乐胖代购免代理版

{"id":"https://openalex.org/W4245717646","doi":"https://doi.org/10.1109/ivs.2017.7995895","title":"Predictive ridesharing based on personal mobility patterns","display_name":"Predictive ridesharing based on personal mobility patterns","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W4245717646","doi":"https://doi.org/10.1109/ivs.2017.7995895"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995895","pdf_url":null,"source":{"id":"https://openalex.org/S4363605370","display_name":"2022 IEEE Intelligent Vehicles Symposium (IV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01693691/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064322167","display_name":"Roman Roor","orcid":null},"institutions":[{"id":"https://openalex.org/I1283382300","display_name":"BMW (Germany)","ror":"https://ror.org/05vs9tj88","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283382300","https://openalex.org/I4210156768"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roman Roor","raw_affiliation_strings":["BMW AG, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"BMW AG, Munich, Germany","institution_ids":["https://openalex.org/I1283382300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113437786","display_name":"Michael Karg","orcid":null},"institutions":[{"id":"https://openalex.org/I1283382300","display_name":"BMW (Germany)","ror":"https://ror.org/05vs9tj88","country_code":"DE","type":"company","lineage":["https://openalex.org/I1283382300","https://openalex.org/I4210156768"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Karg","raw_affiliation_strings":["BMW AG, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"BMW AG, Munich, Germany","institution_ids":["https://openalex.org/I1283382300"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057612405","display_name":"Andy Liao","orcid":"https://orcid.org/0000-0002-7864-7803"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Andy Liao","raw_affiliation_strings":["BMW Technology Office China, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"BMW Technology Office China, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087462974","display_name":"Wenhui Lei","orcid":"https://orcid.org/0000-0002-2952-3441"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Lei","raw_affiliation_strings":["BMW Technology Office China, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"BMW Technology Office China, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103130201","display_name":"Alexandra Kirsch","orcid":"https://orcid.org/0000-0002-5663-1798"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"funder","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexandra Kirsch","raw_affiliation_strings":["Department of Computer Science, Eberhard Karls Universit\u00e4t T\u00fcbingen, T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Eberhard Karls Universit\u00e4t T\u00fcbingen, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":4,"citation_normalized_percentile":{"value":0.909214,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":77,"max":79},"biblio":{"volume":null,"issue":null,"first_page":"1322","last_page":"1329"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9998,"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"}},"topics":[{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9998,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9955,"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/feature","display_name":"Feature (linguistics)","score":0.57457495},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.4807677},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4651317}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8305089},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.57457495},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5188309},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.51834905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5043367},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.4807677},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.47184232},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46907017},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4651317},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.45672828},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.43832964},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.098789304},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995895","pdf_url":null,"source":{"id":"https://openalex.org/S4363605370","display_name":"2022 IEEE Intelligent Vehicles Symposium (IV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://hal.archives-ouvertes.fr/hal-01693691","pdf_url":"https://hal.science/hal-01693691/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":["Centre National de la Recherche Scientifique"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://hal.science/hal-01693691/file/roor17predictive-preprint.pdf","pdf_url":"https://hal.science/hal-01693691/file/roor17predictive-preprint.pdf","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://hal.archives-ouvertes.fr/hal-01693691/document","pdf_url":"https://hal.archives-ouvertes.fr/hal-01693691/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":["Centre National de la Recherche Scientifique"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://hal.archives-ouvertes.fr/hal-01693691","pdf_url":"https://hal.science/hal-01693691/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":["Centre National de la Recherche Scientifique"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":18,"referenced_works":["https://openalex.org/W1501638260","https://openalex.org/W1607081938","https://openalex.org/W1964461063","https://openalex.org/W1967755638","https://openalex.org/W1972243012","https://openalex.org/W2009573649","https://openalex.org/W2063718055","https://openalex.org/W2074020083","https://openalex.org/W2076985663","https://openalex.org/W2078663124","https://openalex.org/W2082967074","https://openalex.org/W2083393554","https://openalex.org/W2103960658","https://openalex.org/W2121161839","https://openalex.org/W2263055960","https://openalex.org/W2408569144","https://openalex.org/W2750363283","https://openalex.org/W66477288"],"related_works":["https://openalex.org/W3145575561","https://openalex.org/W2995886640","https://openalex.org/W2554282488","https://openalex.org/W2364370872","https://openalex.org/W2294335174","https://openalex.org/W2097963413","https://openalex.org/W2053269318","https://openalex.org/W2025614924","https://openalex.org/W2001275470","https://openalex.org/W1591475660"],"abstract_inverted_index":{"For":[0],"digital":[1],"mobility":[2,10,71,91],"assistants":[3],"it":[4,108],"is":[5,109,126,172],"advantageous":[6],"to":[7,12,15,29,74,111,157],"know":[8],"users'":[9,90],"habits":[11,80],"be":[13],"able":[14],"infer":[16],"the":[17,118,129,159,165],"most":[18,34,160],"probable":[19],"departure":[20,155],"time":[21],"and":[22,44,53,69,79,140,153,175],"next":[23,123,150],"destination.":[24],"Different":[25],"approaches":[26],"are":[27,50],"known":[28],"face":[30],"this":[31,100],"challenge,":[32],"but":[33],"of":[35,57,114,149],"them":[36],"either":[37],"have":[38],"a":[39,67,76,83,103],"very":[40,51],"static":[41],"feature":[42],"model":[43,72,101],"limited":[45],"extensibility":[46],"capabilities":[47],"or":[48],"they":[49],"complex":[52],"require":[54],"exponential":[55],"amount":[56],"training":[58,120],"data":[59,106],"for":[60,146,164],"every":[61],"added":[62],"feature.":[63],"This":[64],"paper":[65],"introduces":[66],"flexible":[68],"extendible":[70],"-":[73,81],"represent":[75],"user's":[77],"movement":[78],"using":[82],"Variable-order":[84],"Markov":[85],"Model":[86],"(VOMM)":[87],"based":[88,127,142],"on":[89,128],"patterns":[92,113],"enriched":[93],"with":[94],"different":[95,115],"temporal":[96],"context":[97],"information.":[98],"Since":[99],"uses":[102],"tree":[104],"like":[105],"structure,":[107],"possible":[110,154],"find":[112],"lengths":[116],"in":[117],"same":[119],"data.":[121],"Spatio-temporal":[122],"location":[124,151],"prediction":[125,170],"Prediction":[130],"by":[131],"Partial":[132],"Matching":[133],"(PPM)":[134],"algorithm.":[135],"We":[136],"examine":[137],"several":[138],"classification":[139],"regression":[141],"machine":[143],"learning":[144],"algorithms":[145],"probability":[147,163],"fusion":[148],"candidates":[152],"times":[156],"obtain":[158],"accurate":[161],"joint":[162],"predicted":[166],"location.":[167],"The":[168],"resulting":[169],"accuracy":[171],"between":[173],"60%":[174],"81%.":[176]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4245717646","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-03-23T23:43:15.669025","created_date":"2022-05-12"}