2021 Amazon Last Mile Routing Research Challenge Dataset

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
  

Publications

• 2021 Amazon Last Mile Routing Research Challenge: Data Set by Daniel Merchán, Jatin Arora, Julian Pachon, Karthik Konduri, Matthias Winkenbach, Steven Parks, Joseph Noszek
  
• Can language models be used for real-world urban-delivery route optimization? by Yang Liu, Fanyou Wu, Zhiyuan Liu, Kai Wang, Feiyue Wang, Xiaobo Qu
  
• Constrained Local Search for Last-Mile Routing by William Cook, Stephan Held, Keld Helsgaun
  
• Crowdkeeping in Last-Mile Delivery by Xin Wang , Okan Arslan , Erick Delage
  
• Does parking matter? The impact of parking time on last-mile delivery optimization by Sara Reed, Ann Melissa Campbell, Barrett W. Thomas
  
• Human-Centric Parcel Delivery at Deutsche Post with Operations Research and Machine Learning by Uğur Arikan , Thorsten Kranz, Baris Cem Sal, Severin Schmitt, Jonas Witt
  
• Integrating driver behavior into last-mile delivery routing - Combining machine learning and optimization in a hybrid decision support framework by Peter Dieter, Matthew Caron, Guido Schryen
  
• Inverse Optimization for Routing Problems by Pedro Zattoni Scroccaro, Piet van Beek, Peyman Mohajerin Esfahani, Bilge Atasoy
  
• Learn global and optimize local A data-driven methodology for last-mile routing by Mayukh Ghosh, Alex Kuiper, Roshan Mahes, Donato Maragno
  
• Machine Learning for Data-Driven Last-Mile Delivery Optimization by Sami Serkan Özarik, Paulo da Costa, Alexandre M. Florio
  
• Making opportunity sales in attended home delivery by Çelen Naz Ötken, Bariş Yildiz, Okan Arslan, Gilbert Laporte
  
• Planning robust drone-truck delivery routes under road traffic uncertainty by Yu Yang, Chiwei Yan, Yufeng Cao, Roberto Roberti
  
• Predicting drivers route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network by Baichuan Mo, Qingyi Wang, Xiaotong Guo, Matthias Winkenbach, Jinhua Zhao
  
• Probability estimation and structured output prediction for learning preferences in last mile delivery by Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Maxime Mulamba, Yves Molenbruch, Tias Guns
  
• The Driver-Aide Problem Coordinated Logistics for Last-Mile Delivery by S. Raghavan , Rui Zhang
  

Low Altitude Disaster Imagery (LADI) Dataset

Tutorials

• LADI v1 Tutorials by Andrew Weinert, Jianyu Mao, Kiana Harris, Nae-Rong Chang, Caleb Pennell, Yiming Ren, Ryan Earley, Nadia Dimitrova
  
• LADI v2 Overview by Jeffrey Liu, Sam Scheele, Katherine Picchione
  

Tools & Applications

• NIST TRECVID 2020 - Disaster Scene Description and Indexing (DSDI) by TREC Video Retrieval Evaluation (TRECVID)
  
• Remote Sensing for Disaster Response Course by Beaver Works Summer Institute
  

Publications

• Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI by Vamshi Krishna Enabothala, Morgan Dutton, and Sandeep Verma
  
• An overview on the evaluated video retrieval tasks at TRECVID 2022 by George Awad, Keith Curtis, Asad Butt, Jonathan Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Eliot Godard, Lukas Diduch, Jeffrey Liu, Yvette Graham, Georges Quenot
  
• Evaluating Multiple Video Understanding and Retrieval Tasks at TRECVID 2021 by George Awad, Asad Butt, Keith Curtis, Jonathan G. Fiscus, Afzal A. Godil, Yooyoung Lee, Andrew Delgado, Eliot Godard, Baptiste Chocot, Lukas Diduch, Jeffrey Liu, Yvette Graham, Gareth Jones, Georges Quenot
  
• Large Scale Organization and Inference of an Imagery Dataset for Public Safety by Jeffrey Liu, David Strohschein, Siddharth Samsi, Andrew Weinert
  
• Train and Deploy an Image Classifier for Disaster Response by Jianyu Mao, Kiana Harris, Nae-Rong Chang, Caleb Pennell, Yiming Ren
  
• TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains by George Awad, Asad A. Butt, Keith Curtis, Jonathan Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quenot
  
• Video Testing at the FirstNet Innovation and Test Lab Using a Public Safety Dataset by Chris Budny, Jeffrey Liu, Andrew Weinert
  

nuScenes

Tutorials

• nuImages devkit tutorial by Motional
  
  
• nuScenes CAN bus tutorial by Motional
  
  
• nuScenes devkit tutorial by Motional
  
  
• nuScenes lidarseg and panoptic tutorial by Motional
  
  
• nuScenes Map Expansion Tutorial by Motional
  
  
• nuScenes prediction tutorial by Motional
  
  

Tools & Applications

• nuScenes devkit by Motional
  

Publications

• nuScenes: A multimodal dataset for autonomous driving by Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, Oscar Beijbom
  
• Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking by Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, Abhinav Valada
  

NOAA National Water Model CONUS Retrospective Dataset

Tutorials

• Explore Repository of Tutorials on National Water Model V2.1 Retrospective Dataset in Zarr by James McCreight
  
• Explore the National Water Model V2.0 Retrospective in Zarr by Rich Signell
  
• Explore the National Water Model V2.1 Retrospective Dataset in Zarr by James McCreight, Ishita Srivastava, Rich Signell
  
• Processing the 250 TB NWM dataset with Coiled, Dask, and Xarray by Sarah Johnson (Coiled)
  

Publications

• NOAA's National Water Model: Advancing Operational Hydrology Through Continental-scale Modeling. by Brian Cosgrove, David Gochis, Trey Flowers, Aubrey Dugger, Fred Ogden, Tom Graziano, Ed Clark, et al; 2024
  
• On Strictly Enforced Mass Conservation Constraints for Modeling the Rainfall-Runoff Process by Jonathan M. Frame, Frederik Kratzert, Hoshin V. Gupta, Paul Ullrich and Grey S. Nearing
  
• Simulating storm surge and compound flooding events with a creek-to-ocean model: Importance of baroclinic effects by Fei Ye, et al.
  

nuPlan

Tutorials

• nuPlan Advacned Model Training by Motional
  
  
• nuPlan Framework by Motional
  
  
• nuPlan Planner Tutorial by Motional
  
  
• nuPlan Scenario Visualization by Motional
  
  
• nuPlan Sensor Data Tutorial by Motional
  
  

Tools & Applications

• nuPlan devkit by Motional
  

Publications

• NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles by Holger Caesar, Juraj Kabzan, Kok Seang Tan, Whye Kit Fong, Eric Wolff, Alex Lang, Luke Fletcher, Oscar Beijbom, Sammy Omari
  

New York City Taxi and Limousine Commission (TLC) Trip Record Data

Tutorials

• Build a Real-time Stream Processing Pipeline with Apache Flink on AWS by Steffen Hausmann
  
• Build and run streaming applications with Apache Flink and Amazon Kinesis Data Analytics for Java Applications by Steffen Hausmann
  
• Deep Dive on Flink & Spark on Amazon EMR by Keith Steward
  
• Exploring data with Python and Amazon S3 Select by Manav Sehgal
  
• Machine learning on distributed Dask using Amazon SageMaker and AWS Fargate by Ram Vittal
  
• Optimizing data for analysis with Amazon Athena and AWS Glue by Manav Sehgal
  

Overture Maps Foundation Open Map Data

Tutorials

• Accessing Overture Maps Data by Overture Maps Foundation
  
• Working With Overture Data: A Step-by-Step Guide by Jennings Anderson
  Amazon Athena

Publications

• Building Heights: From open USGS lidar to open Overture maps by Overture Maps Foundation
  
• Global Entity Reference System by Overture Maps Foundation
  
• Overture Data Schema by Overture Maps Foundation
  

Demand-Side Grid (dsgrid) Toolkit

Tutorials

• dsgrid Documentation by Elaine Hale
  
• dsgrid Project Standard Scenarios for the TEMPO Project by Elaine Hale
  
• Python API for Accessing dsgrid Data for the Electrification Futures Study (EFS) by Elaine Hale
  

Tools & Applications

• Demand-Side Grid Toolkit by Elaine Hale
  
• GitHub Repository for Working with the dsgrid Projects by Elaine Hale
  

Publications

• Highly Resolved Projections of Passenger Electric Vehicle Charging Loads for the Contiguous United States by Arthur Yip, Christopher Hoehne, Paige Jadun, Catherine Ledna, Elaine Hale, and Matteo Muratori
  
• The Demand-side Grid (dsgrid) Model Documentation by Elaine Hale, Henry Horsey, Brandon Johnson, et al.
  

Aurora Multi-Sensor Dataset

Tutorials

• Introduction to Visualizing Sensor Types (Jupyter notebook) by Andrei Bârsan (note: Aurora makes no representations as to the accuracy or functionality of the tutorial)
  Amazon SageMaker Studio Lab

Publications

• "Pit30M: A benchmark for global localization in the age of self-driving cars", in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 4477-4484) by Martinez, J., Doubov, S., Fan, J., Bârsan, I. A., Wang, S., Máttyus, G., Urtasun, R.
  

Ford Multi-AV Seasonal Dataset

Tutorials

• Autonomous Driving Data Service (ADDS) by Ajay Vohra, Amazon
  Amazon EKSAmazon RedshiftAmazon S3Amazon FSx
• Ford AV Dataset Tutorial by Ford Motor Company
  

NOAA Analysis of Record for Calibration (AORC) Dataset

Tutorials

• Explore the AORC 1.1 dataset in Zarr by Michael AuCoin
  

Publications

• The Office of Water Prediction's Analysis of Record for Calibration, version 1.1: Dataset description and precipitation evaluation (09 July 2023). J. Am. Water Resour. Assoc., 59 (6). 1246-1272. by Greg Fall, David Kitzmiller, Sandra Pavlovic, Ziya Zhang, Nathan Patrick, Michael St. Laurent, Carl Trypaluk, Wanru Wu, and Dennis Miller
  

MAN TruckScenes

Tutorials

• TruckScenes devkit tutorial by Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin
  
  

Tools & Applications

• PyPi package by Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin
  
• TruckScenes devkit by Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin
  

Publications

• MANTruckScenes: A multimodal dataset for autonomous trucking in diverse conditions by Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin, et al
  

NOAA National Water Model Short-Range Forecast

Publications

• Harmonic Oscillator Seasonal Trend (HOST) Model for Hydrological Drought Pattern Identification and Analysis by K. Raczyński, J. Dyer
  

NOAA's Coastal Ocean Reanalysis (CORA) Dataset

Tutorials

• Notebooks for working with CORA Data by John Ratcliff
  

Swiss Public Transport Stops

Tools & Applications

• Map Viewer by Swiss Geoportal
  

NASA SOTERIA Simulation Testbed Data

Tools & Applications

• Python Processing Code by Tyler Fettrow
  

Publications

• SOTERIA Simulation - Experimental Methods, Data Processing, and Data Quality by Tyler Fettrow, Chad Stephens, Lance Prinzel, Jon Holbrook, Sepher Bastami, Michael Stewart, Kathryn Ballard, Daniel Kiggins