MAPF Grid Benchmarks

该数据集包含了44个多代理路径查找（MAPF）网格基准测试，这些测试涵盖了不同邻接连通性（包括4邻接、8邻接、16邻接和32邻接）的情景，旨在检验连续时间基于冲突搜索（CCBS）算法的增强效果。此外，数据集还包含了多种道路图：稀疏、密集和超密集道路图，以及原始CCBS作者关注的网格地图。该数据集被用于分析增强后的CCBS算法的性能。整个数据集的规模为44个基准测试，针对的任务是多代理路径查找（MAPF）。

This dataset contains 44 grid-based benchmarks for Multi-Agent Path Finding (MAPF). These benchmarks cover scenarios with various adjacency connectivities, including 4-connectivity, 8-connectivity, 16-connectivity, and 32-connectivity, and are intended to evaluate the enhanced performance of the Continuous-Time Conflict-Based Search (CCBS) algorithm. Additionally, the dataset includes multiple types of roadmaps: sparse, dense, and ultra-dense roadmaps, as well as the grid maps originally focused on by the authors of the seminal CCBS work. This dataset is utilized to analyze the performance of the enhanced CCBS algorithm. Overall, this dataset consists of 44 benchmarks targeting the Multi-Agent Path Finding (MAPF) task.