Google Research has introduced MilleMiglia, a realistic instance generator for middle-mile logistics. The project is positioned in the Algorithms & Theory section of the Google Research blog, pointing to its intended use as a research tool for studying optimization problems rather than a production-ready logistics system.
Instance generators play an important role in algorithm development because they provide standardized problem inputs for testing and comparison. By focusing on the middle-mile portion of logistics, MilleMiglia gives researchers a way to explore routing and planning challenges that sit between first- and last-mile operations.
Since there is only one source, this summary reflects Google Research’s description of the tool and does not compare it against other logistics benchmarks or generators.