Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Theoretical and Natural Science
Vol. 25, 20 December 2023
Open
Access | Article
Optimal paths for UAV multi-express full delivery in 3D modeling
* Author to whom correspondence should be addressed.
Abstract
The use of drones in logistics is steadily becoming more common as drone technology advances. As a result, logistics path planning has become a viable research topic. The majority of previous research has concentrated on low-load vehicle-borne UAVs. DJI recently produced a high payload civilian delivery UAV with a maximum capacity of 30 to 40 kg, paving the path for high payload UAVs and providing the criteria for this research. The goal of this research is to increase the efficiency of UAV delivery while also reducing energy consumption, as well as to investigate the path planning problem for large load UAVs in batches. Prior to choosing the ACO method to determine the best route for a single batch, the genetic algorithm is used to achieve the entire load for express delivery in batches. After this, the whole path is determined and supported. The output of the program is the correlation between the number of iterations and the single optimal route, which is then added to produce the overall path. After showing this, we infer that the sum of single ideal paths is the best total path, which maximizes efficiency and saves energy. The significance of this research is to provide some directions for thinking and help for the research of UAV logistics, and we hope to further develop UAV logistics technology to some extent under the premise of energy saving and time saving.
Keywords
UAVs, Delivery, High Load, Optimal Paths, Logistics Technology
References
1. Aderhold J, Davydov V Yu, Fedler F, Klausing H, Mistele D, Rotter T, Semchinova O, Stemmer J and Graul J 2001 J. Cryst. Growth 222 701
2. Hossein Motlagh N, Taleb T, and Arouk O 2016 Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives. IEEE Internet of Things Journal 3(6) 899–922
3. Liu W, Liang Y, Bao X, Qin J and Lim M K 2020 China’s logistics development trends in the post COVID-19 era. International Journal of Logistics Research and Applications 25(6) 1-12
4. Xu Z et al. 2022 Cyber security intelligence and analytics : the 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022) Volume 2 (Berlin: Springer) 391-397
5. Mohsan S A H, Zahra Q ul A, Khan M A, Alsharif M H, Elhaty I A and Jahid A 2022 Role of Drone Technology Helping in Alleviating the COVID-19 Pandemic. Micromachines 13(10) 1593
6. Frachtenberg E 2019 Practical Drone Delivery. Computer 52(12) 53–57
7. Deng X, Guan M, Ma Y, Yang X and Xiang T 2022 Vehicle-Assisted UAV Delivery Scheme Considering Energy Consumption for Instant Delivery. Sensors 22(5) 2045
8. Mirjalili S 2019 Evolutionary algorithms and neural networks : theory and applications (Berlin:Springer)
9. Blum C 2005 Ant colony optimization: Introduction and recent trends. Physics of Life Reviews 2(4) 353–373.
10. Wang L, Kan J, Guo J, and Wang C 2019 3D Path Planning for the Ground Robot with Improved Ant Colony Optimization. Sensors 19(4) 815.
11. Guo Z, Guo P, Zhao W, Wu J, Xiao H, Liang Q and Zou Q 2017 “Last Kilometer”Distribution Strategy Research of the County Logistics. Open Journal of Social Sciences 05(05) 251–262.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).
- Volume Title
- Proceedings of the 3rd International Conference on Computing Innovation and Applied Physics
- ISBN (Print)
- 978-1-83558-233-6
- ISBN (Online)
- 978-1-83558-234-3
- Published Date
- 20 December 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/25/20240941
- Copyright
- 20 December 2023
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited