{"id":"https://openalex.org/W4200143088","doi":"https://doi.org/10.1145/3466687","title":"Similar Trajectory Search with Spatio-Temporal Deep Representation Learning","display_name":"Similar Trajectory Search with Spatio-Temporal Deep Representation Learning","publication_year":2021,"publication_date":"2021-12-11","ids":{"openalex":"https://openalex.org/W4200143088","doi":"https://doi.org/10.1145/3466687"},"language":"en","primary_location":{"id":"doi:10.1145/3466687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3466687","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"ACM Transactions on Intelligent Systems and 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/A5050220402","display_name":"David Alexander Tedjopurnomo","orcid":"https://orcid.org/0000-0002-8187-2737"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"David Alexander Tedjopurnomo","raw_affiliation_strings":["RMIT University, Melbourne, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Victoria, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101701960","display_name":"Xiucheng Li","orcid":"https://orcid.org/0009-0006-4145-6698"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiucheng Li","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080660416","display_name":"Zhifeng Bao","orcid":"https://orcid.org/0000-0003-2477-381X"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhifeng Bao","raw_affiliation_strings":["RMIT University, Melbourne, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Victoria, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045198704","display_name":"Gao Cong","orcid":"https://orcid.org/0000-0002-4430-6373"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gao Cong","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015352125","display_name":"Farhana Choudhury","orcid":"https://orcid.org/0000-0001-6529-4220"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Farhana Choudhury","raw_affiliation_strings":["The University of Melbourne, Melbourne, Parkville, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Melbourne, Melbourne, Parkville, Victoria, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006614329","display_name":"A. K. Qin","orcid":"https://orcid.org/0000-0001-6631-1651"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"A. K. Qin","raw_affiliation_strings":["Swinburne University of Technology, Hawthorn, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Hawthorn, Victoria, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5050220402"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":1.676,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84989858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"12","issue":"6","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9693999886512756,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/trajectory","display_name":"Trajectory","score":0.8423652052879333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8344955444335938},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6469360589981079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6420358419418335},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6385786533355713},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5482861399650574},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5176175832748413},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4898814558982849},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.45878225564956665},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44455912709236145},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.42365872859954834},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4127485752105713},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.380252480506897},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09995648264884949},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0949563980102539}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8423652052879333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8344955444335938},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6469360589981079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6420358419418335},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6385786533355713},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5482861399650574},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5176175832748413},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4898814558982849},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.45878225564956665},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44455912709236145},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.42365872859954834},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4127485752105713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.380252480506897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09995648264884949},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0949563980102539},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3466687","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3466687","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},{"id":"pmh:oai:alma61RMIT.INST:11293054170001341","is_oa":false,"landing_page_url":"http://purl.org/au-research/grants/arc/DP200102611","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W60493759","https://openalex.org/W1522301498","https://openalex.org/W1990588199","https://openalex.org/W2064675550","https://openalex.org/W2072237376","https://openalex.org/W2099302229","https://openalex.org/W2118371392","https://openalex.org/W2133564696","https://openalex.org/W2136848157","https://openalex.org/W2169896292","https://openalex.org/W2283896980","https://openalex.org/W2751600782","https://openalex.org/W2798860017","https://openalex.org/W2799180173","https://openalex.org/W2907481918","https://openalex.org/W2962739339","https://openalex.org/W2982321152","https://openalex.org/W2998264420","https://openalex.org/W3008672977","https://openalex.org/W3020815998","https://openalex.org/W3030299187","https://openalex.org/W3081481768","https://openalex.org/W3082160640","https://openalex.org/W3134624922","https://openalex.org/W4297734170"],"related_works":["https://openalex.org/W1941703695","https://openalex.org/W3131574667","https://openalex.org/W4323768008","https://openalex.org/W4375867731","https://openalex.org/W4248382324","https://openalex.org/W4360995134","https://openalex.org/W2039473718","https://openalex.org/W2387529410","https://openalex.org/W3048601286","https://openalex.org/W2965925734"],"abstract_inverted_index":{"Similar":[0],"trajectory":[1,90,105],"search":[2],"is":[3,132],"a":[4,51,71],"crucial":[5],"task":[6],"that":[7,39,109,126],"facilitates":[8],"many":[9,18],"downstream":[10],"spatial":[11,28,43,62,83],"data":[12,68],"analytic":[13],"applications.":[14],"Despite":[15],"its":[16],"importance,":[17],"of":[19,60,66],"the":[20,26,32,36,42,58,61,67,81,98,140],"current":[21],"literature":[22],"focus":[23],"solely":[24],"on":[25,50],"trajectory\u2019s":[27],"similarity":[29],"while":[30],"neglecting":[31],"temporal":[33,45,64,85],"information.":[34],"Additionally,":[35],"few":[37],"papers":[38],"use":[40],"both":[41,111],"and":[44,63,84,120,134],"features":[46,112],"based":[47],"their":[48],"approach":[49,102,131],"traditional":[52],"point-to-point":[53,118,141],"comparison.":[54],"These":[55],"methods":[56],"model":[57],"importance":[59],"aspect":[65],"with":[69],"only":[70],"single,":[72],"pre-defined":[73],"balancing":[74],"factor":[75],"for":[76],"all":[77],"trajectories,":[78],"even":[79],"though":[80],"relative":[82],"balance":[86],"can":[87],"change":[88],"from":[89],"to":[91,103,139],"trajectory.":[92],"In":[93],"this":[94],"article,":[95],"we":[96],"propose":[97],"first":[99],"spatio-temporal,":[100],"deep-representation-learning-based":[101],"similar":[104],"search.":[106],"Experiments":[107],"show":[108,125],"utilizing":[110],"offers":[113],"significant":[114],"improvements":[115],"over":[116],"existing":[117],"comparison":[119,142],"deep-representation-learning":[121],"approach.":[122],"We":[123],"also":[124],"our":[127],"deep":[128],"neural":[129],"network":[130],"faster":[133],"performs":[135],"more":[136],"consistently":[137],"compared":[138],"approaches.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}