Poster: Data-Driven Studies of UAV-sharing in Parcel Delivery and Surveillance

Parcel delivery and Point of Interest (PoI) surveillance are two fundaches were conducted for an isolated application, separately. UAV-sharing in the two heterogeneous applications bears significant but unexplored benefit potentials, similar to current sharingmental applications of Unmanned Aerial V...

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Bibliographic Details
Published in2022 IEEE 30th International Conference on Network Protocols (ICNP) pp. 1 - 2
Main Authors Gao, Junhui, Pan, Yan, Li, Zhigang, Han, Qingye
Format Conference Proceeding
LanguageEnglish
Published IEEE 30.10.2022
Subjects
Accidents
Autonomous aerial vehicles
Delivery
Protocols
Public transportation
Response Delay
Response Probability
Sharing
Surveillance
UAV
Urban areas
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Summary:Parcel delivery and Point of Interest (PoI) surveillance are two fundaches were conducted for an isolated application, separately. UAV-sharing in the two heterogeneous applications bears significant but unexplored benefit potentials, similar to current sharingmental applications of Unmanned Aerial Vehicles (UAVs) in city. Traditional resear economy such as taxi sharing. However, the inconsistency of the two heterogeneous applications in both temporal and spatial domains would impact the sharing performance. This work illustrates the first quantified studies of the UAV-sharing performance in the two heterogeneous applications. Specifically, some critical constraints of the UAV-sharing process are first discussed. Thereafter, a data-driven evaluation is conducted to understand the sharing process of the UAVs with a delivery dataset and a traffic accident dataset obtained from Shanghai city. Some inspiring results verify the particularly excellent UAV-sharing performance in the two heterogeneous applications.
ISSN:2643-3303
DOI:10.1109/ICNP55882.2022.9940417