Challenge Updates

Technical Proceedings, Participant Dataset Published

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...

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Last-mile routing challenge awards ceremony – webinar event

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...

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Last-mile routing challenge team performance and leaderboard.

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...

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Transportation Science special issue. Call for papers

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...

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Challenge FAQ’s

Have a question about the Amazon Last Mile Routing Research Challenge? Read through our list of common FAQs before reaching out.

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Awards & Incentives

Participants will have the opportunity to work on a realistic and very challenging problem with large, real-world data sets provided by Amazon that are currently not publicly available to the research community. The problem tackled in the Last Mile Routing Research...

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Eligibility and Rules

Eligible Participants The Last Mile Routing Research Challenge will be open to senior undergraduate students, graduate students and university-affiliated researchers from all over the world. Participants can compete individually, or in teams of up to three members All...

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