本篇論文研究無人機輔助卡車在鄉村地區有效率地運送包裹， 由於無人機有載重限制，因此只能運送不超過載重限制的包裹，其他包裹則由卡車運送。 另外，因為無人機的電池容量有限，所以它無法一次運送所有的包裹。它將從卡車上起飛運送包裹，送完包裹後，與卡車會合，裝載新包裹並更換電池。 為了無人機安全考量，當無人機與卡車會合時，卡車必須在會合點等待無人機降落。 我們的目標是花最少時間來送完所有包裹運送。 我們提出了一個三階段算法解決這個問題。 首先，我們會先建立一條運送所有只能由卡車運送的包裹。 接下來，將只能由無人機服務的包裹做分群。 最後，為每一個包裹群在卡車路線中找到無人機的起飛站和降落站。 實驗結果顯示，我們提出的演算法在最小化任務完成時間方面優於其他演算法。

This thesis studies how UAVs can efficiently deliver parcels in rural areas with trucks. Due to the limited payload of the UAVs, they can only serve the parcels under the payload limitation, and the other parcels are delivered by truck. Furthermore, the battery capacities of the UAVs are limited, and they cannot deliver all parcels at once. The UAV will take off from the truck to deliver parcels and then meet with the truck to load new parcels and change the new battery for the next trip. For UAV safety considerations, the truck must wait at the rendezvous node for the UAV to land. Our thesis aims to deliver all the parcels as quickly as possible. We propose a three-stage algorithm to solve this problem. First, a truck route is obtained by routing parcels that can be delivered by truck. Next, group the parcels into several clusters that the UAV can serve. Third, find the UAV take-off stop and landing stop from the truck route for each cluster. The simulation results show that our proposed algorithm outperforms the candidate algorithms in minimizing task completion time.

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