{"id":"https://openalex.org/W4408323609","doi":"https://doi.org/10.1109/tits.2025.3547484","title":"Toward City-Scale Vehicular Crowd Sensing: A Decentralized Framework for Online Participant Recruitment","display_name":"Toward City-Scale Vehicular Crowd Sensing: A Decentralized Framework for Online Participant Recruitment","publication_year":2025,"publication_date":"2025-03-11","ids":{"openalex":"https://openalex.org/W4408323609","doi":"https://doi.org/10.1109/tits.2025.3547484"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3547484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3547484","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/A5080281559","display_name":"Han Jiang","orcid":"https://orcid.org/0000-0003-3222-4140"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han Jiang","raw_affiliation_strings":["State Key Laboratory of Intelligent Transportation System, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3222-4140","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Transportation System, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084370885","display_name":"Yilong Ren","orcid":"https://orcid.org/0000-0003-3504-8963"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yilong Ren","raw_affiliation_strings":["State Key Laboratory of Intelligent Transportation System, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3504-8963","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Transportation System, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001885807","display_name":"Yanan Zhao","orcid":"https://orcid.org/0000-0001-9568-6831"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanan Zhao","raw_affiliation_strings":["State Key Laboratory of Intelligent Transportation System, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9568-6831","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Transportation System, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045024616","display_name":"Zhiyong Cui","orcid":"https://orcid.org/0000-0002-5780-4312"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiyong Cui","raw_affiliation_strings":["State Key Laboratory of Intelligent Transportation System, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5780-4312","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Transportation System, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086740564","display_name":"Haiyang Yu","orcid":"https://orcid.org/0000-0002-0704-7077"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haiyang Yu","raw_affiliation_strings":["State Key Laboratory of Intelligent Transportation System, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0704-7077","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Transportation System, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.6086,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.98908782,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"26","issue":"10","first_page":"17800","last_page":"17813"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9994000196456909,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9865000247955322,"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"}},{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.6026917695999146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.504468560218811},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4472914934158325},{"id":"https://openalex.org/keywords/crowd-sourcing","display_name":"Crowd sourcing","score":0.4142584204673767},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.30617058277130127},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.23057493567466736},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16930311918258667}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6026917695999146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.504468560218811},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4472914934158325},{"id":"https://openalex.org/C3018396927","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowd sourcing","level":2,"score":0.4142584204673767},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30617058277130127},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.23057493567466736},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16930311918258667},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3547484","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3547484","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":0.5099999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1008200509","display_name":null,"funder_award_id":"2022YFB4300400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2516948806","https://openalex.org/W2594644857","https://openalex.org/W2736287601","https://openalex.org/W2893733132","https://openalex.org/W2904079642","https://openalex.org/W2943603304","https://openalex.org/W2988271512","https://openalex.org/W2998186469","https://openalex.org/W3006359196","https://openalex.org/W3011697356","https://openalex.org/W3036230618","https://openalex.org/W3036738089","https://openalex.org/W3038721634","https://openalex.org/W3080373606","https://openalex.org/W3080592791","https://openalex.org/W3090782806","https://openalex.org/W3113301408","https://openalex.org/W3120361224","https://openalex.org/W3151723181","https://openalex.org/W3153997965","https://openalex.org/W3159063852","https://openalex.org/W3174259088","https://openalex.org/W3178950966","https://openalex.org/W3202838049","https://openalex.org/W3213533873","https://openalex.org/W4205232278","https://openalex.org/W4210913232","https://openalex.org/W4211202585","https://openalex.org/W4212788507","https://openalex.org/W4285303920","https://openalex.org/W4286252367","https://openalex.org/W4288773268","https://openalex.org/W4312386698","https://openalex.org/W4312493739","https://openalex.org/W4321609790","https://openalex.org/W4384080876","https://openalex.org/W4386078210","https://openalex.org/W4390075244","https://openalex.org/W4400520489","https://openalex.org/W4402350361"],"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/W2178843214","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"As":[0],"an":[1],"emerging":[2],"urban":[3,41],"computing":[4],"paradigm,":[5],"vehicle":[6],"crowd":[7],"sensing":[8,15,29,160],"(VCS)":[9],"leverages":[10],"ubiquitous":[11],"vehicles":[12,36,85,103,111],"as":[13],"basic":[14],"units":[16],"to":[17,104,156,174,179,190],"achieve":[18,57],"more":[19],"efficient":[20,58],"data":[21,183],"collection.":[22],"However,":[23],"with":[24,122,152],"the":[25,28,31,38,88,92,99,105,108,123,127,169,176,192,198,233],"expansion":[26],"of":[27,33,35,40,101,107,110,129,139,197],"range,":[30],"tens":[32],"thousands":[34],"and":[37,182,194,219,236],"openness":[39],"road":[42,202],"networks":[43],"pose":[44],"a":[45,65,75,142,204],"huge":[46],"challenge":[47],"for":[48,68],"real-time":[49],"participant":[50,70,132],"recruitment":[51,100,133],"in":[52,87,112,186,232],"online":[53,69],"VCS":[54,131,235],"systems.":[55],"To":[56],"city-scale":[59,130],"VCS,":[60],"this":[61,167],"paper":[62],"proposes":[63],"Dec-Recruiter,":[64],"decentralized":[66],"framework":[67],"recruitment.":[71],"Specifically,":[72],"Dec-Recruiter":[73,140,226],"adopts":[74],"novel":[76],"decision-making":[77],"mode":[78],"based":[79],"on":[80,158,200,216],"virtual":[81],"grid":[82,94,120,150],"agents,":[83],"where":[84],"traveling":[86],"same":[89,93,124],"direction":[90],"within":[91],"are":[95],"considered":[96],"homogeneous,":[97],"simplifying":[98],"specific":[102],"selection":[106],"number":[109],"each":[113],"direction.":[114],"Meanwhile,":[115],"through":[116,162],"policy":[117],"sharing":[118],"among":[119],"agents":[121,151],"geographic":[125,154],"features,":[126],"complexity":[128],"is":[134,141,172,209],"further":[135],"reduced.":[136],"The":[137,222],"core":[138],"multi-agent":[143],"contextual":[144],"double-deep":[145],"Q-network":[146],"algorithm,":[147],"which":[148],"enables":[149],"different":[153],"features":[155],"collaborate":[157],"network-wide":[159],"tasks":[161],"their":[163],"asynchronous":[164],"decision-making.":[165],"In":[166,188],"process,":[168],"Gaussian":[170],"function":[171],"employed":[173],"adjust":[175],"reward":[177],"distribution":[178],"address":[180],"cold-start":[181],"integrity":[184],"issues":[185],"VCS.":[187],"addition,":[189],"ensure":[191],"convergence":[193],"training":[195],"efficiency":[196],"model":[199],"large-scale":[201,234],"networks,":[203],"pre-training-based":[205],"transfer":[206],"learning":[207],"paradigm":[208],"also":[210],"introduced.":[211],"We":[212],"conduct":[213],"extensive":[214],"experiments":[215],"both":[217],"synthetic":[218],"real-world":[220],"datasets.":[221],"results":[223],"demonstrate":[224],"that":[225],"can":[227],"effectively":[228],"recruit":[229],"appropriate":[230],"participants":[231],"outperforms":[237],"all":[238],"baselines.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":12}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}