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Serio Agriesti, Claudio Roncoli and Bat-hen Nahmias-Biran
Agent-based modeling has the potential to deal with the ever-growing complexity of transport systems, including future disrupting mobility technologies and services, such as automated driving, Mobility as a Service, and micromobility. Although different ...
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Weihua Li, Yongxi Lyu, Sifan Dai, Huakun Chen, Jingping Shi and Yongfeng Li
With recent advances in airborne weapons, air combat tends to occur in the form of beyond-visual-range (BVR) combat and multi-aircraft cooperation. Target assignment is critical in multi-aircraft BVR air combat decision-making. Most previous research on ...
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Wenfei Wang, Maolong Lv, Le Ru, Bo Lu, Shiguang Hu and Xinlong Chang
Unmanned aerial vehicles (UAVs) can be used in swarms to achieve multiple tasks cooperatively. Multi-UAV and multi-target cooperative task assignments are difficult. To solve the problem of unbalanced, phased, cooperative assignment between UAVs and task...
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Zhu Wang, Junfeng Cheng and Hongtao Hu
Port operations have been suffering from hybrid uncertainty, leading to various disruptions in efficiency and tenacity. However, these essential uncertain factors are often considered separately in literature during berth and quay crane assignments, lead...
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Zhuoming Du, Junfeng Zhang, Zhao Ma and Jiaxin Xu
Collaboration between terminal airspace and airport surface operation shows an increasing significance for the best efficiency of both parts of the air traffic management domain. Runways play a critical role in connecting the two parts for departure and ...
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Zilin Zhao, Zhi Cai, Mengmeng Chang and Zhiming Ding
Unconventional events exacerbate the imbalance between regional transportation demand and limited road network resources. Scientific and efficient path planning serves as the foundation for rapidly restoring equilibrium to the road network. In real large...
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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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Weiwen Zhou, Elise Miller-Hooks and Sagar Sahasrabudhe
Increasing popularity in gig employment has enabled the use of an at-will workforce of self-contracted couriers to participate in many service industries serving urban areas. This gig workforce has come to play a particularly important role in the growin...
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Ludan Zhang, Xueman Zuo, Ziyi Wu, Cheng Chen, Zibao Pan and Xisheng Hu
The phenomenon of polarized development among regional cities has sparked extensive contemplation and indicated a need for research on multi-source regional networks. However, such research faces two obstacles: the absence of quantitative measurement of ...
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Vitor Anes, António Abreu, Ana Dias and João Calado
Due to constant change in the marketplace, it can be difficult for companies to secure the material, human, and technological resources necessary for competitive innovation activities. In this sense, and to overcome these constraints, the open innovation...
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Xinyu Hu, Yu Shi, Guiqiang Bai and Yanli Chen
When multiple AUVs are combined in formation, they can improve operational efficiency while maintaining mutual communication. This article focuses on the obstacle avoidance problems en-countered by AUV formations during collaborative search and target ca...
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Alessandro Rasulo, Sofia Nardoianni, Azzurra Evangelisti and Mauro D?Apuzzo
Transportation networks are one of the most vulnerable civil infrastructures during an earthquake and an estimation of traffic impacts in the post-earthquake scenario is a crucial aspect in the context of risk assessment and evaluation of remedial measur...
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Adrian Brezulianu, Oana Geman and Iolanda Valentina Popa
The optimization of locomotive drivers? scheduling in rail freight transportation comes as a necessity for minimizing economic expenses and training investments. The Ferodata AI engine, an artificial intelligence (AI)/machine learning (ML) software modul...
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Kübra Kiziloglu and Ümit Sami Sakalli
Airlines face the imperative of resource management to curtail costs, necessitating the solution of several optimization problems such as flight planning, fleet assignment, aircraft routing, and crew scheduling. These problems present some challenges. Th...
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Yingying Song, Qingrui Zhou and Qingwei Chen
Electromagnetic formation flight uses the electromagnetic interaction between satellites to provide maneuver control for formation satellites, with the advantages of no propellant consumption, long life, and high flexibility. However, high-precision cont...
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Jia Song, Kai Zhao and Yang Liu
The task assignment issue and the path planning problem of Multiple Unmanned Aerial Vehicles (Multi-UAV) are collectively referred to as the Mission Planning Problem (MPP). This review article provides an update on the progress of the MPP on Multi-UAV. F...
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Zhiqiang Niu, Shengnan Wu and Xuesong (Simon) Zhou
Focusing on the dynamic improvement of the underlying service network configuration, this paper aims to address a specific challenge of redesigning a multi-echelon city logistics distribution network. By considering the intra-echelon connection of facili...
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Milos Seda
The assignment problem is a problem that takes many forms in optimization and graph theory, and by changing some of the constraints or interpreting them differently and adding other constraints, it can be converted to routing, distribution, and schedulin...
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Xudong Zhou, Nobuo Funabiki, Hein Htet, Ariel Kamoyedji, Irin Tri Anggraini, Yuanzhi Huo and Yan Watequlis Syaifudin
Currently, the User-PC computingsystem (UPC) has been studied as a low-cost and high-performance distributed computing platform. It uses idling resources of personal computers (PCs) in a group. The job-worker assignment for minimizing makespan is critica...
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Stephen A. Adubi, Olufunke O. Oladipupo and Oludayo O. Olugbara
Hyper-heuristics are widely used for solving numerous complex computational search problems because of their intrinsic capability to generalize across problem domains. The fair-share iterated local search is one of the most successful hyper-heuristics fo...
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