TSP with Learned Zone Preferences for Last-Mile Vehicle Dispatching

Rocsildes Canoy; Jayanta Mandi; Victor Bucarey Lopez; Emilio Gamba; Maxime Mulamba; Tias Guns

TSP with Learned Zone Preferences for Last-Mile Vehicle Dispatching

Rocsildes Canoy, Jayanta Mandi, Victor Bucarey Lopez, Emilio Gamba, Maxime Mulamba, Tias Guns

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In the spring of 2021, Amazon hosted the Last Mile Routing Research Challenge with support from the MIT Center for Transportation & Logistics. The goal of the challenge was to encourage participants to develop innovative approaches to produce solutions to a real-world route sequencing problem, leveraging a large set of real operational data released by Amazon. All finalists were asked to submit short technical papers to document their methodological approach and its expected performance. This proceedings document provides a consolidated overview of the papers submitted by the participants.

Originele taal-2	English
Titel	Technical Proceedings of the Amazon Last Mile Routing Research Challenge
Redacteuren	Matthias Winkenbach, Steven Parks, Joseph Noszek
Uitgeverij	MIT Libraries
Pagina's	XXX.1-XXX.9
Aantal pagina's	9
Status	Published - 2 sep. 2021
Evenement	Amazon Last-Mile Routing Research Challenge - Duur: 15 mrt. 2021 → 2 jul. 2021 https://routingchallenge.mit.edu/

Other

Other	Amazon Last-Mile Routing Research Challenge
Periode	15/03/21 → 2/07/21
Internet adres	https://routingchallenge.mit.edu/

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https://hdl.handle.net/1721.1/131235

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@inproceedings{fcbc115a3bf94426ba6c333a15a0ea21,

title = "TSP with Learned Zone Preferences for Last-Mile Vehicle Dispatching",

abstract = "In the spring of 2021, Amazon hosted the Last Mile Routing Research Challenge with support from the MIT Center for Transportation & Logistics. The goal of the challenge was to encourage participants to develop innovative approaches to produce solutions to a real-world route sequencing problem, leveraging a large set of real operational data released by Amazon. All finalists were asked to submit short technical papers to document their methodological approach and its expected performance. This proceedings document provides a consolidated overview of the papers submitted by the participants. ",

author = "Rocsildes Canoy and Jayanta Mandi and {Bucarey Lopez}, Victor and Emilio Gamba and Maxime Mulamba and Tias Guns",

year = "2021",

month = sep,

day = "2",

language = "English",

pages = "XXX.1--XXX.9",

editor = "Matthias Winkenbach and Steven Parks and Joseph Noszek",

booktitle = "Technical Proceedings of the Amazon Last Mile Routing Research Challenge",

publisher = "MIT Libraries",

note = "Amazon Last-Mile Routing Research Challenge ; Conference date: 15-03-2021 Through 02-07-2021",

url = "https://routingchallenge.mit.edu/",

}

Canoy, R, Mandi, J, Bucarey Lopez, V, Gamba, E, Mulamba, M & Guns, T 2021, TSP with Learned Zone Preferences for Last-Mile Vehicle Dispatching. in M Winkenbach, S Parks & J Noszek (uitgave), Technical Proceedings of the Amazon Last Mile Routing Research Challenge. MIT Libraries, blz. XXX.1-XXX.9, Amazon Last-Mile Routing Research Challenge, 15/03/21. <https://hdl.handle.net/1721.1/131235>

TY - GEN

T1 - TSP with Learned Zone Preferences for Last-Mile Vehicle Dispatching

AU - Canoy, Rocsildes

AU - Mandi, Jayanta

AU - Bucarey Lopez, Victor

AU - Gamba, Emilio

AU - Mulamba, Maxime

AU - Guns, Tias

PY - 2021/9/2

Y1 - 2021/9/2

N2 - In the spring of 2021, Amazon hosted the Last Mile Routing Research Challenge with support from the MIT Center for Transportation & Logistics. The goal of the challenge was to encourage participants to develop innovative approaches to produce solutions to a real-world route sequencing problem, leveraging a large set of real operational data released by Amazon. All finalists were asked to submit short technical papers to document their methodological approach and its expected performance. This proceedings document provides a consolidated overview of the papers submitted by the participants.

AB - In the spring of 2021, Amazon hosted the Last Mile Routing Research Challenge with support from the MIT Center for Transportation & Logistics. The goal of the challenge was to encourage participants to develop innovative approaches to produce solutions to a real-world route sequencing problem, leveraging a large set of real operational data released by Amazon. All finalists were asked to submit short technical papers to document their methodological approach and its expected performance. This proceedings document provides a consolidated overview of the papers submitted by the participants.

M3 - Conference paper

SP - XXX.1-XXX.9

BT - Technical Proceedings of the Amazon Last Mile Routing Research Challenge

A2 - Winkenbach, Matthias

A2 - Parks, Steven

A2 - Noszek, Joseph

PB - MIT Libraries

T2 - Amazon Last-Mile Routing Research Challenge

Y2 - 15 March 2021 through 2 July 2021

ER -

TSP with Learned Zone Preferences for Last-Mile Vehicle Dispatching

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