Amazon.com has recently released a publicly accessible copy of the dataset used during the 2021 Last Mile Routing Research Challenge. This dataset is further described in a short technical article published in Transportation Science. The technical article can also be...

In connection with the “Last-Mile Routing Research Challenge” co-hosted by  Amazon and the MIT Center for Transportation & Logistics in 2021, we are excited to announce a special issue of Transportation Science focused on machine learning-based approaches to...

Technical Proceedings of the Amazon Last-Mile Routing Research Challenge have been published by the MIT Megacities Logistics Lab. The proceedings document, available through MIT DSpace, provides a consolidated overview of the short technical papers finalists submitted...

Congratulations to all winners and participating teams for such an excellent challenge. Each model addressed the challenge data in a unique way. The methodological approaches that were chosen by the participants frequently combined traditional exact and heuristic...

The research challenge attracted more than two thousand interested participants from around the world. 229 researcher teams formed during the spring of 2021 to independently develop solutions that incorporated driver know-how into route optimization models with the...

Machine Learning Methods and Applications in Large-Scale Route Planning Problems - Submission deadline November 30, 2021 Following the “Last-Mile Routing Research Challenge” that  MIT CTL co-hosted with Amazon, Matthias Winkenbach will be guest editing a...

Author: Douglas Gantenbein. This article originally appeared at Amazon Science Finding the optimal route between multiple destinations — the traveling salesman problem — is a challenge regularly faced by Amazon’s Last Mile team. Meeting that challenge has...