Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
3-2025
Abstract
Unmanned aerial vehicles (UAVs), also called drones, are gaining popularity as an alternative delivery mode due to their faster delivery speed and reduced labor costs. Several companies, especially e-commerce giants, are conducting pilot projects that use drones to deliver fast food and groceries. In 2021, for example, Walmart partnered with Zipline in the United States to provide delivery services for areas near Walmart stores in Arkansas. In China, Meituan drone delivery services have been launched in Shenzhen and have conducted trial food delivery that cover more than 8,000 households.
Keywords
Drone delivery, urban low-altitude economy, network optimization, distributionally robust optimization, demand uncertainty
Discipline
Artificial Intelligence and Robotics | OS and Networks
Research Areas
Intelligent Systems and Optimization
Areas of Excellence
Sustainability
Publication
Proceedings of the 12th Triennial Symposium on Transportation Analysis (TRISTAN XII), Okinawa, Japan, 2025 June 22-27
First Page
1
Last Page
4
City or Country
Singapore
Citation
ZENG, Wenjia; JIANG Ruiwei; YANG, Hai; and WANG, Hai.
Drone delivery network design with uncertainties. (2025). Proceedings of the 12th Triennial Symposium on Transportation Analysis (TRISTAN XII), Okinawa, Japan, 2025 June 22-27. 1-4.
Available at: https://ink.library.smu.edu.sg/sis_research/10770
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://tristan2025.org/proceedings/TRISTAN2025_ExtendedAbstract_407.pdf