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Mao Nishira, Satoshi Ito, Hiroki Nishikawa, Xiangbo Kong and Hiroyuki Tomiyama
Delivery drones have been attracting attention as a means of solving recent logistics issues, and many companies are focusing on their practical applications. Many research studies on delivery drones have been active for several decades. Among them, exte...
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Avishkar Seth, Alice James, Endrowednes Kuantama, Subhas Mukhopadhyay and Richard Han
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Ying-Ying Weng, Rong-Yu Wu and Yu-Jun Zheng
In the traditional express delivery sector, trucks are the most available and efficient transportation mode in urban areas. However, due to the pressures of traffic congestion and air pollution problems, many cities have implemented strict measures to re...
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Roberto Montemanni and Mauro Dell?Amico
Drones are currently seen as a viable way of improving the distribution of parcels in urban and rural environments, while working in coordination with traditional vehicles, such as trucks. In this paper, we consider the parallel drone scheduling travelin...
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Konstantinos Kotis and Andreas Soularidis
Unmanned aerial vehicles (UAVs), also known as drones, are important for several application domains, such as the military, agriculture, cultural heritage documentation, surveillance, and the delivery of goods/products/services. A drone?s trajectory can ...
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Shao Xuan Seah and Sutthiphong Srigrarom
This paper explores the use of deep reinforcement learning in solving the multi-agent aircraft traffic planning (individual paths) and collision avoidance problem for a multiple UAS, such as that for a cargo drone network. Specifically, the Deep Q-Networ...
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Bao Tong, Jianwei Wang, Xue Wang, Feihao Zhou, Xinhua Mao and Wenlong Zheng
The optimal delivery route problem for truck?drone delivery is defined as a traveling salesman problem with drone (TSP-D), which has been studied in a wide range of previous literature. However, most of the existing studies ignore truck waiting time at r...
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Alejandro Valencia-Arias, Paula Andrea Rodríguez-Correa, Juan Camilo Patiño-Vanegas, Martha Benjumea-Arias, Jhony De La Cruz-Vargas and Gustavo Moreno-López
This study aims to identify the factors associated with the adoption of drone delivery in Medellín, Colombia, in the context of the COVID-19 pandemic. For that purpose, it implemented the Diffusion of Innovation (DOI) theory and the Technology Acceptance...
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Rohana Sham, Ching Sin Siau, Steven Tan, Dawn Chii Kiu, Hasminulhadi Sabhi, Hui Zhu Thew, Ganeshsree Selvachandran, Shio Gai Quek, Noorsiah Ahmad and Mohd Hanif Mohd Ramli
Rural areas are often difficult to access reliably with medicine and vaccines. This study aimed to examine rural health care workers? attitude towards drone delivery for medicine and vaccines and the factors that influenced it. Health care workers from f...
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Tamás Bányai
Supply chain solutions are based on first-mile and last-mile deliveries; their efficiency significantly influences the total cost of operation. Drone technologies make it possible to improve first-mile and last-mile operations, but the design and optimiz...
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