Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/152709
Title: | A preliminary path planning algorithm for the last-mile delivery by an unmanned aerial vehicle in urban town areas | Authors: | Zhang, Mingcheng Low, Kin Huat |
Keywords: | Engineering::Aeronautical engineering | Issue Date: | 2021 | Source: | Zhang, M. & Low, K. H. (2021). A preliminary path planning algorithm for the last-mile delivery by an unmanned aerial vehicle in urban town areas. AIAA Aviation 2021 Forum, 1-14. https://dx.doi.org/10.2514/6.2021-2379 | Conference: | AIAA Aviation 2021 Forum | Abstract: | The applications by means of drones or unmanned aerial vehicles (UAVs) are increasing in areas from military to industry, commercial, and civil. Examples of applications include surveillance, photography, agriculture, and parcel delivery. Increasing applications results in more people will experience drones in their daily lives. However, not all people are comfortable with the drones around them, this is especially true in terms of urban last mile (LM) drone delivery, people tend to get annoyed when noisy drones pass by their window. This paper presents a novel 3D path planning algorithm that is applicable to the last mile (LM) delivery in an urban environment. The algorithm is called the modified Jump Point Search (MJPS) algorithm. It is developed based on the original Jump Point Search (JPS) and combined with the A* search algorithm. The result of the MJPS algorithm shows an obstacle-free path with reduced residences’ perceived annoyance due to drone operation noise and operational risk. It can be used as a way to increase public acceptance for drone operations in close vicinity of their neighborhood. | URI: | https://hdl.handle.net/10356/152709 | ISBN: | 978-1-62410-610-1 | DOI: | 10.2514/6.2021-2379 | Schools: | School of Mechanical and Aerospace Engineering | Research Centres: | Air Traffic Management Research Institute | Rights: | © 2021 by Nanyang Technological University. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | ATMRI Conference Papers MAE Conference Papers |
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