Design and Application of Intelligent Transportation Multi-Source Data Collaboration Framework Based on Digital Twins Article Swipe
Xihou Zhang
,
Dingding Han
,
Xiaobo Zhang
,
Le-Heng Fang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/app13031923
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/app13031923
The increasing urban traffic problems have made the transportation system require a large amount of data. Aiming at the current problems of data types redundancy and low coordination rate of intelligent transportation systems (ITS), this paper proposes an improved digital twin architecture applicable to ITS. Based on the improved digital twin architecture, a framework for dynamic and static data collaboration in ITS is constructed. For various collaboration methods, this paper specifically describes the collaboration methods and scopes, and designs the framework and interfaces for data mapping. Finally, the effectiveness of the framework is verified by case studies to mine the spatiotemporal distribution characteristics of data, capture human travel characteristics, and visualize intersections using digital twins. This paper provides a new data fusion idea for digital twin systems in ITS, and the framework covers all data types in digital twin systems for cross-integration analysis.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app13031923
- https://www.mdpi.com/2076-3417/13/3/1923/pdf?version=1675326239
- OA Status
- gold
- Cited By
- 18
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4319019501
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4319019501Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/app13031923Digital Object Identifier
- Title
-
Design and Application of Intelligent Transportation Multi-Source Data Collaboration Framework Based on Digital TwinsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-02Full publication date if available
- Authors
-
Xihou Zhang, Dingding Han, Xiaobo Zhang, Le-Heng FangList of authors in order
- Landing page
-
https://doi.org/10.3390/app13031923Publisher landing page
- PDF URL
-
https://www.mdpi.com/2076-3417/13/3/1923/pdf?version=1675326239Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2076-3417/13/3/1923/pdf?version=1675326239Direct OA link when available
- Concepts
-
Computer science, Redundancy (engineering), Architecture, Intelligent transportation system, Distributed computing, Digital data, Transport engineering, Engineering, Computer network, Data transmission, Operating system, Visual arts, ArtTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
18Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2024: 4, 2023: 6Per-year citation counts (last 5 years)
- References (count)
-
28Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4319019501 |
|---|---|
| doi | https://doi.org/10.3390/app13031923 |
| ids.doi | https://doi.org/10.3390/app13031923 |
| ids.openalex | https://openalex.org/W4319019501 |
| fwci | 5.13924709 |
| type | article |
| title | Design and Application of Intelligent Transportation Multi-Source Data Collaboration Framework Based on Digital Twins |
| awards[0].id | https://openalex.org/G4269022257 |
| awards[0].funder_id | https://openalex.org/F4320321885 |
| awards[0].display_name | |
| awards[0].funder_award_id | 22JC1402500 |
| awards[0].funder_display_name | Science and Technology Commission of Shanghai Municipality |
| biblio.issue | 3 |
| biblio.volume | 13 |
| biblio.last_page | 1923 |
| biblio.first_page | 1923 |
| topics[0].id | https://openalex.org/T10763 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9846000075340271 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2209 |
| topics[0].subfield.display_name | Industrial and Manufacturing Engineering |
| topics[0].display_name | Digital Transformation in Industry |
| topics[1].id | https://openalex.org/T13181 |
| topics[1].field.id | https://openalex.org/fields/14 |
| topics[1].field.display_name | Business, Management and Accounting |
| topics[1].score | 0.9539999961853027 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1405 |
| topics[1].subfield.display_name | Management of Technology and Innovation |
| topics[1].display_name | Economic and Technological Systems Analysis |
| topics[2].id | https://openalex.org/T12120 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.9395999908447266 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2305 |
| topics[2].subfield.display_name | Environmental Engineering |
| topics[2].display_name | Air Quality Monitoring and Forecasting |
| funders[0].id | https://openalex.org/F4320321885 |
| funders[0].ror | https://ror.org/03kt66j61 |
| funders[0].display_name | Science and Technology Commission of Shanghai Municipality |
| is_xpac | False |
| apc_list.value | 2300 |
| apc_list.currency | CHF |
| apc_list.value_usd | 2490 |
| apc_paid.value | 2300 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 2490 |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7330905199050903 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C152124472 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6236481666564941 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1204361 |
| concepts[1].display_name | Redundancy (engineering) |
| concepts[2].id | https://openalex.org/C123657996 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5412499308586121 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q12271 |
| concepts[2].display_name | Architecture |
| concepts[3].id | https://openalex.org/C47796450 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5153326392173767 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q508378 |
| concepts[3].display_name | Intelligent transportation system |
| concepts[4].id | https://openalex.org/C120314980 |
| concepts[4].level | 1 |
| concepts[4].score | 0.454652339220047 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q180634 |
| concepts[4].display_name | Distributed computing |
| concepts[5].id | https://openalex.org/C2778864079 |
| concepts[5].level | 3 |
| concepts[5].score | 0.4296025335788727 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q173285 |
| concepts[5].display_name | Digital data |
| concepts[6].id | https://openalex.org/C22212356 |
| concepts[6].level | 1 |
| concepts[6].score | 0.14959457516670227 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q775325 |
| concepts[6].display_name | Transport engineering |
| concepts[7].id | https://openalex.org/C127413603 |
| concepts[7].level | 0 |
| concepts[7].score | 0.14479440450668335 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[7].display_name | Engineering |
| concepts[8].id | https://openalex.org/C31258907 |
| concepts[8].level | 1 |
| concepts[8].score | 0.1383095383644104 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1301371 |
| concepts[8].display_name | Computer network |
| concepts[9].id | https://openalex.org/C557945733 |
| concepts[9].level | 2 |
| concepts[9].score | 0.13709288835525513 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q389772 |
| concepts[9].display_name | Data transmission |
| concepts[10].id | https://openalex.org/C111919701 |
| concepts[10].level | 1 |
| concepts[10].score | 0.07578274607658386 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[10].display_name | Operating system |
| concepts[11].id | https://openalex.org/C153349607 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q36649 |
| concepts[11].display_name | Visual arts |
| concepts[12].id | https://openalex.org/C142362112 |
| concepts[12].level | 0 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q735 |
| concepts[12].display_name | Art |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.7330905199050903 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/redundancy |
| keywords[1].score | 0.6236481666564941 |
| keywords[1].display_name | Redundancy (engineering) |
| keywords[2].id | https://openalex.org/keywords/architecture |
| keywords[2].score | 0.5412499308586121 |
| keywords[2].display_name | Architecture |
| keywords[3].id | https://openalex.org/keywords/intelligent-transportation-system |
| keywords[3].score | 0.5153326392173767 |
| keywords[3].display_name | Intelligent transportation system |
| keywords[4].id | https://openalex.org/keywords/distributed-computing |
| keywords[4].score | 0.454652339220047 |
| keywords[4].display_name | Distributed computing |
| keywords[5].id | https://openalex.org/keywords/digital-data |
| keywords[5].score | 0.4296025335788727 |
| keywords[5].display_name | Digital data |
| keywords[6].id | https://openalex.org/keywords/transport-engineering |
| keywords[6].score | 0.14959457516670227 |
| keywords[6].display_name | Transport engineering |
| keywords[7].id | https://openalex.org/keywords/engineering |
| keywords[7].score | 0.14479440450668335 |
| keywords[7].display_name | Engineering |
| keywords[8].id | https://openalex.org/keywords/computer-network |
| keywords[8].score | 0.1383095383644104 |
| keywords[8].display_name | Computer network |
| keywords[9].id | https://openalex.org/keywords/data-transmission |
| keywords[9].score | 0.13709288835525513 |
| keywords[9].display_name | Data transmission |
| keywords[10].id | https://openalex.org/keywords/operating-system |
| keywords[10].score | 0.07578274607658386 |
| keywords[10].display_name | Operating system |
| language | en |
| locations[0].id | doi:10.3390/app13031923 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210205812 |
| locations[0].source.issn | 2076-3417 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2076-3417 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Applied Sciences |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.mdpi.com/2076-3417/13/3/1923/pdf?version=1675326239 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Applied Sciences |
| locations[0].landing_page_url | https://doi.org/10.3390/app13031923 |
| locations[1].id | pmh:oai:doaj.org/article:1ba1a08163a74c0e9df8dad2e61eb760 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306401280 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | Applied Sciences, Vol 13, Iss 3, p 1923 (2023) |
| locations[1].landing_page_url | https://doaj.org/article/1ba1a08163a74c0e9df8dad2e61eb760 |
| locations[2].id | pmh:oai:mdpi.com:/2076-3417/13/3/1923/ |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306400947 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | True |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | MDPI (MDPI AG) |
| locations[2].source.host_organization | https://openalex.org/I4210097602 |
| locations[2].source.host_organization_name | Multidisciplinary Digital Publishing Institute (Switzerland) |
| locations[2].source.host_organization_lineage | https://openalex.org/I4210097602 |
| locations[2].license | cc-by |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Pages: 1923 |
| locations[2].landing_page_url | https://dx.doi.org/10.3390/app13031923 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5029216066 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Xihou Zhang |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I24943067 |
| authorships[0].affiliations[0].raw_affiliation_string | School of Information Science and Technology, Fudan University, Shanghai 200433, China |
| authorships[0].institutions[0].id | https://openalex.org/I24943067 |
| authorships[0].institutions[0].ror | https://ror.org/013q1eq08 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I24943067 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Fudan University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Xihou Zhang |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | School of Information Science and Technology, Fudan University, Shanghai 200433, China |
| authorships[1].author.id | https://openalex.org/A5065275103 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-0963-6286 |
| authorships[1].author.display_name | Dingding Han |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210100255, https://openalex.org/I4391012619 |
| authorships[1].affiliations[0].raw_affiliation_string | Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China |
| authorships[1].affiliations[1].institution_ids | https://openalex.org/I24943067 |
| authorships[1].affiliations[1].raw_affiliation_string | School of Information Science and Technology, Fudan University, Shanghai 200433, China |
| authorships[1].institutions[0].id | https://openalex.org/I4391012619 |
| authorships[1].institutions[0].ror | https://ror.org/03wkvpx79 |
| authorships[1].institutions[0].type | facility |
| authorships[1].institutions[0].lineage | https://openalex.org/I4391012619 |
| authorships[1].institutions[0].country_code | |
| authorships[1].institutions[0].display_name | Shanghai Artificial Intelligence Laboratory |
| authorships[1].institutions[1].id | https://openalex.org/I4210100255 |
| authorships[1].institutions[1].ror | https://ror.org/016a74861 |
| authorships[1].institutions[1].type | other |
| authorships[1].institutions[1].lineage | https://openalex.org/I4210100255 |
| authorships[1].institutions[1].country_code | CN |
| authorships[1].institutions[1].display_name | Beijing Academy of Artificial Intelligence |
| authorships[1].institutions[2].id | https://openalex.org/I24943067 |
| authorships[1].institutions[2].ror | https://ror.org/013q1eq08 |
| authorships[1].institutions[2].type | education |
| authorships[1].institutions[2].lineage | https://openalex.org/I24943067 |
| authorships[1].institutions[2].country_code | CN |
| authorships[1].institutions[2].display_name | Fudan University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Dingding Han |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | School of Information Science and Technology, Fudan University, Shanghai 200433, China, Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China |
| authorships[2].author.id | https://openalex.org/A5102970418 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-1603-5414 |
| authorships[2].author.display_name | Xiaobo Zhang |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I3133055985 |
| authorships[2].affiliations[0].raw_affiliation_string | Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China |
| authorships[2].institutions[0].id | https://openalex.org/I3133055985 |
| authorships[2].institutions[0].ror | https://ror.org/05hfa4n20 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I3133055985 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Westlake University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Xiaobo Zhang |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou 310024, China |
| authorships[3].author.id | https://openalex.org/A5063552278 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Le-Heng Fang |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I24943067 |
| authorships[3].affiliations[0].raw_affiliation_string | Academy for Engineering and Technology, Fudan University, Shanghai 200433, China |
| authorships[3].institutions[0].id | https://openalex.org/I24943067 |
| authorships[3].institutions[0].ror | https://ror.org/013q1eq08 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I24943067 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Fudan University |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Leheng Fang |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Academy for Engineering and Technology, Fudan University, Shanghai 200433, China |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.mdpi.com/2076-3417/13/3/1923/pdf?version=1675326239 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Design and Application of Intelligent Transportation Multi-Source Data Collaboration Framework Based on Digital Twins |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10763 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9846000075340271 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2209 |
| primary_topic.subfield.display_name | Industrial and Manufacturing Engineering |
| primary_topic.display_name | Digital Transformation in Industry |
| related_works | https://openalex.org/W2494338568, https://openalex.org/W1495042958, https://openalex.org/W2122678784, https://openalex.org/W2282510344, https://openalex.org/W139987158, https://openalex.org/W2183994405, https://openalex.org/W1875646599, https://openalex.org/W1976807322, https://openalex.org/W2349023125, https://openalex.org/W1872497593 |
| cited_by_count | 18 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 8 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 4 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 6 |
| locations_count | 3 |
| best_oa_location.id | doi:10.3390/app13031923 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210205812 |
| best_oa_location.source.issn | 2076-3417 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2076-3417 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Applied Sciences |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.mdpi.com/2076-3417/13/3/1923/pdf?version=1675326239 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Applied Sciences |
| best_oa_location.landing_page_url | https://doi.org/10.3390/app13031923 |
| primary_location.id | doi:10.3390/app13031923 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210205812 |
| primary_location.source.issn | 2076-3417 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2076-3417 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Applied Sciences |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/2076-3417/13/3/1923/pdf?version=1675326239 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Applied Sciences |
| primary_location.landing_page_url | https://doi.org/10.3390/app13031923 |
| publication_date | 2023-02-02 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W4224311703, https://openalex.org/W2047355416, https://openalex.org/W2991817166, https://openalex.org/W3048296440, https://openalex.org/W3211794639, https://openalex.org/W2910597635, https://openalex.org/W2980595852, https://openalex.org/W2755214325, https://openalex.org/W2883063643, https://openalex.org/W2907217701, https://openalex.org/W2782635905, https://openalex.org/W1999110238, https://openalex.org/W4200087694, https://openalex.org/W3185102712, https://openalex.org/W4285028318, https://openalex.org/W2345172924, https://openalex.org/W2116272996, https://openalex.org/W2031674781, https://openalex.org/W1971402834, https://openalex.org/W3134691581, https://openalex.org/W2997530007, https://openalex.org/W2775292876, https://openalex.org/W2522123397, https://openalex.org/W3138747940, https://openalex.org/W2883519237, https://openalex.org/W6729770545, https://openalex.org/W1988726303, https://openalex.org/W2065429801 |
| referenced_works_count | 28 |
| abstract_inverted_index.a | 11, 52, 118 |
| abstract_inverted_index.an | 37 |
| abstract_inverted_index.at | 17 |
| abstract_inverted_index.by | 94 |
| abstract_inverted_index.in | 60, 127, 136 |
| abstract_inverted_index.is | 62, 92 |
| abstract_inverted_index.of | 14, 21, 29, 89, 103 |
| abstract_inverted_index.on | 46 |
| abstract_inverted_index.to | 43, 97 |
| abstract_inverted_index.For | 64 |
| abstract_inverted_index.ITS | 61 |
| abstract_inverted_index.The | 0 |
| abstract_inverted_index.all | 133 |
| abstract_inverted_index.and | 25, 56, 75, 77, 81, 109, 129 |
| abstract_inverted_index.for | 54, 83, 123, 140 |
| abstract_inverted_index.low | 26 |
| abstract_inverted_index.new | 119 |
| abstract_inverted_index.the | 7, 18, 47, 72, 79, 87, 90, 99, 130 |
| abstract_inverted_index.ITS, | 128 |
| abstract_inverted_index.ITS. | 44 |
| abstract_inverted_index.This | 115 |
| abstract_inverted_index.case | 95 |
| abstract_inverted_index.data | 22, 58, 84, 120, 134 |
| abstract_inverted_index.have | 5 |
| abstract_inverted_index.idea | 122 |
| abstract_inverted_index.made | 6 |
| abstract_inverted_index.mine | 98 |
| abstract_inverted_index.rate | 28 |
| abstract_inverted_index.this | 34, 68 |
| abstract_inverted_index.twin | 40, 50, 125, 138 |
| abstract_inverted_index.Based | 45 |
| abstract_inverted_index.data, | 104 |
| abstract_inverted_index.data. | 15 |
| abstract_inverted_index.human | 106 |
| abstract_inverted_index.large | 12 |
| abstract_inverted_index.paper | 35, 69, 116 |
| abstract_inverted_index.types | 23, 135 |
| abstract_inverted_index.urban | 2 |
| abstract_inverted_index.using | 112 |
| abstract_inverted_index.(ITS), | 33 |
| abstract_inverted_index.Aiming | 16 |
| abstract_inverted_index.amount | 13 |
| abstract_inverted_index.covers | 132 |
| abstract_inverted_index.fusion | 121 |
| abstract_inverted_index.static | 57 |
| abstract_inverted_index.system | 9 |
| abstract_inverted_index.travel | 107 |
| abstract_inverted_index.twins. | 114 |
| abstract_inverted_index.capture | 105 |
| abstract_inverted_index.current | 19 |
| abstract_inverted_index.designs | 78 |
| abstract_inverted_index.digital | 39, 49, 113, 124, 137 |
| abstract_inverted_index.dynamic | 55 |
| abstract_inverted_index.methods | 74 |
| abstract_inverted_index.require | 10 |
| abstract_inverted_index.scopes, | 76 |
| abstract_inverted_index.studies | 96 |
| abstract_inverted_index.systems | 32, 126, 139 |
| abstract_inverted_index.traffic | 3 |
| abstract_inverted_index.various | 65 |
| abstract_inverted_index.Finally, | 86 |
| abstract_inverted_index.improved | 38, 48 |
| abstract_inverted_index.mapping. | 85 |
| abstract_inverted_index.methods, | 67 |
| abstract_inverted_index.problems | 4, 20 |
| abstract_inverted_index.proposes | 36 |
| abstract_inverted_index.provides | 117 |
| abstract_inverted_index.verified | 93 |
| abstract_inverted_index.analysis. | 142 |
| abstract_inverted_index.describes | 71 |
| abstract_inverted_index.framework | 53, 80, 91, 131 |
| abstract_inverted_index.visualize | 110 |
| abstract_inverted_index.applicable | 42 |
| abstract_inverted_index.increasing | 1 |
| abstract_inverted_index.interfaces | 82 |
| abstract_inverted_index.redundancy | 24 |
| abstract_inverted_index.intelligent | 30 |
| abstract_inverted_index.architecture | 41 |
| abstract_inverted_index.constructed. | 63 |
| abstract_inverted_index.coordination | 27 |
| abstract_inverted_index.distribution | 101 |
| abstract_inverted_index.specifically | 70 |
| abstract_inverted_index.architecture, | 51 |
| abstract_inverted_index.collaboration | 59, 66, 73 |
| abstract_inverted_index.effectiveness | 88 |
| abstract_inverted_index.intersections | 111 |
| abstract_inverted_index.spatiotemporal | 100 |
| abstract_inverted_index.transportation | 8, 31 |
| abstract_inverted_index.characteristics | 102 |
| abstract_inverted_index.characteristics, | 108 |
| abstract_inverted_index.cross-integration | 141 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 97 |
| corresponding_author_ids | https://openalex.org/A5065275103 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I24943067, https://openalex.org/I4210100255, https://openalex.org/I4391012619 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.800000011920929 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.9409975 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |