Multi-Objective Optimization of Urban Air Transportation Networks Under Social Considerations
This work proposes and investigates a solution approach to the urban air transportation network optimization problem, considering the perspectives of different stakeholders, including societal interests. Given logistic hub positions and a set of optimized paths connecting them pairwise, we aim for a...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of Intelligent Transportation Systems |
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| Online Access: | https://ieeexplore.ieee.org/document/10634851/ |
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| author | Nikolas Hohmann Sebastian Brulin Jurgen Adamy Markus Olhofer |
| author_facet | Nikolas Hohmann Sebastian Brulin Jurgen Adamy Markus Olhofer |
| author_sort | Nikolas Hohmann |
| collection | DOAJ |
| description | This work proposes and investigates a solution approach to the urban air transportation network optimization problem, considering the perspectives of different stakeholders, including societal interests. Given logistic hub positions and a set of optimized paths connecting them pairwise, we aim for a Pareto-optimal and three-dimensional air corridor network structure. This work demonstrates a way to merge the given paths into a network and provides a framework to optimize the network further regarding multiple objectives. It proposes three objective functions that evaluate the network from the economic perspectives of network providers and users and the city residents’ social point of view. Using geospatial data from Frankfurt, Germany, we conducted different experiments including and excluding the social objective function under a varying input set of pre-optimized paths. Our analysis showed that taking social aspects into account results in traffic networks whose increase in social acceptance far outweighs the extra monetary costs. We conclude that it is beneficial to integrate social criteria into optimization problems when the solutions obtained are the basis for decisions in the area of conflict between the economy and human welfare. |
| format | Article |
| id | doaj-art-852cf42edef349dd96097a3c51488256 |
| institution | Kabale University |
| issn | 2687-7813 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Intelligent Transportation Systems |
| spelling | doaj-art-852cf42edef349dd96097a3c514882562025-01-24T00:02:42ZengIEEEIEEE Open Journal of Intelligent Transportation Systems2687-78132024-01-01558960210.1109/OJITS.2024.344317010634851Multi-Objective Optimization of Urban Air Transportation Networks Under Social ConsiderationsNikolas Hohmann0https://orcid.org/0000-0001-7434-4621Sebastian Brulin1https://orcid.org/0000-0002-9710-6877Jurgen Adamy2https://orcid.org/0000-0001-5612-4932Markus Olhofer3https://orcid.org/0000-0002-3062-3829Department of Control Methods and Intelligent Systems, Technical University of Darmstadt, Darmstadt, GermanyComplex Systems Optimization and Analysis Group, Honda Research Institute Europe, Offenbach, GermanyDepartment of Control Methods and Intelligent Systems, Technical University of Darmstadt, Darmstadt, GermanyComplex Systems Optimization and Analysis Group, Honda Research Institute Europe, Offenbach, GermanyThis work proposes and investigates a solution approach to the urban air transportation network optimization problem, considering the perspectives of different stakeholders, including societal interests. Given logistic hub positions and a set of optimized paths connecting them pairwise, we aim for a Pareto-optimal and three-dimensional air corridor network structure. This work demonstrates a way to merge the given paths into a network and provides a framework to optimize the network further regarding multiple objectives. It proposes three objective functions that evaluate the network from the economic perspectives of network providers and users and the city residents’ social point of view. Using geospatial data from Frankfurt, Germany, we conducted different experiments including and excluding the social objective function under a varying input set of pre-optimized paths. Our analysis showed that taking social aspects into account results in traffic networks whose increase in social acceptance far outweighs the extra monetary costs. We conclude that it is beneficial to integrate social criteria into optimization problems when the solutions obtained are the basis for decisions in the area of conflict between the economy and human welfare.https://ieeexplore.ieee.org/document/10634851/Evolutionary algorithmmulti-objectivesocialoptimizationtraffic networktransportation |
| spellingShingle | Nikolas Hohmann Sebastian Brulin Jurgen Adamy Markus Olhofer Multi-Objective Optimization of Urban Air Transportation Networks Under Social Considerations IEEE Open Journal of Intelligent Transportation Systems Evolutionary algorithm multi-objective social optimization traffic network transportation |
| title | Multi-Objective Optimization of Urban Air Transportation Networks Under Social Considerations |
| title_full | Multi-Objective Optimization of Urban Air Transportation Networks Under Social Considerations |
| title_fullStr | Multi-Objective Optimization of Urban Air Transportation Networks Under Social Considerations |
| title_full_unstemmed | Multi-Objective Optimization of Urban Air Transportation Networks Under Social Considerations |
| title_short | Multi-Objective Optimization of Urban Air Transportation Networks Under Social Considerations |
| title_sort | multi objective optimization of urban air transportation networks under social considerations |
| topic | Evolutionary algorithm multi-objective social optimization traffic network transportation |
| url | https://ieeexplore.ieee.org/document/10634851/ |
| work_keys_str_mv | AT nikolashohmann multiobjectiveoptimizationofurbanairtransportationnetworksundersocialconsiderations AT sebastianbrulin multiobjectiveoptimizationofurbanairtransportationnetworksundersocialconsiderations AT jurgenadamy multiobjectiveoptimizationofurbanairtransportationnetworksundersocialconsiderations AT markusolhofer multiobjectiveoptimizationofurbanairtransportationnetworksundersocialconsiderations |