Designing Mixed-Fleet of Electric and Autonomous Vehicles for Home Grocery Delivery Operation: An Agent-Based Modelling Study

Dhanan Sarwo Utomo; Adam Gripton; Philip Greening

doi:10.1109/WSC57314.2022.10015316

Designing Mixed-Fleet of Electric and Autonomous Vehicles for Home Grocery Delivery Operation: An Agent-Based Modelling Study

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

Abstract

This paper proposes a hypothetical agent-based model of home grocery delivery operation using electric and autonomous vehicles. In the last-mile delivery context, agent-based modelling studies that consider the use of autonomous vehicles is lacking. The model in this paper can produce a mixed-fleet design that can serve a set of synthetic orders punctually. Through extensive computer experimentation, firstly, we investigate how infrastructure setup affects the fleet design. Secondly, we highlight the benefits of mixed-fleet over homogeneous fleet design. And thirdly, we evaluate the benefits of using autonomous vehicles in last-mile delivery operation.

Original language	English
Title of host publication	Proceedings of the 2022 Winter Simulation Conference
Publisher	IEEE
Pages	1401-1412
Number of pages	12
ISBN (Electronic)	9781665476614
DOIs	https://doi.org/10.1109/WSC57314.2022.10015316
Publication status	Published - 23 Jan 2023

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10.1109/WSC57314.2022.10015316

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@inproceedings{a3b88a3b8b304e7f9bd4319b51209936,

title = "Designing Mixed-Fleet of Electric and Autonomous Vehicles for Home Grocery Delivery Operation: An Agent-Based Modelling Study",

abstract = "This paper proposes a hypothetical agent-based model of home grocery delivery operation using electric and autonomous vehicles. In the last-mile delivery context, agent-based modelling studies that consider the use of autonomous vehicles is lacking. The model in this paper can produce a mixed-fleet design that can serve a set of synthetic orders punctually. Through extensive computer experimentation, firstly, we investigate how infrastructure setup affects the fleet design. Secondly, we highlight the benefits of mixed-fleet over homogeneous fleet design. And thirdly, we evaluate the benefits of using autonomous vehicles in last-mile delivery operation.",

author = "Utomo, \{Dhanan Sarwo\} and Adam Gripton and Philip Greening",

note = "Funding Information: This study is supported by Innovate UK. Project number 34494 ”Real-world Demonstrators Wireless Charging in Micro-Fulfilment Centres for Last Mile Delivery”. Publisher Copyright: {\textcopyright} 2022 IEEE.",

year = "2023",

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doi = "10.1109/WSC57314.2022.10015316",

language = "English",

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booktitle = "Proceedings of the 2022 Winter Simulation Conference",

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AU - Utomo, Dhanan Sarwo

AU - Gripton, Adam

AU - Greening, Philip

N1 - Funding Information: This study is supported by Innovate UK. Project number 34494 ”Real-world Demonstrators Wireless Charging in Micro-Fulfilment Centres for Last Mile Delivery”. Publisher Copyright: © 2022 IEEE.

PY - 2023/1/23

Y1 - 2023/1/23

N2 - This paper proposes a hypothetical agent-based model of home grocery delivery operation using electric and autonomous vehicles. In the last-mile delivery context, agent-based modelling studies that consider the use of autonomous vehicles is lacking. The model in this paper can produce a mixed-fleet design that can serve a set of synthetic orders punctually. Through extensive computer experimentation, firstly, we investigate how infrastructure setup affects the fleet design. Secondly, we highlight the benefits of mixed-fleet over homogeneous fleet design. And thirdly, we evaluate the benefits of using autonomous vehicles in last-mile delivery operation.

AB - This paper proposes a hypothetical agent-based model of home grocery delivery operation using electric and autonomous vehicles. In the last-mile delivery context, agent-based modelling studies that consider the use of autonomous vehicles is lacking. The model in this paper can produce a mixed-fleet design that can serve a set of synthetic orders punctually. Through extensive computer experimentation, firstly, we investigate how infrastructure setup affects the fleet design. Secondly, we highlight the benefits of mixed-fleet over homogeneous fleet design. And thirdly, we evaluate the benefits of using autonomous vehicles in last-mile delivery operation.

UR - https://www.scopus.com/pages/publications/85147450383

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DO - 10.1109/WSC57314.2022.10015316

M3 - Conference contribution

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EP - 1412

BT - Proceedings of the 2022 Winter Simulation Conference

PB - IEEE

ER -

Designing Mixed-Fleet of Electric and Autonomous Vehicles for Home Grocery Delivery Operation: An Agent-Based Modelling Study

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