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

被引：0

作者：

Gao, Junhui ^{[1
]}

Pan, Yan ^{[2
]}

Li, Zhigang ^{[1
]}

Han, Qingye ^{[3
]}

机构：

[1] Northwestern Polytech Univ, Sch Comp Sci, Xian, Peoples R China

[2] Natl Univ Def Technol, Sch Syst Engn, Changsha, Hunan, Peoples R China

[3] Chongqing Univ, Sch Management Sci & Real Estate, Chongqing, Peoples R China

来源：

2022 IEEE 30TH INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS (ICNP 2022) | 2022年

基金：

中国国家自然科学基金;

关键词：

UAV; Sharing; Delivery; Surveillance; Response Delay; Response Probability;

D O I：

10.1109/ICNP55882.2022.9940417

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：2