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dc.contributor.authorChen, Jun
dc.contributor.authorAtkin, Jason A. D.
dc.contributor.authorLocatelli, Giorgio
dc.contributor.authorWeiszer, Michal
dc.contributor.authorRavizza, Stefan
dc.contributor.authorStewart, Paul
dc.contributor.authorBurke, Edmund K.
dc.date.accessioned2017-01-17T10:19:22Z
dc.date.available2017-01-17T10:19:22Z
dc.date.issued2016-10-31
dc.identifier.citationChen, J. et al (2016) 'Toward a More Realistic, Cost-Effective, and Greener Ground Movement Through Active Routing: A Multiobjective Shortest Path Approach', IEEE Transactions on Intelligent Transportation Systems, 17 (12):3524.en
dc.identifier.issn15249050
dc.identifier.doi10.1109/TITS.2016.2587619
dc.identifier.urihttp://hdl.handle.net/10545/621261en
dc.description.abstractThis paper draws upon earlier work, which devel- oped a multiobjective speed profile generation framework for unimpeded taxiing aircraft. Here, we deal with how to seamlessly integrate such efficient speed profiles into a holistic decision- making framework. The availability of a set of nondominated unimpeded speed profiles for each taxiway segment, with respect to conflicting objectives, has the potential to significantly impact upon airport ground movement research. More specifically, the routing and scheduling function that was previously based on distance, emphasizing time efficiency, could now be based on richer information embedded within speed profiles, such as the taxiing times along segments, the corresponding fuel consumption, and the associated economic implications. The economic implica- tions are exploited over a day of operation, to take into account cost differences between busier and quieter times of the airport. Therefore, a more cost-effective and tailored decision can be made, respecting the environmental impact. Preliminary results based on the proposed approach show a 9%–50% reduction in time and fuel respectively for two international airports: Zurich and Manchester. The study also suggests that, if the average power setting during the acceleration phase could be lifted from the level suggested by the International Civil Aviation Organization, ground operations may simultaneously improve both time and fuel efficiency. The work described in this paper aims to open up the possibility to move away from the conventional distance-based routing and scheduling to a more comprehensive framework, capturing the multifaceted needs of all stakeholders involved in airport ground operations.
dc.description.sponsorshipThis research output was part funded by EPSRC EP/H004424/1: Integrating and Automating Low Carbon Airport Operations. Collaborating companies: Manchester and Zurich Airports, with University of Nottingham PIs Professor Paul Stewart and Professor Edmund Burkeen
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/7726055/en
dc.rightsArchived with thanks to IEEE Transactions on Intelligent Transportation Systemsen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectActive routingen
dc.subjectMultiobjective optimisationen
dc.subjectAirport ground movementen
dc.subjectAirport operationsen
dc.subjectVelocity controlen
dc.subjectAircraft controlen
dc.titleToward a more realistic, cost-effective, and greener ground movement through active routing: A multiobjective shortest path approachen
dc.typeArticleen
dc.identifier.eissn15580016
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalIEEE Transactions on Intelligent Transportation Systemsen
refterms.dateFOA2019-02-28T15:20:03Z
html.description.abstractThis paper draws upon earlier work, which devel- oped a multiobjective speed profile generation framework for unimpeded taxiing aircraft. Here, we deal with how to seamlessly integrate such efficient speed profiles into a holistic decision- making framework. The availability of a set of nondominated unimpeded speed profiles for each taxiway segment, with respect to conflicting objectives, has the potential to significantly impact upon airport ground movement research. More specifically, the routing and scheduling function that was previously based on distance, emphasizing time efficiency, could now be based on richer information embedded within speed profiles, such as the taxiing times along segments, the corresponding fuel consumption, and the associated economic implications. The economic implica- tions are exploited over a day of operation, to take into account cost differences between busier and quieter times of the airport. Therefore, a more cost-effective and tailored decision can be made, respecting the environmental impact. Preliminary results based on the proposed approach show a 9%–50% reduction in time and fuel respectively for two international airports: Zurich and Manchester. The study also suggests that, if the average power setting during the acceleration phase could be lifted from the level suggested by the International Civil Aviation Organization, ground operations may simultaneously improve both time and fuel efficiency. The work described in this paper aims to open up the possibility to move away from the conventional distance-based routing and scheduling to a more comprehensive framework, capturing the multifaceted needs of all stakeholders involved in airport ground operations.


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Archived with thanks to IEEE Transactions on Intelligent Transportation Systems
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