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 to document their methodological approach and its expected performance. 

The dataset shared with Challenge participants is also now available on Harvard Dataverse.

Amazon and CTL Announce Winners of Last-Mile Routing Research Challenge

Winners of the Amazon Last-Mile Routing Research Challenge were announced in a live webinar event held on July 30, 2021. Amazon and the MIT Center for Transportation & Logistics created the challenge to engage with a global community of researchers across a range of disciplines, from computer science to business operations to supply chain management, challenging them to build data-driven route optimization models leveraging massive historical route execution data. The three winning teams were awarded prize money totaling $175,000 for their innovative route optimization models.

Winners ($100,000): 
Professor William Cook, University of Waterloo, Canada; Professor Stephan Held, University of Bonn, Germany; and Professor Emeritus Keld Helsgaun, Roskilde University, Denmark. 

Runners Up ($50,000): 
Xiaotong Guo, Qingyi Wang, and Baichuan Mo, doctoral students at MIT.

3rd Place ($25,000):
Professor Okan Arslan, HEC Montréal; and Rasit Abay, PhD student at the University of New South Wales, Australia.

Read more:

MIT News: Last-mile routing research challenge awards $175,000 to three winning teams

Amazon Science: Winning Last Mile Challenge team addresses problem of combining mathematical routes with driver knowledge

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 optimization approaches with non-traditional machine learning methods.

Watch the award ceremony here.

  • 00:01-11:24 – Setting the context of the research challenge
  • 11:25 – 18:16 – Outline of the collaboration between MIT CTL and Amazon
  • 18:17 – 20:52 – Review of challenge problem set and criteria
  • 20:53 – 25:52 – Overview of participants, locations, and demographics
  • 25:53 – 29:59 – Winners’ announcements and leaderboard
  • 33:00 – 40:25 – Future publications and conclusion

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 intent that they would outperform traditional optimization approaches. Out of the 48 teams whose models qualified for the final round of the challenge, these teams’ work stood out above the rest.

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 special issue of Transportation Science on “Machine Learning Methods and Applications in Large-Scale Route Planning Problems” together with colleagues Julian Pachon and Karthik Konduri from Amazon, and Stefan Spinler from WHU – Otto Beisheim School of Management.

Review the call for papers below. The submission deadline is November 30, 2021. We look forward to your submissions! https://pubsonline.informs.org/page/trsc/calls-for-papers