{"id":"https://openalex.org/W4210913232","doi":"https://doi.org/10.1109/tits.2022.3147211","title":"Optimized Large-Scale Road Sensing Through Crowdsourced Vehicles","display_name":"Optimized Large-Scale Road Sensing Through Crowdsourced Vehicles","publication_year":2022,"publication_date":"2022-02-08","ids":{"openalex":"https://openalex.org/W4210913232","doi":"https://doi.org/10.1109/tits.2022.3147211"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3147211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3147211","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/A5085904657","display_name":"Yongxuan Lai","orcid":"https://orcid.org/0000-0002-2883-0781"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxuan Lai","raw_affiliation_strings":["Department of Software, School of Informatics, Xiamen University, Xiamen, China","Shenzhen Research Institute, Xiamen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2883-0781","affiliations":[{"raw_affiliation_string":"Department of Software, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Shenzhen Research Institute, Xiamen University, Shenzhen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033288534","display_name":"Yifan Xu","orcid":"https://orcid.org/0000-0001-9965-0086"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Xu","raw_affiliation_strings":["Department of Software, School of Informatics, Xiamen University, Xiamen, China","Shenzhen Research Institute, Xiamen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Shenzhen Research Institute, Xiamen University, Shenzhen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083460519","display_name":"Duojian Mai","orcid":null},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duojian Mai","raw_affiliation_strings":["Department of Software, School of Informatics, Xiamen University, Xiamen, China","Shenzhen Research Institute, Xiamen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software, School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"Shenzhen Research Institute, Xiamen University, Shenzhen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101739242","display_name":"Yi Fan","orcid":"https://orcid.org/0009-0000-5360-5263"},"institutions":[{"id":"https://openalex.org/I4210167317","display_name":"Qiannan Normal College For Nationalities","ror":"https://ror.org/05szpc322","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210167317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Fan","raw_affiliation_strings":["Key Laboratory of Complex Systems and Intelligent Computing, School of Mathematics and Statistics, Qiannan Normal University for Nationalities, Duyun, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Complex Systems and Intelligent Computing, School of Mathematics and Statistics, Qiannan Normal University for Nationalities, Duyun, China","institution_ids":["https://openalex.org/I4210167317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045825296","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0002-3523-1138"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Department of Automation and the Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision-Marking, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-3523-1138","affiliations":[{"raw_affiliation_string":"Department of Automation and the Xiamen Key Laboratory of Big Data Intelligent Analysis and Decision-Marking, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.86,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.85004008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"23","issue":"4","first_page":"3878","last_page":"3889"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9983000159263611,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/scale","display_name":"Scale (ratio)","score":0.5965428352355957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46316656470298767},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.41385072469711304},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3530772030353546},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.329115629196167},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27882176637649536},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23919245600700378},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12829837203025818}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5965428352355957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46316656470298767},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.41385072469711304},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3530772030353546},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.329115629196167},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27882176637649536},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23919245600700378},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12829837203025818}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3147211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3147211","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":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G296933058","display_name":null,"funder_award_id":"2018J01097","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G5073886139","display_name":null,"funder_award_id":"2021A1515011578","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7156967911","display_name":null,"funder_award_id":"61872154","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/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W71901835","https://openalex.org/W1553085258","https://openalex.org/W1575958115","https://openalex.org/W1595564818","https://openalex.org/W1969483458","https://openalex.org/W1977656351","https://openalex.org/W1990506173","https://openalex.org/W1994413287","https://openalex.org/W2006974280","https://openalex.org/W2023835067","https://openalex.org/W2025948280","https://openalex.org/W2036265926","https://openalex.org/W2039482292","https://openalex.org/W2047995930","https://openalex.org/W2049521316","https://openalex.org/W2079336140","https://openalex.org/W2082183570","https://openalex.org/W2100782160","https://openalex.org/W2114483011","https://openalex.org/W2127970560","https://openalex.org/W2131058166","https://openalex.org/W2170918595","https://openalex.org/W2185680923","https://openalex.org/W2315865805","https://openalex.org/W2323572253","https://openalex.org/W2329105431","https://openalex.org/W2353663599","https://openalex.org/W2473536663","https://openalex.org/W2495515310","https://openalex.org/W2522186013","https://openalex.org/W2570263810","https://openalex.org/W2623293810","https://openalex.org/W2625215447","https://openalex.org/W2776709747","https://openalex.org/W2892203660","https://openalex.org/W2896628661","https://openalex.org/W2901454088","https://openalex.org/W2922336629","https://openalex.org/W2944810452"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2139939267","https://openalex.org/W1974511032"],"abstract_inverted_index":{"Modern":[0],"vehicles":[1],"are":[2,178],"gradually":[3],"becoming":[4],"powerful":[5],"mobile":[6],"sensing,":[7,106],"communication,":[8],"computing":[9],"and":[10,29,34,47,74,117,138,166,202,223,232],"storage":[11],"platforms,":[12],"which":[13,107,131,186],"bring":[14],"about":[15],"the":[16,44,52,69,79,82,104,145,183,189,207,210,217,227],"concept":[17],"of":[18,72,81,103,109,209],"vehicular":[19,45,105,135,228],"urban":[20,54,152,171,195],"sensing":[21,46,56,83,127,172,184],"that":[22,216],"leverages":[23],"sensor":[24],"nodes":[25],"as":[26,160],"an":[27],"effective":[28],"affordable":[30],"solution":[31],"for":[32,148],"large-scale":[33,53,149],"fine-grained":[35],"sensing.":[36,196],"And":[37],"there":[38],"is":[39,132,158,174],"a":[40,92,122,161,167],"trend":[41],"to":[42,50,60,66,76,142,192],"combine":[43],"outsourcing":[48],"technologies":[49],"solve":[51,226],"road":[55,153],"problem.":[57],"However,":[58],"how":[59,65,75],"select":[61],"appropriate":[62],"participated":[63],"vehicles,":[64,73],"least":[67,179],"interrupt":[68],"original":[70],"routes":[71],"actively":[77],"maximize":[78],"benefit":[80],"remain":[84],"challenging":[85],"problems.":[86],"In":[87],"this":[88],"paper,":[89],"we":[90],"introduce":[91],"Crowdsourced":[93],"Vehicular":[94],"Sensing":[95],"(CVS)":[96],"framework":[97],"based":[98,198],"on":[99,199],"more":[100],"realistic":[101],"assumptions":[102],"consists":[108],"three":[110],"steps:":[111],"vehicle":[112],"recruitment,":[113],"candidate":[114],"path":[115,118],"calculation,":[116],"computing.":[119],"We":[120],"define":[121],"<italic":[123,168],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[124,169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">maximal":[125],"weighted":[126],"paths</i>":[128],"(MWSP)":[129],"problem,":[130,165],"NP-Complete,":[133],"in":[134,151,194],"crowdsensing":[136,150,229],"scenario":[137],"use":[139],"heuristic":[140],"methods":[141],"speed":[143],"up":[144],"solving":[146],"process":[147],"networks.":[154],"The":[155,213],"MWSP":[156],"problem":[157,230],"formulated":[159],"maximal":[162],"satisfiability":[163],"(MaxSAT)":[164],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">least-interrupted</i>":[170],"strategy":[173],"adopted.":[175],"So":[176],"trips":[177],"disrupted":[180],"when":[181],"conducting":[182],"tasks,":[185],"would":[187],"increase":[188],"drivers\u2019":[190],"willingness":[191],"participate":[193],"Experiments":[197],"real-world":[200],"road-network":[201],"historical":[203],"origin-destination":[204],"datasets":[205],"verify":[206],"effectiveness":[208],"proposed":[211,218],"method.":[212],"results":[214],"show":[215],"algorithm":[219],"outperforms":[220],"other":[221],"solutions":[222],"it":[224],"can":[225],"effectively":[231],"efficiently.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
