{"id":"https://openalex.org/W2898576681","doi":"https://doi.org/10.1109/access.2018.2876908","title":"A High Quality Task Assignment Mechanism in Vehicle-Based Crowdsourcing Using Predictable Mobility Based on Markov","display_name":"A High Quality Task Assignment Mechanism in Vehicle-Based Crowdsourcing Using Predictable Mobility Based on Markov","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2898576681","doi":"https://doi.org/10.1109/access.2018.2876908","mag":"2898576681"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2876908","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2876908","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2876908","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028310649","display_name":"Bing Jia","orcid":"https://orcid.org/0000-0003-3294-6303"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Jia","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005569512","display_name":"Haotian Xu","orcid":"https://orcid.org/0000-0001-6581-541X"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotian Xu","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University, Hohhot, China"],"raw_orcid":"https://orcid.org/0000-0001-6581-541X","affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090788114","display_name":"Shuai Liu","orcid":"https://orcid.org/0000-0001-9909-0664"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Liu","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University, Hohhot, China"],"raw_orcid":"https://orcid.org/0000-0001-9909-0664","affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013057615","display_name":"Wuyungerile Li","orcid":"https://orcid.org/0000-0003-2489-3651"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wuyungerile Li","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.5755,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86355619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"64920","last_page":"64926"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9993000030517578,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.8018187284469604},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.7710676789283752},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7036805152893066},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.586686372756958},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4754832983016968},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.4552553594112396},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.41849756240844727},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.41672664880752563},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41614702343940735},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.366812527179718},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36231520771980286},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3581809401512146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3251086175441742},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0897625982761383},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08271622657775879}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8018187284469604},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.7710676789283752},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7036805152893066},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.586686372756958},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4754832983016968},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4552553594112396},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.41849756240844727},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.41672664880752563},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41614702343940735},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.366812527179718},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36231520771980286},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3581809401512146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3251086175441742},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0897625982761383},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08271622657775879},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2876908","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2876908","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f211124dc01840f9a06d77542c8c9001","is_oa":true,"landing_page_url":"https://doaj.org/article/f211124dc01840f9a06d77542c8c9001","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 64920-64926 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2876908","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2876908","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2093279302","display_name":null,"funder_award_id":"61502254","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5873576899","display_name":"\u57fa\u4e8e\u6df7\u5408\u7fa4\u667a\u611f\u77e5\u7684\u4f4d\u7f6e\u670d\u52a1\u81ea\u9002\u5e94\u63d0\u4f9b\u673a\u7406\u7814\u7a76","funder_award_id":"41761086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6568863383","display_name":"\u6076\u52a3\u73af\u5883\u4e0b\u80fd\u91cf\u6536\u96c6\u578b\u65e0\u7ebf\u4f20\u611f\u5668\u7f51\u7edc\u7684\u53ef\u9760\u6027\u7814\u7a76","funder_award_id":"61761035","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W437267782","https://openalex.org/W1595564818","https://openalex.org/W1817498027","https://openalex.org/W1994459959","https://openalex.org/W2004490284","https://openalex.org/W2029396991","https://openalex.org/W2105441605","https://openalex.org/W2118096631","https://openalex.org/W2162192698","https://openalex.org/W2207815291","https://openalex.org/W2279868888","https://openalex.org/W2339409242","https://openalex.org/W2344783839","https://openalex.org/W2469590740","https://openalex.org/W2472951657","https://openalex.org/W2514303232","https://openalex.org/W2529689813","https://openalex.org/W2594739868","https://openalex.org/W2609357519","https://openalex.org/W2612758347","https://openalex.org/W2743604323","https://openalex.org/W2767072221","https://openalex.org/W2783555222","https://openalex.org/W2791722231","https://openalex.org/W2804426336","https://openalex.org/W2807802008","https://openalex.org/W2889386526","https://openalex.org/W6687825263"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2194396582","https://openalex.org/W2082284720","https://openalex.org/W2116722627","https://openalex.org/W2537260108","https://openalex.org/W2158700654","https://openalex.org/W2379938888","https://openalex.org/W2566202039","https://openalex.org/W4233405330"],"abstract_inverted_index":{"In":[0,130,192],"recent":[1],"years,":[2],"crowdsourcing":[3,150],"has":[4,35],"become":[5,36],"a":[6,12,37,135,155,175,196],"research":[7],"hotspot.":[8],"How":[9],"to":[10,17,78,179,209,215,257],"formulate":[11],"reasonable":[13],"task":[14,50,71,106,126,137,172,197],"allocation":[15],"mechanism":[16,139,199],"recruit":[18],"the":[19,24,30,33,54,57,69,87,95,98,102,105,113,117,123,128,148,168,182,187,207,211,217,226,230,243,248,251],"most":[20,40,212],"suitable":[21,213],"participant":[22,103,183,214],"for":[23,68,127,147,206],"current":[25,99],"perceptual":[26],"task,":[27],"and":[28,65,104,238,265],"maximize":[29],"benefits":[31],"of":[32,56,101,116,125,171,177,250],"platform":[34,58,208],"problem":[38],"that":[39,203,242],"researchers":[41],"focus":[42],"on.":[43],"Great":[44],"efforts":[45],"have":[46],"been":[47],"invested":[48],"on":[49,144,161,201,269],"assignment":[51,72,138,198],"mechanisms":[52],"from":[53],"perspective":[55],"or":[59],"requesters,":[60],"i.e.,":[61,85,261],"quality-sensitive,":[62],"budget-sensitive,":[63],"time-sensitive,":[64],"location-sensitive.":[66],"Especially":[67],"location-sensitive":[70,136],"mechanism,":[73],"many":[74],"studies":[75],"motivate":[76],"users":[77],"participate":[79],"by":[80,166,224],"some":[81],"coverage":[82],"estimation":[83],"methods,":[84],"minimizing":[86],"traveling":[88],"distance.":[89],"Most":[90],"existing":[91],"methods":[92],"statically":[93],"estimate":[94],"distance":[96],"between":[97],"location":[100,156],"destination,":[107],"without":[108],"giving":[109],"any":[110],"consideration":[111],"about":[112,229],"movement":[114],"track":[115],"participant,":[118],"which":[119,233,253],"may":[120],"result":[121],"in":[122,186,236],"failure":[124],"misallocation.":[129],"this":[131],"paper,":[132],"we":[133,153,194],"propose":[134,195],"using":[140,225],"predictable":[141],"mobility":[142],"based":[143,160,200,268],"Markov":[145,162],"model":[146,159,163],"vehicle-based":[149],"platform.":[151],"Specially,":[152],"present":[154],"transfer":[157],"prediction":[158,263,266],"named":[164],"Markov-TPM":[165,202],"analyzing":[167],"positional":[169],"regularity":[170],"participants":[173],"during":[174],"period":[176,190],"time,":[178],"predict":[180],"where":[181],"will":[184],"appear":[185],"next":[188],"time":[189],"first.":[191],"addition,":[193],"is":[204,234,240,254],"helpful":[205],"select":[210],"complete":[216],"task.":[218],"Finally,":[219],"experiments":[220],"are":[221],"carried":[222],"out":[223],"data":[227],"set":[228],"taxi":[231],"trajectory":[232],"collected":[235],"Shanghai,":[237],"it":[239],"shown":[241],"proposed":[244],"algorithm":[245,264,267],"can":[246],"improve":[247],"accuracy":[249],"task-delivered,":[252],"evidently":[255],"superior":[256],"two":[258],"algorithms":[259],"compared,":[260],"random":[262],"neighbor":[270],"relation.":[271]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}