Name: 2021 Amazon Last Mile Routing Research Challenge Dataset
License: 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

amazon.science analytics deep learning geospatial last mile logistics machine learning optimization routing transportation urban

Description

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.

Update Frequency

None

License

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

Documentation

https://github.com/MIT-CAVE/rc-cli/blob/main/templates/data_structures.md

Managed By

See all datasets managed by Amazon.

Contact

lastmile-research-challenge@amazon.com

How to Cite

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.

Usage Examples

Tools & Applications

AWS Last Mile Route Sequence Optimization by Chen Wu, Yin Song, Verdi March, Eden Duthi
Code repository used for the 2021 Amazon Routing Research Challenge (this repository is included for reference and documentation purposes only, you do not need to install it to access the data) by CAVE Lab, MIT Center for Transportation and Logistics

Resources on AWS

Description

Dataset including training and testing data. Folder almrrc2021_data_training includes 6,112 historical routes used for model traning; folder almrrc2021_data_evaluation includes 3072 historical routes used for model evaluation. All routes correspond to year 2018. Please refer to the documentation for details on folder and data structure (https://github.com/MIT-CAVE/rc-cli/blob/main/templates/data_structures.md).

Resource type

S3 Bucket

Amazon Resource Name (ARN)

arn:aws:s3:::amazon-last-mile-challenges

AWS Region

us-west-2

AWS CLI Access (No AWS account required)

aws s3 ls --no-sign-request s3://amazon-last-mile-challenges/