TY - GEN
T1 - Designing Mixed-Fleet of Electric and Autonomous Vehicles for Home Grocery Delivery Operation: An Agent-Based Modelling Study
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 - http://www.scopus.com/inward/record.url?scp=85147450383&partnerID=8YFLogxK
U2 - 10.1109/WSC57314.2022.10015316
DO - 10.1109/WSC57314.2022.10015316
M3 - Conference contribution
SP - 1401
EP - 1412
BT - Proceedings of the 2022 Winter Simulation Conference
PB - IEEE
ER -