Dataset for Benchmarking the Swallow-Bat Algorithm on a Threat-Aware Container Truck Routing Problem

This dataset provides comprehensive benchmark instances for threat-aware container truck routing problems. It includes three modified VRP benchmark instances (21, 33, and 51 customers) enhanced with static spatial threat zones, plus a real-world East African Community transport corridors case study with 25 cities and 16 evidence-based threat zones. The dataset contains complete problem specifications, threat zone definitions, travel cost matrices from OSRM/OpenStreetMap, and performance metrics for six metaheuristic algorithms across 30 independent runs. Data formats include CSV files for node data, threat zones, and travel matrices, plus text files for problem parameters.本数据集为威胁感知型集装箱卡车路径规划问题提供了完整的基准测试实例集。其包含三组经修改的车辆路径问题（Vehicle Routing Problem, VRP）基准实例，分别对应21、33与51个客户节点，且通过添加静态空间威胁区域进行了增强优化；此外还附带一项真实世界场景下的东非共同体（East African Community, EAC）运输走廊案例研究，该案例涵盖25座城市与16个基于实证的威胁区域。本数据集包含完整的问题规范、威胁区域定义、源自OSRM/OpenStreetMap的出行成本矩阵，以及6种元启发式算法在30次独立运行中产生的性能评估指标。数据格式方面，节点数据、威胁区域与出行矩阵采用CSV文件存储，问题参数则以文本文件形式保存。