Routing of Heterogeneous Fleets for Flash Deliveries via Vehicle Group Assignment

Maximilian  Kronmüller; Andres Fielbaum; Javier Alonso-Mora

doi:10.1109/ITSC55140.2022.9922062

Routing of Heterogeneous Fleets for Flash Deliveries via Vehicle Group Assignment

Maximilian Kronmüller^*, Andres Fielbaum, Javier Alonso-Mora

^*Corresponding author for this work

Learning & Autonomous Control

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

17 Downloads (Pure)

Abstract

This paper presents a novel approach to route heterogeneous fleets for flash delivery operations. Flash deliveries offer to serve customers' wishes in minutes. We investigate a scenario that allows to pick up orders at multiple depots with a heterogeneous vehicle fleet leveraging different modes of transportation. We propose the Heterogeneous Vehicle Group Assignment (HVGA) method, which, given a problem state, identifies potential pick-up locations, calculates potential trips for all modes of transportation and last chooses from the set of potential trips. Experiments to analyze the proposed method are executed using a fleet featuring two modes of transportation, trucks and drones. We compare to a state-of-the-art method. Results show that HVGA is able to serve more orders while requiring less total traveled distance. Further, the effects of the fleet size and fleet composition between drones and trucks are examined by simulating three hours of a flash delivery operation in the city center of Amsterdam.

Original language	English
Title of host publication	Proceedings of the IEEE 25th International Conference on Intelligent Transportation Systems (ITSC 2022)
Publisher	IEEE
Pages	2286-2291
ISBN (Electronic)	978-1-6654-6880-0
ISBN (Print)	978-1-6654-6881-7
DOIs	https://doi.org/10.1109/ITSC55140.2022.9922062
Publication status	Published - 2022
Event	2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) - Macau, China Duration: 8 Oct 2022 → 12 Oct 2022 Conference number: 25th

Conference

Conference	2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Country/Territory	China
City	Macau
Period	8/10/22 → 12/10/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Costs
Urban areas
Routing
Delays
Drones
Vehicles

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ITSC55140.2022.9922062

Routing_of_Heterogeneous_Fleets_for_Flash_Deliveries_via_Vehicle_Group_AssignmentFinal published version, 1.46 MB

Cite this

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title = "Routing of Heterogeneous Fleets for Flash Deliveries via Vehicle Group Assignment",

abstract = "This paper presents a novel approach to route heterogeneous fleets for flash delivery operations. Flash deliveries offer to serve customers' wishes in minutes. We investigate a scenario that allows to pick up orders at multiple depots with a heterogeneous vehicle fleet leveraging different modes of transportation. We propose the Heterogeneous Vehicle Group Assignment (HVGA) method, which, given a problem state, identifies potential pick-up locations, calculates potential trips for all modes of transportation and last chooses from the set of potential trips. Experiments to analyze the proposed method are executed using a fleet featuring two modes of transportation, trucks and drones. We compare to a state-of-the-art method. Results show that HVGA is able to serve more orders while requiring less total traveled distance. Further, the effects of the fleet size and fleet composition between drones and trucks are examined by simulating three hours of a flash delivery operation in the city center of Amsterdam.",

keywords = "Costs, Urban areas, Routing, Delays, Drones, Vehicles",

author = "Maximilian Kronm{\"u}ller and Andres Fielbaum and Javier Alonso-Mora",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) ; Conference date: 08-10-2022 Through 12-10-2022",

year = "2022",

doi = "10.1109/ITSC55140.2022.9922062",

language = "English",

isbn = "978-1-6654-6881-7",

pages = "2286--2291",

booktitle = "Proceedings of the IEEE 25th International Conference on Intelligent Transportation Systems (ITSC 2022)",

publisher = "IEEE",

address = "United States",

}

Kronmüller, M, Fielbaum, A & Alonso-Mora, J 2022, Routing of Heterogeneous Fleets for Flash Deliveries via Vehicle Group Assignment. in Proceedings of the IEEE 25th International Conference on Intelligent Transportation Systems (ITSC 2022). IEEE, pp. 2286-2291, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Macau, China, 8/10/22. https://doi.org/10.1109/ITSC55140.2022.9922062

Routing of Heterogeneous Fleets for Flash Deliveries via Vehicle Group Assignment. / Kronmüller, Maximilian ; Fielbaum, Andres; Alonso-Mora, Javier.
Proceedings of the IEEE 25th International Conference on Intelligent Transportation Systems (ITSC 2022). IEEE, 2022. p. 2286-2291.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Fielbaum, Andres

AU - Alonso-Mora, Javier

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N2 - This paper presents a novel approach to route heterogeneous fleets for flash delivery operations. Flash deliveries offer to serve customers' wishes in minutes. We investigate a scenario that allows to pick up orders at multiple depots with a heterogeneous vehicle fleet leveraging different modes of transportation. We propose the Heterogeneous Vehicle Group Assignment (HVGA) method, which, given a problem state, identifies potential pick-up locations, calculates potential trips for all modes of transportation and last chooses from the set of potential trips. Experiments to analyze the proposed method are executed using a fleet featuring two modes of transportation, trucks and drones. We compare to a state-of-the-art method. Results show that HVGA is able to serve more orders while requiring less total traveled distance. Further, the effects of the fleet size and fleet composition between drones and trucks are examined by simulating three hours of a flash delivery operation in the city center of Amsterdam.

AB - This paper presents a novel approach to route heterogeneous fleets for flash delivery operations. Flash deliveries offer to serve customers' wishes in minutes. We investigate a scenario that allows to pick up orders at multiple depots with a heterogeneous vehicle fleet leveraging different modes of transportation. We propose the Heterogeneous Vehicle Group Assignment (HVGA) method, which, given a problem state, identifies potential pick-up locations, calculates potential trips for all modes of transportation and last chooses from the set of potential trips. Experiments to analyze the proposed method are executed using a fleet featuring two modes of transportation, trucks and drones. We compare to a state-of-the-art method. Results show that HVGA is able to serve more orders while requiring less total traveled distance. Further, the effects of the fleet size and fleet composition between drones and trucks are examined by simulating three hours of a flash delivery operation in the city center of Amsterdam.

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KW - Routing

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KW - Drones

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Routing of Heterogeneous Fleets for Flash Deliveries via Vehicle Group Assignment

Abstract

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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