{"id":"https://openalex.org/W2644217638","doi":"https://doi.org/10.1109/tvt.2017.2718043","title":"Duration-Variable Participant Recruitment for Urban Crowdsourcing With Indeterministic Trajectories","display_name":"Duration-Variable Participant Recruitment for Urban Crowdsourcing With Indeterministic Trajectories","publication_year":2017,"publication_date":"2017-06-21","ids":{"openalex":"https://openalex.org/W2644217638","doi":"https://doi.org/10.1109/tvt.2017.2718043","mag":"2644217638"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2017.2718043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2017.2718043","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","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/A5089344837","display_name":"Miao Hu","orcid":"https://orcid.org/0000-0002-1518-002X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Hu","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1518-002X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350955","display_name":"Zhangdui Zhong","orcid":"https://orcid.org/0000-0001-8889-7374"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangdui Zhong","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002187290","display_name":"Yong Niu","orcid":"https://orcid.org/0000-0002-7278-5527"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Niu","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064375676","display_name":"Minming Ni","orcid":"https://orcid.org/0000-0002-4583-0679"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minming Ni","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":2.6282,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.91020896,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"66","issue":"11","first_page":"10271","last_page":"10282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"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":1.0,"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9937000274658203,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9923999905586243,"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/crowdsourcing","display_name":"Crowdsourcing","score":0.8234676718711853},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.806272029876709},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.628057062625885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4433184564113617},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.36140066385269165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24190083146095276},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09074056148529053}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8234676718711853},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.806272029876709},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.628057062625885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4433184564113617},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.36140066385269165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24190083146095276},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09074056148529053},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2017.2718043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2017.2718043","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3825390486","display_name":null,"funder_award_id":"2017M610040","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4120170217","display_name":null,"funder_award_id":"RCS2017ZT009","funder_id":"https://openalex.org/F4320323067","funder_display_name":"State Key Laboratory of Rail Traffic Control and Safety"},{"id":"https://openalex.org/G627548612","display_name":null,"funder_award_id":"61401016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8098188580","display_name":null,"funder_award_id":"RCS2016ZT012","funder_id":"https://openalex.org/F4320323067","funder_display_name":"State Key Laboratory of Rail Traffic Control and Safety"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320323067","display_name":"State Key Laboratory of Rail Traffic Control and Safety","ror":"https://ror.org/01yj56c84"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1553085258","https://openalex.org/W1595564818","https://openalex.org/W1933856690","https://openalex.org/W1970756365","https://openalex.org/W1971537903","https://openalex.org/W1972346388","https://openalex.org/W1973875719","https://openalex.org/W1973923045","https://openalex.org/W1975091065","https://openalex.org/W1985377264","https://openalex.org/W1994788295","https://openalex.org/W2003465916","https://openalex.org/W2004373800","https://openalex.org/W2004912701","https://openalex.org/W2005931801","https://openalex.org/W2018632316","https://openalex.org/W2026427577","https://openalex.org/W2043287819","https://openalex.org/W2056916891","https://openalex.org/W2057526313","https://openalex.org/W2083626523","https://openalex.org/W2086372483","https://openalex.org/W2100502120","https://openalex.org/W2117442907","https://openalex.org/W2122755163","https://openalex.org/W2130890731","https://openalex.org/W2134099854","https://openalex.org/W2157428377","https://openalex.org/W2178280787","https://openalex.org/W2251049298","https://openalex.org/W2571938548","https://openalex.org/W2756347173","https://openalex.org/W4253794406","https://openalex.org/W6633152551","https://openalex.org/W6643553314","https://openalex.org/W6651861086","https://openalex.org/W6672080405","https://openalex.org/W6743986473"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3032998312","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114"],"abstract_inverted_index":{"For":[0],"urban":[1,174],"crowdsourcing":[2,33,79,175],"applications,":[3],"the":[4,15,20,32,42,53,78,83,90,97,120,133,160],"data":[5],"sensing":[6,70,135],"tasks":[7],"can":[8,18],"be":[9,147],"achieved":[10],"by":[11,131],"vehicles":[12,57],"traveling":[13],"on":[14,22,155],"roads,":[16],"which":[17,104,143],"save":[19],"expenses":[21],"constructing":[23],"dedicated":[24],"infrastructures.":[25],"In":[26],"this":[27],"paper,":[28],"to":[29,38,52,76,102,146],"efficiently":[30],"handle":[31],"recruitment":[34,67,93,141],"problem,":[35],"we":[36,88,125],"propose":[37,126],"recruit":[39],"participants":[40],"with":[41,96],"duration-variable":[43,64,91],"principle":[44,65],"and":[45,109,149],"prove":[46],"that":[47,55,159],"it":[48],"performs":[49],"better":[50],"compared":[51],"strategy":[54],"recruits":[56],"for":[58,115,173],"all":[59],"required":[60],"time":[61,74],"periods.":[62],"The":[63],"enables":[66],"of":[68,85,99],"vehicular":[69],"resources":[71],"across":[72],"different":[73],"epochs":[75,112],"maximize":[77],"profits.":[80],"To":[81],"ensure":[82],"utilization":[84,137],"limited":[86],"budget,":[87],"formulate":[89],"participant":[92],"(DPR)":[94],"problem":[95,122],"consideration":[98],"indeterministic":[100],"trajectories":[101],"determine":[103],"vehicle":[105],"subset":[106],"is":[107,123,144],"chosen":[108],"how":[110],"many":[111],"are":[113],"provided":[114],"each":[116,140],"selected":[117],"vehicle.":[118],"Since":[119],"formulated":[121],"NP-hard,":[124],"a":[127],"two-step":[128],"DPR":[129,162],"algorithm":[130],"maximizing":[132],"available":[134],"resource":[136],"efficiency":[138],"in":[139,168],"round,":[142],"shown":[145],"near-optimal":[148],"has":[150],"low":[151],"computational":[152],"complexity.":[153],"Experiments":[154],"real":[156],"traces":[157],"show":[158],"proposed":[161],"scheme":[163],"exceeds":[164],"three":[165],"other":[166],"solutions":[167],"providing":[169],"higher":[170],"spatial":[171],"coverage":[172],"applications.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}