{"id":"https://openalex.org/W4321064003","doi":"https://doi.org/10.1109/wcsp55476.2022.10039416","title":"Low-Cost Traffic Perception for Road Detector Data Estimation: A Deep Learning Approach","display_name":"Low-Cost Traffic Perception for Road Detector Data Estimation: A Deep Learning Approach","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4321064003","doi":"https://doi.org/10.1109/wcsp55476.2022.10039416"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp55476.2022.10039416","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcsp55476.2022.10039416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5085072800","display_name":"Caoyi Zha","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caoyi Zha","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035878200","display_name":"Jianzhe Xue","orcid":"https://orcid.org/0009-0007-7278-9177"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhe Xue","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034410301","display_name":"Qinghong Shen","orcid":"https://orcid.org/0000-0003-3104-8659"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghong Shen","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043286765","display_name":"Haibo Zhou","orcid":"https://orcid.org/0000-0002-6549-8917"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Zhou","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University,Nanjing,China,210023"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University,Nanjing,China,210023","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":1.041,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76564249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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/T10524","display_name":"Traffic control and management","score":0.9890000224113464,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7518971562385559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6486971378326416},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.6318175196647644},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.6011452078819275},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5396658778190613},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.49403148889541626},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4463992714881897},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4387196898460388},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.43382522463798523},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3740180432796478},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.23235604166984558},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2323099672794342},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21142667531967163},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.1636044681072235},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10463792085647583},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09025755524635315}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7518971562385559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6486971378326416},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.6318175196647644},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6011452078819275},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5396658778190613},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.49403148889541626},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4463992714881897},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4387196898460388},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.43382522463798523},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3740180432796478},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.23235604166984558},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2323099672794342},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21142667531967163},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.1636044681072235},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10463792085647583},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09025755524635315},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp55476.2022.10039416","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wcsp55476.2022.10039416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1075415317","display_name":null,"funder_award_id":"BK20220067","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G6929525512","display_name":null,"funder_award_id":"62271244,61871211","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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2011504567","https://openalex.org/W2017555143","https://openalex.org/W2032152634","https://openalex.org/W2080340916","https://openalex.org/W2111347019","https://openalex.org/W2802508687","https://openalex.org/W2901504064","https://openalex.org/W3009536125","https://openalex.org/W3022798778","https://openalex.org/W4226434924","https://openalex.org/W4385245566","https://openalex.org/W6676732145"],"related_works":["https://openalex.org/W141508452","https://openalex.org/W2047739511","https://openalex.org/W4220875044","https://openalex.org/W2007277743","https://openalex.org/W2913114592","https://openalex.org/W3157260122","https://openalex.org/W2322247726","https://openalex.org/W4320879016","https://openalex.org/W4206269847","https://openalex.org/W2317459805"],"abstract_inverted_index":{"The":[0,153],"road":[1,65,84,89,101,140,177],"network":[2,41,102,141,178],"data":[3,118,126],"collected":[4],"by":[5],"the":[6,13,23,54,64,72,75,80,97,100,110,117,120,125,128,133,144,165,170,174,180],"traffic":[7,28,32,40,85,171],"detection":[8],"system":[9],"is":[10,34,50,113,159],"essential":[11],"to":[12,26,52,57,103,115,148,161,168],"modern":[14],"intelligent":[15],"transportation":[16],"systems":[17],"(ITS).":[18],"Generally,":[19],"roadside":[20],"sensors":[21,55,98,123],"are":[22],"primary":[24],"approach":[25],"obtaining":[27,38],"data.":[29,152],"However,":[30],"low-cost":[31,59],"sensing":[33],"a":[35,94,105,138],"challenge":[36],"as":[37],"complete":[39],"information":[42],"often":[43],"requires":[44],"expensive":[45],"detector":[46,60,151,167],"equipment.":[47],"Therefore,":[48],"it":[49,158],"critical":[51],"deploy":[53],"sparsely":[56],"obtain":[58,104],"deployment":[61],"methods":[62],"on":[63],"network.":[66],"In":[67,132],"this":[68],"paper,":[69],"we":[70,92,136],"investigate":[71],"relationship":[73],"between":[74],"sparsity":[76],"of":[77,83,96,119,127,164,173],"detectors":[78],"and":[79,179],"perceived":[81],"accuracy":[82,182],"flow":[86],"in":[87,99,143],"urban":[88,176],"networks.":[90],"Specifically,":[91],"remove":[93],"portion":[95],"sparse":[106],"sensor":[107],"layout.":[108],"Then,":[109],"transformer":[111],"algorithm":[112],"used":[114],"estimate":[116],"removed":[121],"virtual":[122,150],"from":[124],"unremoved":[129],"actual":[130],"sensors.":[131],"simulation":[134,146,154],"experiment,":[135],"build":[137],"classic":[139],"model":[142],"AIMSUN":[145],"software":[147],"recover":[149],"results":[155],"verify":[156],"that":[157],"possible":[160],"use":[162],"35%":[163],"original":[166],"monitor":[169],"condition":[172],"whole":[175],"estimation":[181],"can":[183],"reach":[184],"3":[185],"m/s.":[186]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}