Strategic Allocation of Flight Plans in Air Traffic Management: An Evolutionary Point of View View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Gérald Gurtner, Fabrizio Lillo

ABSTRACT

We present a simplified model of the strategic allocation of trajectories in a generic airspace for commercial flights. In this model, two types of companies, characterized by different cost functions and different strategies, compete for the allocation of trajectories in the airspace. With an analytical model and numerical simulations, we show that the relative advantage of the two populations—companies—depends on external factors like traffic demand as well as on the composition of the population. We show that there exists a stable equilibrium state which depends on the traffic demand. We also show that the equilibrium solution is not the optimal at the global level, but rather that it tends to favour one of the two business models—the archetype for low-cost companies. Finally, linking the cost of allocated flights with the fitness of a company, we study the evolutionary dynamics of the system, investigating the fluctuations of population composition around the equilibrium and the speed of convergence towards it. We prove that in the presence of noise due to finite populations, the equilibrium point is shifted and is reached more slowly. More... »

PAGES

799-821

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13235-017-0236-4

DOI

http://dx.doi.org/10.1007/s13235-017-0236-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1099746548


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1402", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Applied Economics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/14", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Economics", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Westminster", 
          "id": "https://www.grid.ac/institutes/grid.12896.34", 
          "name": [
            "Department of Planning and Transport, University of Westminster, 35 Marylebone Road, NW1 5LS, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gurtner", 
        "givenName": "G\u00e9rald", 
        "id": "sg:person.01212151724.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212151724.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Bologna", 
          "id": "https://www.grid.ac/institutes/grid.6292.f", 
          "name": [
            "Department of Mathematics, University of Bologna, Piazza di Porta San Donato 5, 40126, Bologna, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lillo", 
        "givenName": "Fabrizio", 
        "id": "sg:person.01106145567.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106145567.83"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1088/1742-5468/2015/05/p05028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000196481"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physrep.2005.10.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006977567"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0094414", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011446279"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1140/epjst/e2013-01711-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023900247", 
          "https://doi.org/10.1140/epjst/e2013-01711-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0510525103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024622397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physa.2009.06.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031653190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0407994102", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034278078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep01344", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036760492", 
          "https://doi.org/10.1038/srep01344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jairtraman.2016.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039335686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tre.2014.08.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041208284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/revmodphys.73.1067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042579156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/revmodphys.73.1067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042579156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.69.046106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051004389"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.69.046106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051004389"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.81.066122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052831801"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.81.066122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052831801"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/jp1:1992277", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056973877"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1063/1.3129785", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057915087"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/acprof:oso/9780199211517.001.0001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098746504"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-02452-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109712106", 
          "https://doi.org/10.1007/978-3-662-02452-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-662-02452-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1109712106", 
          "https://doi.org/10.1007/978-3-662-02452-2"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "We present a simplified model of the strategic allocation of trajectories in a generic airspace for commercial flights. In this model, two types of companies, characterized by different cost functions and different strategies, compete for the allocation of trajectories in the airspace. With an analytical model and numerical simulations, we show that the relative advantage of the two populations\u2014companies\u2014depends on external factors like traffic demand as well as on the composition of the population. We show that there exists a stable equilibrium state which depends on the traffic demand. We also show that the equilibrium solution is not the optimal at the global level, but rather that it tends to favour one of the two business models\u2014the archetype for low-cost companies. Finally, linking the cost of allocated flights with the fitness of a company, we study the evolutionary dynamics of the system, investigating the fluctuations of population composition around the equilibrium and the speed of convergence towards it. We prove that in the presence of noise due to finite populations, the equilibrium point is shifted and is reached more slowly.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s13235-017-0236-4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1053341", 
        "issn": [
          "2153-0785", 
          "2153-0793"
        ], 
        "name": "Dynamic Games and Applications", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "8"
      }
    ], 
    "name": "Strategic Allocation of Flight Plans in Air Traffic Management: An Evolutionary Point of View", 
    "pagination": "799-821", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d8bd8d9cd50bb6f300c5721484e9e67abba6f9df5e75455991ebde1a99254b72"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s13235-017-0236-4"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1099746548"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s13235-017-0236-4", 
      "https://app.dimensions.ai/details/publication/pub.1099746548"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T02:30", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8700_00000603.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs13235-017-0236-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s13235-017-0236-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s13235-017-0236-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s13235-017-0236-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s13235-017-0236-4'


 

This table displays all metadata directly associated to this object as RDF triples.

125 TRIPLES      21 PREDICATES      44 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s13235-017-0236-4 schema:about anzsrc-for:14
2 anzsrc-for:1402
3 schema:author Ne51df531409c43cca40a7722febceed4
4 schema:citation sg:pub.10.1007/978-3-662-02452-2
5 sg:pub.10.1038/srep01344
6 sg:pub.10.1140/epjst/e2013-01711-9
7 https://doi.org/10.1016/j.jairtraman.2016.11.004
8 https://doi.org/10.1016/j.physa.2009.06.005
9 https://doi.org/10.1016/j.physrep.2005.10.009
10 https://doi.org/10.1016/j.tre.2014.08.005
11 https://doi.org/10.1051/jp1:1992277
12 https://doi.org/10.1063/1.3129785
13 https://doi.org/10.1073/pnas.0407994102
14 https://doi.org/10.1073/pnas.0510525103
15 https://doi.org/10.1088/1742-5468/2015/05/p05028
16 https://doi.org/10.1093/acprof:oso/9780199211517.001.0001
17 https://doi.org/10.1103/physreve.69.046106
18 https://doi.org/10.1103/physreve.81.066122
19 https://doi.org/10.1103/revmodphys.73.1067
20 https://doi.org/10.1371/journal.pone.0094414
21 schema:datePublished 2018-12
22 schema:datePublishedReg 2018-12-01
23 schema:description We present a simplified model of the strategic allocation of trajectories in a generic airspace for commercial flights. In this model, two types of companies, characterized by different cost functions and different strategies, compete for the allocation of trajectories in the airspace. With an analytical model and numerical simulations, we show that the relative advantage of the two populations—companies—depends on external factors like traffic demand as well as on the composition of the population. We show that there exists a stable equilibrium state which depends on the traffic demand. We also show that the equilibrium solution is not the optimal at the global level, but rather that it tends to favour one of the two business models—the archetype for low-cost companies. Finally, linking the cost of allocated flights with the fitness of a company, we study the evolutionary dynamics of the system, investigating the fluctuations of population composition around the equilibrium and the speed of convergence towards it. We prove that in the presence of noise due to finite populations, the equilibrium point is shifted and is reached more slowly.
24 schema:genre research_article
25 schema:inLanguage en
26 schema:isAccessibleForFree true
27 schema:isPartOf N4347f6e512274752811ebd810ad19713
28 Nece73d58711e469980a84988ee05b752
29 sg:journal.1053341
30 schema:name Strategic Allocation of Flight Plans in Air Traffic Management: An Evolutionary Point of View
31 schema:pagination 799-821
32 schema:productId N4914a0527f5e4f92bd7465686e813ef2
33 Ne5617352dd6445ddacb50db0d42eef8b
34 Neb756315dc27483698b8f2b3d87b377a
35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099746548
36 https://doi.org/10.1007/s13235-017-0236-4
37 schema:sdDatePublished 2019-04-11T02:30
38 schema:sdLicense https://scigraph.springernature.com/explorer/license/
39 schema:sdPublisher Nad1b31436d4f447da72ba9ae998e7584
40 schema:url https://link.springer.com/10.1007%2Fs13235-017-0236-4
41 sgo:license sg:explorer/license/
42 sgo:sdDataset articles
43 rdf:type schema:ScholarlyArticle
44 N4347f6e512274752811ebd810ad19713 schema:volumeNumber 8
45 rdf:type schema:PublicationVolume
46 N4914a0527f5e4f92bd7465686e813ef2 schema:name doi
47 schema:value 10.1007/s13235-017-0236-4
48 rdf:type schema:PropertyValue
49 Nad1b31436d4f447da72ba9ae998e7584 schema:name Springer Nature - SN SciGraph project
50 rdf:type schema:Organization
51 Nb107ef95730445dbb22a1190001accaa rdf:first sg:person.01106145567.83
52 rdf:rest rdf:nil
53 Ne51df531409c43cca40a7722febceed4 rdf:first sg:person.01212151724.05
54 rdf:rest Nb107ef95730445dbb22a1190001accaa
55 Ne5617352dd6445ddacb50db0d42eef8b schema:name dimensions_id
56 schema:value pub.1099746548
57 rdf:type schema:PropertyValue
58 Neb756315dc27483698b8f2b3d87b377a schema:name readcube_id
59 schema:value d8bd8d9cd50bb6f300c5721484e9e67abba6f9df5e75455991ebde1a99254b72
60 rdf:type schema:PropertyValue
61 Nece73d58711e469980a84988ee05b752 schema:issueNumber 4
62 rdf:type schema:PublicationIssue
63 anzsrc-for:14 schema:inDefinedTermSet anzsrc-for:
64 schema:name Economics
65 rdf:type schema:DefinedTerm
66 anzsrc-for:1402 schema:inDefinedTermSet anzsrc-for:
67 schema:name Applied Economics
68 rdf:type schema:DefinedTerm
69 sg:journal.1053341 schema:issn 2153-0785
70 2153-0793
71 schema:name Dynamic Games and Applications
72 rdf:type schema:Periodical
73 sg:person.01106145567.83 schema:affiliation https://www.grid.ac/institutes/grid.6292.f
74 schema:familyName Lillo
75 schema:givenName Fabrizio
76 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01106145567.83
77 rdf:type schema:Person
78 sg:person.01212151724.05 schema:affiliation https://www.grid.ac/institutes/grid.12896.34
79 schema:familyName Gurtner
80 schema:givenName Gérald
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212151724.05
82 rdf:type schema:Person
83 sg:pub.10.1007/978-3-662-02452-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109712106
84 https://doi.org/10.1007/978-3-662-02452-2
85 rdf:type schema:CreativeWork
86 sg:pub.10.1038/srep01344 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036760492
87 https://doi.org/10.1038/srep01344
88 rdf:type schema:CreativeWork
89 sg:pub.10.1140/epjst/e2013-01711-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023900247
90 https://doi.org/10.1140/epjst/e2013-01711-9
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1016/j.jairtraman.2016.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039335686
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1016/j.physa.2009.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031653190
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1016/j.physrep.2005.10.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006977567
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1016/j.tre.2014.08.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041208284
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1051/jp1:1992277 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056973877
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1063/1.3129785 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057915087
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1073/pnas.0407994102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034278078
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1073/pnas.0510525103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024622397
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1088/1742-5468/2015/05/p05028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000196481
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1093/acprof:oso/9780199211517.001.0001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098746504
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1103/physreve.69.046106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051004389
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1103/physreve.81.066122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052831801
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1103/revmodphys.73.1067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042579156
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1371/journal.pone.0094414 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011446279
119 rdf:type schema:CreativeWork
120 https://www.grid.ac/institutes/grid.12896.34 schema:alternateName University of Westminster
121 schema:name Department of Planning and Transport, University of Westminster, 35 Marylebone Road, NW1 5LS, London, UK
122 rdf:type schema:Organization
123 https://www.grid.ac/institutes/grid.6292.f schema:alternateName University of Bologna
124 schema:name Department of Mathematics, University of Bologna, Piazza di Porta San Donato 5, 40126, Bologna, Italy
125 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...