{"id":"https://openalex.org/W3113868106","doi":"https://doi.org/10.1109/tits.2020.3041950","title":"An Efficient Data Acquisition System for Large Numbers of Various Vehicle Terminals","display_name":"An Efficient Data Acquisition System for Large Numbers of Various Vehicle Terminals","publication_year":2020,"publication_date":"2020-12-22","ids":{"openalex":"https://openalex.org/W3113868106","doi":"https://doi.org/10.1109/tits.2020.3041950","mag":"3113868106"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.3041950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3041950","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","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/A5004608350","display_name":"Shiting Wen","orcid":"https://orcid.org/0000-0002-2055-2553"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiting Wen","raw_affiliation_strings":["Ningbo Institute of Technology, Zhejiang University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-2055-2553","affiliations":[{"raw_affiliation_string":"Ningbo Institute of Technology, Zhejiang University, Ningbo, China","institution_ids":["https://openalex.org/I159389169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006238145","display_name":"Yunjun Gao","orcid":"https://orcid.org/0000-0003-3816-8450"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjun Gao","raw_affiliation_strings":["School of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3816-8450","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021698413","display_name":"Detian Zhang","orcid":"https://orcid.org/0000-0002-9476-0937"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Detian Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Institute of Artificial Intelligence, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9476-0937","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Institute of Artificial Intelligence, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101712379","display_name":"Jinqiu Yang","orcid":"https://orcid.org/0000-0003-4282-406X"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinqiu Yang","raw_affiliation_strings":["Ningbo Institute of Technology, Zhejiang University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo Institute of Technology, Zhejiang University, Ningbo, China","institution_ids":["https://openalex.org/I159389169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404176","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-3370-471X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0003-3370-471X","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004608350"],"corresponding_institution_ids":["https://openalex.org/I159389169"],"apc_list":null,"apc_paid":null,"fwci":0.6519,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.70360458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"23","issue":"5","first_page":"4720","last_page":"4725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9972000122070312,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.7312284111976624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7175491452217102},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6865679025650024},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.6162549257278442},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5812125205993652},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5137770771980286},{"id":"https://openalex.org/keywords/blocking","display_name":"Blocking (statistics)","score":0.5031511187553406},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.49367555975914},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4633524715900421},{"id":"https://openalex.org/keywords/advanced-traffic-management-system","display_name":"Advanced Traffic Management System","score":0.45756226778030396},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4450306296348572},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4448170065879822},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.40159133076667786},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2149142026901245},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.15822046995162964},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14581191539764404},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.09889385104179382}],"concepts":[{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.7312284111976624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7175491452217102},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6865679025650024},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.6162549257278442},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5812125205993652},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5137770771980286},{"id":"https://openalex.org/C144745244","wikidata":"https://www.wikidata.org/wiki/Q4927286","display_name":"Blocking (statistics)","level":2,"score":0.5031511187553406},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.49367555975914},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4633524715900421},{"id":"https://openalex.org/C42693407","wikidata":"https://www.wikidata.org/wiki/Q4686317","display_name":"Advanced Traffic Management System","level":3,"score":0.45756226778030396},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4450306296348572},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4448170065879822},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.40159133076667786},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2149142026901245},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.15822046995162964},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14581191539764404},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.09889385104179382},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2020.3041950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.3041950","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3579177722","display_name":null,"funder_award_id":"LY16F030012","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G4372938714","display_name":null,"funder_award_id":"61702227","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5658983651","display_name":null,"funder_award_id":"61802344","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1510567075","https://openalex.org/W1979697018","https://openalex.org/W1985986451","https://openalex.org/W1991529114","https://openalex.org/W2001245070","https://openalex.org/W2024116261","https://openalex.org/W2108196201","https://openalex.org/W2121816615","https://openalex.org/W2138459266","https://openalex.org/W2295363368","https://openalex.org/W2551738598","https://openalex.org/W2802508687","https://openalex.org/W4241871438","https://openalex.org/W6629027142"],"related_works":["https://openalex.org/W2623111183","https://openalex.org/W2364921833","https://openalex.org/W1608069547","https://openalex.org/W2385146268","https://openalex.org/W2380023786","https://openalex.org/W2546696010","https://openalex.org/W1524809281","https://openalex.org/W1992741870","https://openalex.org/W4304843054","https://openalex.org/W4205621548"],"abstract_inverted_index":{"The":[0],"continuing":[1],"development":[2],"of":[3,23,85,100,116],"intelligent":[4,25],"transportation":[5,26],"terminals":[6,48,87],"and":[7,28,61,107,114],"the":[8,92,111,126,132],"massive":[9],"generated":[10],"traffic":[11,18,43,72,101],"data":[12,19,44,63,73,102],"have":[13],"placed":[14],"tremendous":[15],"pressure":[16],"on":[17,31,38,75,125],"acquisition.":[20],"However,":[21],"most":[22],"existing":[24],"systems":[27],"applications":[29,123],"rely":[30],"well-defined":[32],"data,":[33],"while":[34],"few":[35],"studies":[36],"focus":[37],"how":[39],"to":[40],"collect":[41],"live":[42],"from":[45,81],"various":[46,86],"vehicle":[47],"in":[49,66,88,131],"a":[50,82],"large":[51,83],"number.":[52],"To":[53],"solve":[54],"this":[55,67],"problem,":[56],"we":[57],"propose":[58],"an":[59],"efficient":[60],"non-blocking":[62],"acquisition":[64],"system":[65,128],"paper,":[68],"which":[69],"can":[70,95],"retrieve":[71],"based":[74,124],"different":[76],"priority":[77],"or":[78],"QoS":[79],"requirements":[80],"number":[84],"real-time,":[89],"so":[90],"that":[91],"application":[93],"layer":[94],"easily":[96],"access":[97],"certain":[98],"type":[99],"it":[103],"needs.":[104],"Extensive":[105],"experiment":[106],"simulation":[108],"results":[109],"prove":[110],"efficiency,":[112],"reliability,":[113],"scalability":[115],"our":[117],"proposed":[118,127],"system.":[119],"Besides,":[120],"two":[121],"real":[122],"are":[129],"introduced":[130],"paper.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
