amazon.science analytics deep learning geospatial last mile logistics machine learning optimization routing transportation urban
The 2021 Amazon Last Mile Routing Research Challenge was an innovative research initiative led by Amazon.com and supported by the Massachusetts Institute of Technology’s Center for Transportation and Logistics. Over a period of 4 months, participants were challenged to develop innovative machine learning-based methods to enhance classic optimization-based approaches to solve the travelling salesperson problem, by learning from historical routes executed by Amazon delivery drivers. The primary goal of the Amazon Last Mile Routing Research Challenge was to foster innovative applied research in route planning, building on recent advances in predictive modeling, and using a real-world problem and data.
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Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. The material for the Amazon Last Mile Routing Research Challenge is provided under a Creative Commons Attribution-NonCommercial 4.0 International Public License (the “License”). You may not use this material except in compliance with the License. You may obtain a copy of the License at: https://creativecommons.org/licenses/by-nc/4.0/legalcode.txt
https://github.com/MIT-CAVE/rc-cli/blob/main/templates/data_structures.md
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lastmile-research-challenge@amazon.com
2021 Amazon Last Mile Routing Research Challenge Dataset was accessed on DATE
from https://registry.opendata.aws/amazon-last-mile-challenges. Merchan, Daniel; Pachon, Julian; Arora, Jatin; Konduri, Karthik; Winkenbach, Matthias; Parks, Steven; Noszek, Joseph. (2022). Seattle: Amazon.com.
arn:aws:s3:::amazon-last-mile-challenges
us-west-2
aws s3 ls --no-sign-request s3://amazon-last-mile-challenges/