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Tomé Sicuaio, Pengxiang Zhao, Petter Pilesjo, Andrey Shindyapin and Ali Mansourian
Land use allocation (LUA) is of prime importance for the development of urban sustainability and resilience. Since the process of planning and managing land use requires balancing different conflicting social, economic, and environmental factors, it has ...
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Junlin Lou, Burak Yuksek, Gokhan Inalhan and Antonios Tsourdos
In this study, we consider the problem of motion planning for urban air mobility applications to generate a minimal snap trajectory and trajectory that cost minimal time to reach a goal location in the presence of dynamic geo-fences and uncertainties in ...
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Jianfeng Wang, Gaowei Jia, Zheng Guo and Zhongxi Hou
Heterogeneous multi-UAV systems offer distinct advantages through their complementary and coordinated use of their diverse capabilities. However, this complexity poses significant challenges in task planning, particularly in considering temporal constrai...
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Shuang Che, Yan Chen, Longda Wang and Chuanfang Xu
This work discusses the electric vehicle (EV) ordered charging planning (OCP) optimization problem. To address this issue, an improved dual-population genetic moth?flame optimization (IDPGMFO) is proposed. Specifically, to obtain an appreciative solution...
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Jih-Jeng Huang and Chin-Yi Chen
Cooperative alternatives need complex multi-criteria decision-making (MCDM) consideration, especially in resource allocation, where the alternatives exhibit interdependent relationships. Traditional MCDM methods like the Analytic Hierarchy Process (AHP) ...
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Anqing Wang, Longwei Li, Haoliang Wang, Bing Han and Zhouhua Peng
In this paper, a swarm trajectory-planning method is proposed for multiple autonomous surface vehicles (ASVs) in an unknown and obstacle-rich environment. Specifically, based on the point cloud information of the surrounding environment obtained from loc...
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Kimoon Lee, Dongjin Kim, Daewon Chung and Seonho Lee
This study explores optimizing Synthetic Aperture Radar (SAR) satellite constellation scheduling for multi-imaging missions in densely targeted areas using an in-house-developed Modified Dynamic Programming (MDP) algorithm. By employing Mixed-Integer Lin...
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Zitao Du, Wenbo Yang, Yuna Yin, Xinwei Ma and Jiacheng Gong
When new rail stations or lines are planned, long-term planning for decades to come is required. The short-term passenger flow prediction is no longer of practical significance, as it only takes a few factors that affect passenger flow into consideration...
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Shuo Liu, Bohan Feng, Youyi Bi and Dan Yu
Mobile robots play an important role in smart factories, though efficient task assignment and path planning for these robots still present challenges. In this paper, we propose an integrated task- and path-planning approach with precedence constrains in ...
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Antreas Kantaros, Florian Ion Tiberiu Petrescu, Hamed Abdoli, Olaf Diegel, Simon Chan, Mihaiela Iliescu, Theodore Ganetsos, Iulian Sorin Munteanu and Liviu Marian Ungureanu
Additive manufacturing has been widely used in various industries, including the healthcare sector. Over the last few decades, AM has been playing an important role in the medical field in different areas, including surgical planning, implants, and educa...
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