{"id":"https://openalex.org/W3164820482","doi":"https://doi.org/10.14778/3457390.3457394","title":"MDTP","display_name":"MDTP","publication_year":2021,"publication_date":"2021-04-01","ids":{"openalex":"https://openalex.org/W3164820482","doi":"https://doi.org/10.14778/3457390.3457394","mag":"3164820482"},"language":"en","primary_location":{"id":"doi:10.14778/3457390.3457394","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3457390.3457394","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/A5042394655","display_name":"Ziquan Fang","orcid":"https://orcid.org/0009-0009-2034-5501"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziquan Fang","raw_affiliation_strings":["Zhejiang University, Hangzhou, Chinaa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, Chinaa","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008156638","display_name":"Pan Lu","orcid":"https://orcid.org/0000-0002-1640-3598"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Pan","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605099","display_name":"Chen L\u00fc","orcid":"https://orcid.org/0000-0003-1927-2391"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Chen","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101920357","display_name":"Yuntao Du","orcid":"https://orcid.org/0000-0002-1206-340X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuntao Du","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006238145","display_name":"Yunjun Gao","orcid":"https://orcid.org/0000-0003-3816-8450"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunjun Gao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China and Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China and Alibaba-Zhejiang University Joint Institute of Frontier Technologies, Hangzhou, China","institution_ids":["https://openalex.org/I45928872","https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8688,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.93611844,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"14","issue":"8","first_page":"1289","last_page":"1297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.9940999746322632,"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":0.9925000071525574,"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/computer-science","display_name":"Computer science","score":0.8027257919311523},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.661613941192627},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.6473121643066406},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5925215482711792},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5497638583183289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5150365829467773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4833809733390808},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4783896207809448},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4546353220939636},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.425646036863327},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17844346165657043},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08575016260147095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027257919311523},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.661613941192627},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.6473121643066406},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5925215482711792},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5497638583183289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5150365829467773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4833809733390808},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4783896207809448},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4546353220939636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.425646036863327},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17844346165657043},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08575016260147095},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3457390.3457394","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3457390.3457394","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1982978808","https://openalex.org/W1988580225","https://openalex.org/W2112738128","https://openalex.org/W2126194848","https://openalex.org/W2183341477","https://openalex.org/W2277710627","https://openalex.org/W2295598076","https://openalex.org/W2470641485","https://openalex.org/W2513383847","https://openalex.org/W2793820729","https://openalex.org/W2794767117","https://openalex.org/W2808008404","https://openalex.org/W2808862972","https://openalex.org/W2899689631","https://openalex.org/W2900471328","https://openalex.org/W2901504064","https://openalex.org/W2904813135","https://openalex.org/W2910892140","https://openalex.org/W2912818700","https://openalex.org/W2949732208","https://openalex.org/W2950019211","https://openalex.org/W2952740813","https://openalex.org/W2953118818","https://openalex.org/W2953583753","https://openalex.org/W2962790412","https://openalex.org/W2965497726","https://openalex.org/W3000301417","https://openalex.org/W3046123837","https://openalex.org/W3102436600","https://openalex.org/W3102476541"],"related_works":["https://openalex.org/W4388870064","https://openalex.org/W4235186151","https://openalex.org/W2054685365","https://openalex.org/W2272354214","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Traffic":[0],"prediction":[1,40,70,81,189,218],"has":[2,164],"drawn":[3],"increasing":[4],"attention":[5],"for":[6,68],"its":[7],"ubiquitous":[8],"real-life":[9,158],"applications":[10],"in":[11,59,127,196],"traffic":[12,39,63,69,80,126,188,194,217],"management,":[13],"urban":[14],"computing,":[15],"public":[16],"safety,":[17],"and":[18,28,98,122,142,175,191],"so":[19],"on.":[20],"Recently,":[21],"the":[22,29,43,50,60,119,128,133,146,186],"availability":[23],"of":[24,31,37,55,125,201,203],"massive":[25],"trajectory":[26,85,151,204],"data":[27,152],"success":[30],"deep":[32,38,79],"learning":[33,173],"motivate":[34],"a":[35,77,181,211],"plethora":[36],"studies.":[41],"However,":[42],"existing":[44],"neural-network-based":[45,177],"approaches":[46],"tend":[47],"to":[48,117,144,215],"ignore":[49],"correlations":[51],"between":[52],"multiple":[53],"types":[54],"moving":[56],"objects":[57],"located":[58],"same":[61],"spatio-temporal":[62,84,95],"area,":[64],"which":[65],"is":[66],"suboptimal":[67],"analytics.":[71],"In":[72,132],"this":[73],"paper,":[74],"we":[75,137,206],"propose":[76,138],"multi-source":[78,99,134],"framework":[82,91],"over":[83,185],"data,":[86],"termed":[87],"as":[88],"MDTP.":[89],"The":[90],"includes":[92],"two":[93,139,157],"phases:":[94],"feature":[96,129],"modeling":[97,130],"bridging.":[100],"We":[101],"present":[102],"an":[103],"enhanced":[104],"graph":[105],"convolutional":[106],"network":[107,115],"(GCN)":[108],"model":[109],"combined":[110],"with":[111,168],"long":[112],"short-term":[113],"memory":[114],"(LSTM)":[116],"capture":[118],"spatial":[120],"dependencies":[121],"temporal":[123],"dynamics":[124],"phase.":[131],"bridging":[135],"phase,":[136],"methods,":[140,171,174],"Sum":[141],"Concat,":[143],"connect":[145],"learned":[147],"features":[148],"from":[149],"different":[150],"sources.":[153],"Extensive":[154],"experiments":[155],"on":[156,199],"datasets":[159],"show":[160],"that":[161],"MDTP":[162,208],"i)":[163],"superior":[165],"efficiency,":[166],"compared":[167],"classical":[169],"time-series":[170],"machine":[172],"state-of-the-art":[176],"approaches;":[178],"ii)":[179],"offers":[180],"significant":[182],"performance":[183],"improvement":[184],"single-source":[187],"approach;":[190],"iii)":[192],"performs":[193],"predictions":[195],"seconds":[197],"even":[198],"tens":[200],"millions":[202],"data.":[205],"develop":[207],"+":[209],",":[210],"user-friendly":[212],"interactive":[213],"system":[214],"demonstrate":[216],"analysis.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2021-06-07T00:00:00"}