{"id":"https://openalex.org/W7166729153","doi":"https://doi.org/10.48550/arxiv.2606.28384","title":"A Query-Driven Communication-Efficient Digital Twins Design for Autonomous Driving","display_name":"A Query-Driven Communication-Efficient Digital Twins Design for Autonomous Driving","publication_year":2026,"publication_date":"2026-06-22","ids":{"openalex":"https://openalex.org/W7166729153","doi":"https://doi.org/10.48550/arxiv.2606.28384"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.28384","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28384","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.28384","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139702383","display_name":"Nuocheng Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Nuocheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005427216","display_name":"Longyu Zhou","orcid":"https://orcid.org/0000-0002-7702-3193"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Longyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139684617","display_name":"Sihua Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Sihua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139696373","display_name":"Changchuan Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Changchuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139688085","display_name":"Tony Q. S. Quek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quek, Tony Q. S.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.2345000058412552,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.2345000058412552,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.2207999974489212,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.07180000096559525,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/position","display_name":"Position (finance)","score":0.5647000074386597},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5591999888420105},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.536899983882904},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5063999891281128},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.460099995136261},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.4189000129699707},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3668000102043152}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6344000101089478},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5647000074386597},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5591999888420105},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.536899983882904},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5063999891281128},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.46140000224113464},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.460099995136261},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.4189000129699707},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3758000135421753},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3668000102043152},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3603000044822693},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3596999943256378},{"id":"https://openalex.org/C173064807","wikidata":"https://www.wikidata.org/wiki/Q7233190","display_name":"Position error","level":3,"score":0.3580999970436096},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3346000015735626},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3091000020503998},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2815999984741211},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.27000001072883606},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.2635999917984009},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.28384","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28384","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.28384","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28384","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Digital":[0],"twins":[1],"(DTs)":[2],"have":[3],"become":[4],"a":[5,70,118,137],"potential":[6],"technology":[7],"to":[8,49,74,78,101,123,145],"perform":[9],"risk-free":[10],"simulation":[11,90,129],"of":[12,57],"physical":[13],"entities":[14],"for":[15,55,109],"deterministic":[16],"and":[17,27,52,112],"high-reliability":[18],"services":[19],"in":[20,140],"diverse":[21],"scenarios":[22],"such":[23],"as":[24],"autonomous":[25,32,103],"driving":[26,33,104],"low-altitude":[28],"economy.":[29],"In":[30],"the":[31,76,81],"scenario,":[34],"traditional":[35,146],"DT":[36,59,72,77,110],"methods":[37],"that":[38,132],"rely":[39],"solely":[40],"on":[41,88],"vehicle's":[42],"real-time":[43],"state":[44],"synchronization,":[45],"however,":[46],"might":[47],"lead":[48],"unacceptable":[50],"computing":[51],"communication":[53,113,126,150],"consumption":[54],"construction":[56],"high-fidelity":[58],"with":[60],"redundant":[61],"data.":[62],"To":[63],"address":[64],"this":[65],"issue,":[66],"we":[67,93],"first":[68],"propose":[69],"query-driven":[71],"architecture":[73],"enable":[75],"actively":[79],"request":[80],"desired":[82],"environment":[83],"data":[84],"from":[85],"vehicles":[86],"based":[87],"its":[89],"result.":[91],"Then,":[92],"formulate":[94],"an":[95],"optimization":[96],"problem":[97],"whose":[98],"goal":[99],"is":[100],"minimize":[102],"position":[105,142],"error":[106,143],"while":[107,148],"accounting":[108],"fidelity":[111],"constraints.":[114],"We":[115],"also":[116],"design":[117],"cross-time-step":[119],"progressive":[120],"query":[121],"mechanism":[122],"further":[124],"improve":[125],"efficiency.":[127],"The":[128],"results":[130],"show":[131],"our":[133],"proposed":[134],"method":[135],"achieves":[136],"24%":[138],"reduction":[139],"planning":[141],"compared":[144],"methods,":[147],"reducing":[149],"overhead":[151],"by":[152],"40%.":[153]},"counts_by_year":[],"updated_date":"2026-07-01T06:29:00.853634","created_date":"2026-07-01T00:00:00"}