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

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

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.

Original language	English
Title of host publication	Technical Proceedings of the Amazon Last Mile Routing Research Challenge
Editors	Matthias Winkenbach, Steven Parks, Joseph Noszek
Publisher	MIT Libraries
Pages	XXX.1-XXX.9
Number of pages	9
Publication status	Published - 2 Sep 2021
Event	Amazon Last-Mile Routing Research Challenge - Duration: 15 Mar 2021 → 2 Jul 2021 https://routingchallenge.mit.edu/

Other

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

Access to Document

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

Cite this

@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 (eds), Technical Proceedings of the Amazon Last Mile Routing Research Challenge. MIT Libraries, pp. XXX.1-XXX.9, Amazon Last-Mile Routing Research Challenge, 15/03/21. <https://hdl.handle.net/1721.1/131235>

TSP with Learned Zone Preferences for Last-Mile Vehicle Dispatching. / Canoy, Rocsildes ; Mandi, Jayanta; Bucarey Lopez, Victor; Gamba, Emilio ; Mulamba, Maxime ; Guns, Tias.

Technical Proceedings of the Amazon Last Mile Routing Research Challenge. ed. / Matthias Winkenbach; Steven Parks; Joseph Noszek. MIT Libraries, 2021. p. XXX.1-XXX.9.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

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

Abstract

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