Pedestrian Dynamics: From Empirical Results to Modeling View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Andreas Schadschneider , Mohcine Chraibi , Armin Seyfried , Antoine Tordeux , Jun Zhang

ABSTRACT

In this contribution, we review the state of the art of the interplay between empirical and theoretical studies of pedestrian dynamics. First, we introduce the main physical quantities characterizing the properties of a homogeneous crowd. A brief summary of some important empirical findings is given. Finally, we discuss the properties of microscopic pedestrian models. Different classifications of the models are proposed. We emphasize the relevance of empirical results and show how they can be used for validation and calibration. More... »

PAGES

63-102

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-030-05129-7_4

DOI

http://dx.doi.org/10.1007/978-3-030-05129-7_4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111691674


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/2008/14", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Economics", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institut f\u00fcr Theoretische Physik, Universit\u00e4t zu K\u00f6ln, K\u00f6ln, Germany", 
          "id": "http://www.grid.ac/institutes/grid.6190.e", 
          "name": [
            "Institut f\u00fcr Theoretische Physik, Universit\u00e4t zu K\u00f6ln, K\u00f6ln, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schadschneider", 
        "givenName": "Andreas", 
        "id": "sg:person.01347445124.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347445124.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Advanced Simulation, Forschungszentrum J\u00fclich GmbH, J\u00fclich, Germany", 
          "id": "http://www.grid.ac/institutes/grid.8385.6", 
          "name": [
            "Institute of Advanced Simulation, Forschungszentrum J\u00fclich GmbH, J\u00fclich, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chraibi", 
        "givenName": "Mohcine", 
        "id": "sg:person.012724113050.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012724113050.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Advanced Simulation, Forschungszentrum J\u00fclich GmbH, J\u00fclich, Germany", 
          "id": "http://www.grid.ac/institutes/grid.8385.6", 
          "name": [
            "Institute of Advanced Simulation, Forschungszentrum J\u00fclich GmbH, J\u00fclich, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Seyfried", 
        "givenName": "Armin", 
        "id": "sg:person.014676264157.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014676264157.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Mechanical Engineering and Safety Engineering, University of Wuppertal, Wuppertal, Germany", 
          "id": "http://www.grid.ac/institutes/grid.7787.f", 
          "name": [
            "School of Mechanical Engineering and Safety Engineering, University of Wuppertal, Wuppertal, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tordeux", 
        "givenName": "Antoine", 
        "id": "sg:person.0711244634.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711244634.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, China", 
          "id": "http://www.grid.ac/institutes/grid.59053.3a", 
          "name": [
            "State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Jun", 
        "id": "sg:person.010705716265.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010705716265.92"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2018", 
    "datePublishedReg": "2018-01-01", 
    "description": "In this contribution, we review the state of the art of the interplay between empirical and theoretical studies of pedestrian dynamics. First, we introduce the main physical quantities characterizing the properties of a homogeneous crowd. A brief summary of some important empirical findings is given. Finally, we discuss the properties of microscopic pedestrian models. Different classifications of the models are proposed. We emphasize the relevance of empirical results and show how they can be used for validation and calibration.", 
    "editor": [
      {
        "familyName": "Gibelli", 
        "givenName": "Livio", 
        "type": "Person"
      }, 
      {
        "familyName": "Bellomo", 
        "givenName": "Nicola", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-030-05129-7_4", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-030-05128-0", 
        "978-3-030-05129-7"
      ], 
      "name": "Crowd Dynamics, Volume 1", 
      "type": "Book"
    }, 
    "keywords": [
      "empirical results", 
      "important empirical findings", 
      "empirical findings", 
      "main physical quantities", 
      "physical quantities", 
      "microscopic pedestrian model", 
      "pedestrian dynamics", 
      "homogeneous crowds", 
      "theoretical study", 
      "model", 
      "different classifications", 
      "pedestrian model", 
      "crowd", 
      "dynamics", 
      "properties", 
      "brief summary", 
      "modeling", 
      "contribution", 
      "findings", 
      "relevance", 
      "quantity", 
      "results", 
      "state", 
      "interplay", 
      "calibration", 
      "validation", 
      "study", 
      "classification", 
      "art", 
      "summary"
    ], 
    "name": "Pedestrian Dynamics: From Empirical Results to Modeling", 
    "pagination": "63-102", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111691674"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-030-05129-7_4"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-030-05129-7_4", 
      "https://app.dimensions.ai/details/publication/pub.1111691674"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-06-01T22:35", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/chapter/chapter_447.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-030-05129-7_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.10.1007/978-3-030-05129-7_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.10.1007/978-3-030-05129-7_4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-05129-7_4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-05129-7_4'


 

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

132 TRIPLES      23 PREDICATES      56 URIs      49 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-030-05129-7_4 schema:about anzsrc-for:14
2 anzsrc-for:1402
3 schema:author Nf55d5364383e492d8c8b07572746dfd9
4 schema:datePublished 2018
5 schema:datePublishedReg 2018-01-01
6 schema:description In this contribution, we review the state of the art of the interplay between empirical and theoretical studies of pedestrian dynamics. First, we introduce the main physical quantities characterizing the properties of a homogeneous crowd. A brief summary of some important empirical findings is given. Finally, we discuss the properties of microscopic pedestrian models. Different classifications of the models are proposed. We emphasize the relevance of empirical results and show how they can be used for validation and calibration.
7 schema:editor N2a802153675b4d2aae72118e2e5df6d9
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf N2c48de1841c7451cb0512fedb5c3ab54
12 schema:keywords art
13 brief summary
14 calibration
15 classification
16 contribution
17 crowd
18 different classifications
19 dynamics
20 empirical findings
21 empirical results
22 findings
23 homogeneous crowds
24 important empirical findings
25 interplay
26 main physical quantities
27 microscopic pedestrian model
28 model
29 modeling
30 pedestrian dynamics
31 pedestrian model
32 physical quantities
33 properties
34 quantity
35 relevance
36 results
37 state
38 study
39 summary
40 theoretical study
41 validation
42 schema:name Pedestrian Dynamics: From Empirical Results to Modeling
43 schema:pagination 63-102
44 schema:productId N9a8d4b8bf22348ae93f5d7b98bd27a0d
45 Ndcd999d5b93f47059b1a38ba5a23db84
46 schema:publisher N6d85f1237d14426e9c938cbe321af743
47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111691674
48 https://doi.org/10.1007/978-3-030-05129-7_4
49 schema:sdDatePublished 2022-06-01T22:35
50 schema:sdLicense https://scigraph.springernature.com/explorer/license/
51 schema:sdPublisher N4ca1fd46fc394b4ba764eb5eadee55a4
52 schema:url https://doi.org/10.1007/978-3-030-05129-7_4
53 sgo:license sg:explorer/license/
54 sgo:sdDataset chapters
55 rdf:type schema:Chapter
56 N2a802153675b4d2aae72118e2e5df6d9 rdf:first N49f5cb62ff9f4212847adec1c7499632
57 rdf:rest Ne3d48a12c7ae48d5936d5779d41f276a
58 N2c48de1841c7451cb0512fedb5c3ab54 schema:isbn 978-3-030-05128-0
59 978-3-030-05129-7
60 schema:name Crowd Dynamics, Volume 1
61 rdf:type schema:Book
62 N3081978a46ba49b588088e933e48f4d7 schema:familyName Bellomo
63 schema:givenName Nicola
64 rdf:type schema:Person
65 N49f5cb62ff9f4212847adec1c7499632 schema:familyName Gibelli
66 schema:givenName Livio
67 rdf:type schema:Person
68 N4ca1fd46fc394b4ba764eb5eadee55a4 schema:name Springer Nature - SN SciGraph project
69 rdf:type schema:Organization
70 N6d85f1237d14426e9c938cbe321af743 schema:name Springer Nature
71 rdf:type schema:Organisation
72 N703407d46c154d73bbf79ed9b44f27a0 rdf:first sg:person.012724113050.28
73 rdf:rest N96e38c23098542d58dbc15285b30fed1
74 N96e38c23098542d58dbc15285b30fed1 rdf:first sg:person.014676264157.39
75 rdf:rest Ndc17110fcc5c4b4ab9d09d1f71ead7df
76 N9a8d4b8bf22348ae93f5d7b98bd27a0d schema:name doi
77 schema:value 10.1007/978-3-030-05129-7_4
78 rdf:type schema:PropertyValue
79 Ndc17110fcc5c4b4ab9d09d1f71ead7df rdf:first sg:person.0711244634.52
80 rdf:rest Neb2823e915fa40928aa350b9370e96bf
81 Ndcd999d5b93f47059b1a38ba5a23db84 schema:name dimensions_id
82 schema:value pub.1111691674
83 rdf:type schema:PropertyValue
84 Ne3d48a12c7ae48d5936d5779d41f276a rdf:first N3081978a46ba49b588088e933e48f4d7
85 rdf:rest rdf:nil
86 Neb2823e915fa40928aa350b9370e96bf rdf:first sg:person.010705716265.92
87 rdf:rest rdf:nil
88 Nf55d5364383e492d8c8b07572746dfd9 rdf:first sg:person.01347445124.93
89 rdf:rest N703407d46c154d73bbf79ed9b44f27a0
90 anzsrc-for:14 schema:inDefinedTermSet anzsrc-for:
91 schema:name Economics
92 rdf:type schema:DefinedTerm
93 anzsrc-for:1402 schema:inDefinedTermSet anzsrc-for:
94 schema:name Applied Economics
95 rdf:type schema:DefinedTerm
96 sg:person.010705716265.92 schema:affiliation grid-institutes:grid.59053.3a
97 schema:familyName Zhang
98 schema:givenName Jun
99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010705716265.92
100 rdf:type schema:Person
101 sg:person.012724113050.28 schema:affiliation grid-institutes:grid.8385.6
102 schema:familyName Chraibi
103 schema:givenName Mohcine
104 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012724113050.28
105 rdf:type schema:Person
106 sg:person.01347445124.93 schema:affiliation grid-institutes:grid.6190.e
107 schema:familyName Schadschneider
108 schema:givenName Andreas
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347445124.93
110 rdf:type schema:Person
111 sg:person.014676264157.39 schema:affiliation grid-institutes:grid.8385.6
112 schema:familyName Seyfried
113 schema:givenName Armin
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014676264157.39
115 rdf:type schema:Person
116 sg:person.0711244634.52 schema:affiliation grid-institutes:grid.7787.f
117 schema:familyName Tordeux
118 schema:givenName Antoine
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711244634.52
120 rdf:type schema:Person
121 grid-institutes:grid.59053.3a schema:alternateName State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, China
122 schema:name State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, China
123 rdf:type schema:Organization
124 grid-institutes:grid.6190.e schema:alternateName Institut für Theoretische Physik, Universität zu Köln, Köln, Germany
125 schema:name Institut für Theoretische Physik, Universität zu Köln, Köln, Germany
126 rdf:type schema:Organization
127 grid-institutes:grid.7787.f schema:alternateName School of Mechanical Engineering and Safety Engineering, University of Wuppertal, Wuppertal, Germany
128 schema:name School of Mechanical Engineering and Safety Engineering, University of Wuppertal, Wuppertal, Germany
129 rdf:type schema:Organization
130 grid-institutes:grid.8385.6 schema:alternateName Institute of Advanced Simulation, Forschungszentrum Jülich GmbH, Jülich, Germany
131 schema:name Institute of Advanced Simulation, Forschungszentrum Jülich GmbH, Jülich, Germany
132 rdf:type schema:Organization
 




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


...