{"id":"https://openalex.org/W4320024131","doi":"https://doi.org/10.1109/bigdata55660.2022.10021027","title":"Regional Immersive Light Guidance in a Digital Twin System for Tunnel Traffic","display_name":"Regional Immersive Light Guidance in a Digital Twin System for Tunnel Traffic","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4320024131","doi":"https://doi.org/10.1109/bigdata55660.2022.10021027"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10021027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10021027","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100928141","display_name":"Hongrui Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119597","display_name":"Shanghai Research Institute of Building Sciences (China)","ror":"https://ror.org/01w2qw957","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210119597"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongrui Zhao","raw_affiliation_strings":["Shanghai Sansi Electronic Engineering Company Ltd.,Office of Research Institute,Shanghai,China","Office of Research Institute, Shanghai Sansi Electronic Engineering Company Ltd., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Sansi Electronic Engineering Company Ltd.,Office of Research Institute,Shanghai,China","institution_ids":["https://openalex.org/I4210119597"]},{"raw_affiliation_string":"Office of Research Institute, Shanghai Sansi Electronic Engineering Company Ltd., Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081359689","display_name":"Yuxi Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210107307","display_name":"SGIDI Engineering Consulting (China)","ror":"https://ror.org/01nzt4j48","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210107307"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxi Jiang","raw_affiliation_strings":["Shanghai Sansi Electronic Engineering Company Ltd.,Institute for System Integration,Shanghai,China","Institute for System Integration, Shanghai Sansi Electronic Engineering Company Ltd., Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Sansi Electronic Engineering Company Ltd.,Institute for System Integration,Shanghai,China","institution_ids":["https://openalex.org/I4210107307"]},{"raw_affiliation_string":"Institute for System Integration, Shanghai Sansi Electronic Engineering Company Ltd., Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100424575","display_name":"Yining Wang","orcid":"https://orcid.org/0000-0001-6441-2002"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yining Wang","raw_affiliation_strings":["Shanghai University,School of Communication and Information Engineering,Shanghai,China","School of Communication and Information Engineering, Shanghai University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University,School of Communication and Information Engineering,Shanghai,China","institution_ids":["https://openalex.org/I113940042"]},{"raw_affiliation_string":"School of Communication and Information Engineering, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5115","last_page":"5120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5912644267082214},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5906950235366821},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5194610953330994},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.4585019052028656},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33479055762290955},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.23924535512924194},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.17409437894821167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16326230764389038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5912644267082214},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5906950235366821},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5194610953330994},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.4585019052028656},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33479055762290955},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.23924535512924194},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.17409437894821167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16326230764389038}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10021027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10021027","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W3203570626","https://openalex.org/W4200150166","https://openalex.org/W4312280420","https://openalex.org/W6791786202","https://openalex.org/W6810171054"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2068608913","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3124914020","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829"],"abstract_inverted_index":{"The":[0,24,96,154,212],"development":[1],"of":[2,19,26,59,130,167,186,197,235,254],"digital":[3,28,61,90,113,128,209,256],"tunnel":[4,32,62,78,106,168,180,192,203,257],"traffic":[5,33,75,107,181,258],"is":[6,15,35,43,93,99,116,157,226,238],"crucial":[7],"to":[8,51,83,100,125,158],"the":[9,20,27,38,46,53,57,60,66,142,151,184,187,191,195,198,202,205,216,245,247,251,255],"intelligent":[10],"transportation":[11],"system":[12,30,92,218],"since":[13],"it":[14],"a":[16,80,89,102,127,160],"significant":[17],"component":[18],"national":[21],"comprehensive":[22],"transportation.":[23],"topic":[25],"twin":[29,91,129,210],"for":[31,104,141,179],"establishment":[34],"established,":[36],"and":[37,69,72,109,122,133,145,150,204,231,250],"regional":[39,84],"immersive":[40,85,176],"light":[41,86,170,177,188,236],"guidance":[42,87,178,237],"taken":[44],"as":[45,65],"technical":[47],"breakthrough":[48],"in":[49,88],"order":[50],"address":[52],"fundamental":[54],"issues":[55],"with":[56,136,194],"construction":[58],"traffic,":[63,79],"such":[64],"backward":[67],"operation":[68],"maintenance":[70,110],"mode,":[71],"unsound":[73],"dynamic":[74,165],"guidance.":[76],"For":[77],"brand-new":[81],"approach":[82],"put":[94],"forth.":[95],"first":[97],"step":[98,156],"create":[101,126,159,174],"platform":[103],"controlling":[105],"operations":[108],"based":[111],"on":[112],"twins.":[114],"It":[115,242],"built":[117],"using":[118],"data":[119],"loading,":[120],"visualization,":[121],"complete":[123],"rendering":[124],"actual":[131,152],"reality":[132],"virtual":[134],"environment":[135],"reciprocal":[137],"mapping.":[138],"This":[139],"allows":[140],"seamless":[143],"merging":[144],"switching":[146],"between":[147],"3D":[148,162],"models":[149],"world.":[153],"second":[155],"localized":[161],"dimming/color":[163],"temperature":[164],"control":[166],"LED":[169],"groups":[171],"that":[172,215],"will":[173],"an":[175],"by":[182,208],"combining":[183],"analysis":[185],"impact":[189],"outside":[190],"entrance":[193],"characteristics":[196],"road":[199],"surface":[200],"inside":[201],"decision":[206],"made":[207],"operation.":[211],"experiment":[213],"verifies":[214],"proposed":[217],"can":[219],"connect":[220],"100000":[221],"peripherals":[222],"whose":[223],"response":[224],"time":[225],"less":[227,239],"than":[228,240],"30":[229],"seconds":[230],"multi-node":[232],"synchronous":[233],"accuracy":[234],"0.2s.":[241],"comprehensively":[243],"promotes":[244],"reliability,":[246],"real-time":[248],"performance":[249],"advanced":[252],"nature":[253],"system.":[259]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}