When Drones Take Public Transport: Towards Low Cost and Large Range Parcel Delivery

Hailong Huang; Andrey V. Savkin; Chao Huang

doi:10.1109/INDIN41052.2019.8972170

When Drones Take Public Transport: Towards Low Cost and Large Range Parcel Delivery

Hailong Huang, Andrey V. Savkin, Chao Huang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

Though drones have become a promising tool for parcel delivery, due to the limited capacity of the on-board battery, their flight range is constrained. To enlarge the coverage range, the paper proposes a novel method, in which a parcel delivery drone can "take" a public transportation vehicle and travel on its roof. We investigate how to make use of the public transportation network to route the drone between the depot and a customer. Considering the complexity of the public transportation network, its randomness and time-dependency, instead of off-line planning a global optimal path, an adaptive algorithm is developed. Simulation results are presented to demonstrate how the proposed approach works.

Original language	English
Title of host publication	IEEE 17th International Conference on Industrial Informatics
DOIs	https://doi.org/10.1109/INDIN41052.2019.8972170
Publication status	Published - Jul 2019
Externally published	Yes

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10.1109/INDIN41052.2019.8972170

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title = "When Drones Take Public Transport: Towards Low Cost and Large Range Parcel Delivery",

abstract = "Though drones have become a promising tool for parcel delivery, due to the limited capacity of the on-board battery, their flight range is constrained. To enlarge the coverage range, the paper proposes a novel method, in which a parcel delivery drone can {"}take{"} a public transportation vehicle and travel on its roof. We investigate how to make use of the public transportation network to route the drone between the depot and a customer. Considering the complexity of the public transportation network, its randomness and time-dependency, instead of off-line planning a global optimal path, an adaptive algorithm is developed. Simulation results are presented to demonstrate how the proposed approach works.",

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N2 - Though drones have become a promising tool for parcel delivery, due to the limited capacity of the on-board battery, their flight range is constrained. To enlarge the coverage range, the paper proposes a novel method, in which a parcel delivery drone can "take" a public transportation vehicle and travel on its roof. We investigate how to make use of the public transportation network to route the drone between the depot and a customer. Considering the complexity of the public transportation network, its randomness and time-dependency, instead of off-line planning a global optimal path, an adaptive algorithm is developed. Simulation results are presented to demonstrate how the proposed approach works.

AB - Though drones have become a promising tool for parcel delivery, due to the limited capacity of the on-board battery, their flight range is constrained. To enlarge the coverage range, the paper proposes a novel method, in which a parcel delivery drone can "take" a public transportation vehicle and travel on its roof. We investigate how to make use of the public transportation network to route the drone between the depot and a customer. Considering the complexity of the public transportation network, its randomness and time-dependency, instead of off-line planning a global optimal path, an adaptive algorithm is developed. Simulation results are presented to demonstrate how the proposed approach works.

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M3 - Conference article published in proceeding or book

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When Drones Take Public Transport: Towards Low Cost and Large Range Parcel Delivery

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