UAVs’ Dynamic Routing, Subject to Time Windows Variation
This paper presents a method for the multiple autonomous vehicles mission flight planning in changing weather conditions. We model UAVs fleet servicing spatially-dispersed customers in terms of declarative modelling framework. The considered problem boils down to a predictive and reactive planning o...
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| Published in | IFAC-PapersOnLine Vol. 55; no. 2; pp. 457 - 462 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2405-8963 2405-8971 2405-8963 |
| DOI | 10.1016/j.ifacol.2022.04.236 |
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| Abstract | This paper presents a method for the multiple autonomous vehicles mission flight planning in changing weather conditions. We model UAVs fleet servicing spatially-dispersed customers in terms of declarative modelling framework. The considered problem boils down to a predictive and reactive planning of delivery missions within a specified timeframe. Due to the need to implement an emergency return of a UAV to its base, or to handle variations in delivery periods, conditions sufficient to allow eliminating unfeasible solutions, and thus allowing to speed up the calculations, have been developed. The results of numerous computer experiments have confirmed experiments these expectations. |
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| AbstractList | This paper presents a method for the multiple autonomous vehicles mission flight planning in changing weather conditions. We model UAVs fleet servicing spatially-dispersed customers in terms of declarative modelling framework. The considered problem boils down to a predictive and reactive planning of delivery missions within a specified timeframe. Due to the need to implement an emergency return of a UAV to its base, or to handle variations in delivery periods, conditions sufficient to allow eliminating unfeasible solutions, and thus allowing to speed up the calculations, have been developed. The results of numerous computer experiments have confirmed experiments these expectations. |
| Author | Banaszak, Zbigniew Bocewicz, Grzegorz Nielsen, Peter Radzki, Grzegorz |
| Author_xml | – sequence: 1 givenname: Grzegorz surname: Bocewicz fullname: Bocewicz, Grzegorz email: grzegorz.bocewicz@tu.koszalin.pl organization: Faculty of Electronics and Computer Science, Koszalin University of Technology, Poland – sequence: 2 givenname: Grzegorz surname: Radzki fullname: Radzki, Grzegorz email: radzki.grzegorz@gmail.com organization: Faculty of Electronics and Computer Science, Koszalin University of Technology, Poland – sequence: 3 givenname: Peter surname: Nielsen fullname: Nielsen, Peter email: peter@mp.aau.dk organization: Dept. of Materials and Production, Aalborg University, Aalborg, Denmark – sequence: 4 givenname: Zbigniew surname: Banaszak fullname: Banaszak, Zbigniew email: Zbigniew.Banaszak@tu.koszalin.pl organization: Faculty of Electronics and Computer Science, Koszalin University of Technology, Poland |
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| Cites_doi | 10.1016/j.procs.2012.06.068 10.1017/S0269964800003181 10.1016/j.cie.2021.107416 10.1016/j.cie.2010.03.013 10.3390/su10093344 10.1002/dac.4104 10.1007/s11047-020-09820-4 10.1007/978-3-319-99996-8_16 10.1287/msom.2018.0707 10.1287/trsc.1030.0026 10.1109/TSMC.2016.2582745 10.3390/su13095228 10.2514/6.2008-5913 10.1016/j.ins.2021.11.062 10.1155/2018/2851964 10.1109/DCOSS52077.2021.00062 10.1007/978-3-030-28377-3_42 10.1016/0377-2217(93)90247-K 10.3390/sym11091151 10.1007/s10846-019-01045-7 10.1016/j.future.2019.01.028 10.3390/app9091848 10.1016/j.ifacol.2018.08.315 10.1007/978-3-319-24834-9_15 10.3390/su13010006 10.1007/s10845-020-01734-3 10.1007/s00521-020-04832-8 |
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| Keywords | multiple autonomous vehicles mission flight planning alternative routing weathercast constraint programming |
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| Snippet | This paper presents a method for the multiple autonomous vehicles mission flight planning in changing weather conditions. We model UAVs fleet servicing... |
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| StartPage | 457 |
| SubjectTerms | alternative routing constraint programming multiple autonomous vehicles mission flight planning weathercast |
| Title | UAVs’ Dynamic Routing, Subject to Time Windows Variation |
| URI | https://dx.doi.org/10.1016/j.ifacol.2022.04.236 https://doi.org/10.1016/j.ifacol.2022.04.236 |
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