A Sequential Framework for Urban Drone Delivery: Network Design, Vehicle Sizing, and Energy and Cost Assessment
A Sequential Framework for Urban Drone Delivery: Network Design, Vehicle Sizing, and Energy and Cost Assessment
This paper presents a sequential engineering framework for urban drone delivery that integrates hub location planning, route optimization, vehicle sizing, and cost assessment. Using district-level data from Seoul, the authors demonstrate how increasing the number of hubs reduces required vehicle range and takeoff mass while lowering monthly energy consumption, though operating costs per delivery rise due to higher hub-related expenses. The study highlights that minimizing vehicle mass and energy use does not automatically reduce total system operating costs.
The study applies a sequential optimization framework to urban drone delivery in Seoul, evaluating trade-offs between vehicle range, mass, hub count, and operating costs; results are based on district-level demand data and mixed-integer linear programming rather than live field trials.
Source: arXiv Robotics — research abstracts · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
operating cost per delivery
1.18
View original evidence
ating cost per delivery increases from USD 1.18 to USD 2.20 because of higher rent and labor costs at the hubs. Among the designs evaluated, range-matched vehicles achieve the lowest operating cost in the two- and four-hub networks; a longer-range vehicle is least costly in the three-hub network. Sensitivity analyses further examine the effects of delivery demand and operating assumptions. The results demonstrate tha
Open source S5operating cost per delivery
2.2
View original evidence
ating cost per delivery increases from USD 1.18 to USD 2.20 because of higher rent and labor costs at the hubs. Among the designs evaluated, range-matched vehicles achieve the lowest operating cost in the two- and four-hub networks; a longer-range vehicle is least costly in the three-hub network. Sensitivity analyses further examine the effects of delivery demand and operating assumptions. The results demonstrate tha
Open source S5
- paper: not_reported
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
cost. The framework is applied to district-level Seoul delivery data. Increasing the number of hubs from one to four reduces the required range from 30.6 to 21.9 km and vehicle takeoff mass from 8.12 to 6.12 kg. Despite a 21.5% increase in total flight distance, monthly flight energy consumption decreases by 13.1%, from 15.2 to 13.2 MWh. Battery replacement is the largest vehicle-related operating expense, while oper
Open source S4
ating cost per delivery increases from USD 1.18 to USD 2.20 because of higher rent and labor costs at the hubs. Among the designs evaluated, range-matched vehicles achieve the lowest operating cost in the two- and four-hub networks; a longer-range vehicle is least costly in the three-hub network. Sensitivity analyses further examine the effects of delivery demand and operating assumptions. The results demonstrate tha
Open source S5
Source：arXiv Robotics — research abstracts · arxiv.org