Example of a convex function in the polar coordinate system. Property 1. The function Y k,l (θ) is convex in the polar coordinate system if the following condition holds: R > RG where:

Example of a convex function in the polar coordinate system. Property 1. The function Y k,l (θ) is convex in the polar coordinate system if the following condition holds: R > RG where:

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The presented problem concerns the route planning of a UAV fleet carrying out deliveries to spatially dispersed customers in a highly dynamic and unpredictable environment within a specified timeframe. The developed model allows for predictive (i.e., taking into account forecasted changing weather conditions) and reactive (i.e., enabling contingenc...

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... that function A(θ) is a convex function in the polar coordinate system if each section with ends belonging to an area limited by the function A(θ) is included in this area (see Figure 4). ...

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... It can allow for improved delivery times and increased productivity. Thirdly, UAVs can be used to transport emergency supplies and medical equipment to hard-to-reach locations, potentially saving lives (Grzegorz et al., 2021;Flores-Caballero et al., 2020). The emergency response times in densely populated urban areas can be improved using urban mobility. ...
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Urban Air Mobility (UAM) is an innovative concept that offers a distinct solution for dense urban transportation through the use of electric vertical take-off and landing (eVTOL) aircraft and unmanned aerial vehicles (UAVs), despite not being the first technological development in transportation. This study aims to understand society's perspective on this innovative concept by analysing its benefits and challenges. A total of 518 individuals living in Ankara and Istanbul, which are the provinces with the highest population density in Türkiye, were surveyed online as part of this research. The analysis results indicate that the system is perceived as beneficial by the public, particularly in emergency situations, where its usage receives general acceptance. However, significant challenges are observed in terms of integrating UAM into the existing airspace. Moreover, variations in the level of benefit based on gender and frequency of public transportation usage, as well as differences in the level of challenge based on age, have been identified. Furthermore, it is evident that there are differences in society regarding knowledge level, attitude, and willingness to use UAM.
... This deficiency is visible, among others, in the need for studies covering reactive OWF maintenance planning, related to the generation of scenarios that would suspend or stop an initiated inspection and/or repair missions. The presented research gap is address by relatively few studies [17,[36][37][38]. It is easy to see that filling this gap will contribute to the creation of systems supporting the dispatcher in planning missions related to the maintenance of OWFs. ...
... The function F (θ) (used in (59)) represents the forecasted weather conditions during the UAV flight mission [38,39]. A value of this function determines the maximal value of forecasted wind speed vw in direction θ. ...
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This paper presents a declarative model of maintenance logistics for offshore wind farms. Its implementation in decision-making tools supporting wind turbine maintenance enables online prototyping of alternative scenarios and variants of wind turbine servicing, including weather-related operation vessel movement and routing of unmanned aerial vehicle (UAV) fleets carrying out maintenance on these wind turbines during monitoring or component-delivery missions. The possibility of implementing the model was verified via two case studies focusing, separately, on the issues of routing and scheduling of a UAV fleet used for the inspection of wind turbines and the distribution of ordered spare parts. The open structure of the model allows for its easy generalization, expanding the range of supported functions, including vessel fleet routing in an offshore wind farm, staff and competence planning of service teams, and supply chain management, enabling the planning of tool sets distributed to serviced wind turbines. Computer experiments conducted for various weather conditions confirm the competitiveness of the proposed approach.
... Giovanni Campuzano for the last kilometer of logistics, the dynamic UAV scheduling problem is studied, the factors of delayed delivery of UAVs are considered, and a Markov decision model is designed [3]. Grzegora presented problem concerns the route planning of a UAV fleet carrying out deliveries to spatially dispersed customers in a highly dynamic and unpredictable environment within a specified timeframe [4]. Qin Chen proposed an improved ant colony algorithm based on tabu search for the larger scale UAV scheduling problem. ...
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"The last mile" is a key problem that needs to be solved urgently by major e-commerce companies, and also an important means to improve their competitiveness in e-commerce activities. In this paper, aiming at the problems existing in the current community intelligent logistics, from the perspective of the entire logistics system, combined with the actual distribution of logistics sites and distribution methods, we studied the scheduling problem of UAVs using different strategies when returning to the site after distribution. First, the UAV distribution time model is established, and then the model is solved with the minimum completion time of goods distribution as the goal. Finally, the feasibility of the algorithm is verified through simulation experiments, and the optimal scheduling strategy of UAV is given in combination with the actual operation, thus guiding e-commerce to build a reasonable intelligent logistics system.
Chapter
Chapter discusses the problem of mutual reachability of cyclic steady state behaviors of SCCMP. It presents a generalized concept of a CSS, which allows formulating the problem of mutual reachability of cyclic behaviors of SCCMP as a constraint satisfaction problem. The model developed in this study makes it possible to determine the conditions that guarantee the transition between selected cyclic behaviors of a system without the need to relocate the processes executed in it.