations of customers and 30 locations for parking stations and from this large-sized instance, we made 41 instances. this data is prepared for the time-dependent two-echelon truck and drone routing problem, where the truck stops at parking stations and the drone delivers parcels to the customers. A readme file in the data set describes the model elaborately.本数据集提供了一个面向时变两级卡车-无人机路径规划问题（time-dependent two-echelon truck and drone routing problem）的真实实例。本数据集面向伊朗某知名企业，相关数据采集自博伊努德市。针对最大规模场景，我们选取了100个客户点位与30个停靠站点点位，并基于该大规模实例生成了41个子实例。本数据集专为上述时变两级卡车-无人机路径规划问题构建，该问题中卡车停靠于停靠站点，由无人机向客户递送包裹。数据集中附带的README文件将对该模型进行详尽阐述。

搜集汇总

背景与挑战

背景概述

该数据集为伊朗Boujnord市提供真实的时间依赖两级卡车和无人机路径规划问题实例，包含100个客户位置和30个停车站，并基于此生成41个测试案例，用于研究卡车与无人机协同配送的优化问题。数据集附有详细说明文件，适用于运输和货运服务领域的研究。