{"id":"https://openalex.org/W4323644378","doi":"https://doi.org/10.1109/tvt.2023.3253695","title":"Spatiotemporal Capsule Neural Network for Vehicle Trajectory Prediction","display_name":"Spatiotemporal Capsule Neural Network for Vehicle Trajectory Prediction","publication_year":2023,"publication_date":"2023-03-08","ids":{"openalex":"https://openalex.org/W4323644378","doi":"https://doi.org/10.1109/tvt.2023.3253695"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2023.3253695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3253695","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":true,"oa_status":"green","oa_url":"https://dr.ntu.edu.sg/bitstream/10356/166621/2/Spatiotemporal_Capsule_Neural_Network_for_Vehicle_Trajectory_Prediction.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064860911","display_name":"Yan Qin","orcid":"https://orcid.org/0000-0002-4184-9022"},"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":true,"raw_author_name":"Yan Qin","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100763983","display_name":"Yong Liang Guan","orcid":"https://orcid.org/0000-0002-9757-630X"},"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":"Yong Liang Guan","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060020877","display_name":"Chau Yuen","orcid":"https://orcid.org/0000-0002-9307-2120"},"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":"Chau Yuen","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064860911"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":3.0893,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.90638278,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"72","issue":"8","first_page":"9746","last_page":"9756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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":0.9976999759674072,"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/trajectory","display_name":"Trajectory","score":0.8455984592437744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6666485071182251},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.645090639591217},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6006717681884766},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5138083100318909},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.4523313343524933},{"id":"https://openalex.org/keywords/urban-computing","display_name":"Urban computing","score":0.43649208545684814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43435773253440857},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.4127176105976105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4047468304634094},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3634030818939209},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27514398097991943},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18446490168571472},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18101325631141663},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08570003509521484}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8455984592437744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6666485071182251},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.645090639591217},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6006717681884766},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5138083100318909},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.4523313343524933},{"id":"https://openalex.org/C2778459138","wikidata":"https://www.wikidata.org/wiki/Q7900107","display_name":"Urban computing","level":2,"score":0.43649208545684814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43435773253440857},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4127176105976105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4047468304634094},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3634030818939209},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27514398097991943},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18446490168571472},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18101325631141663},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08570003509521484},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvt.2023.3253695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2023.3253695","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"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/166621","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/166621","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/166621/2/Spatiotemporal_Capsule_Neural_Network_for_Vehicle_Trajectory_Prediction.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:dr.ntu.edu.sg:10356/166621","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/166621","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/166621/2/Spatiotemporal_Capsule_Neural_Network_for_Vehicle_Trajectory_Prediction.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G3682036436","display_name":null,"funder_award_id":"A19D6a0053","funder_id":"https://openalex.org/F4320320696","funder_display_name":"Agency for Science, Technology and Research"}],"funders":[{"id":"https://openalex.org/F4320320696","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4323644378.pdf","grobid_xml":"https://content.openalex.org/works/W4323644378.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1971537903","https://openalex.org/W2064675550","https://openalex.org/W2099005886","https://openalex.org/W2539781657","https://openalex.org/W2919115771","https://openalex.org/W2963703618","https://openalex.org/W2963815829","https://openalex.org/W2964199361","https://openalex.org/W2966134984","https://openalex.org/W2970518786","https://openalex.org/W2980674799","https://openalex.org/W2980728767","https://openalex.org/W2981420090","https://openalex.org/W2997891818","https://openalex.org/W2997958396","https://openalex.org/W3016409148","https://openalex.org/W3082335637","https://openalex.org/W3091864988","https://openalex.org/W3092232743","https://openalex.org/W3116103134","https://openalex.org/W3120288397","https://openalex.org/W3126085202","https://openalex.org/W3133971993","https://openalex.org/W3134368456","https://openalex.org/W3159143330","https://openalex.org/W3163148797","https://openalex.org/W3167052796","https://openalex.org/W3187498798","https://openalex.org/W3188872815","https://openalex.org/W3196376901","https://openalex.org/W3198671361","https://openalex.org/W3212172638","https://openalex.org/W3214279811","https://openalex.org/W4220865846","https://openalex.org/W4224324825","https://openalex.org/W4226249143","https://openalex.org/W4286008117","https://openalex.org/W4385245566","https://openalex.org/W6674615465","https://openalex.org/W6739901393","https://openalex.org/W6743446608"],"related_works":["https://openalex.org/W1501776718","https://openalex.org/W2615136228","https://openalex.org/W2126194848","https://openalex.org/W3001431193","https://openalex.org/W2955605379","https://openalex.org/W2145006118","https://openalex.org/W4366491531","https://openalex.org/W2904515274","https://openalex.org/W2024348445","https://openalex.org/W4320024144"],"abstract_inverted_index":{"Through":[0],"advancement":[1],"of":[2,35,59],"the":[3,32,36,56,79,88,98,119,151,155],"Vehicle-to-Everything":[4],"(V2X)":[5],"network,":[6],"road":[7],"safety,":[8],"energy":[9],"consumption,":[10],"and":[11,27,42,113,126,147],"traffic":[12,25],"efficiency":[13],"can":[14],"be":[15],"significantly":[16],"improved.":[17],"An":[18],"accurate":[19],"vehicle":[20,53,60,109],"trajectory":[21,84],"prediction":[22,85],"benefits":[23],"communication":[24],"management":[26],"network":[28,91],"resource":[29],"allocation":[30],"for":[31,78],"real-time":[33],"application":[34],"V2X":[37],"network.":[38],"Recurrent":[39],"neural":[40,90],"networks":[41],"their":[43],"variants":[44],"have":[45],"been":[46,64],"reported":[47],"in":[48,67,143],"recent":[49],"research":[50],"to":[51,122],"predict":[52],"mobility.":[54],"However,":[55],"spatial":[57,128],"attribute":[58],"movement":[61],"behavior":[62],"has":[63],"overlooked,":[65],"resulting":[66],"incomplete":[68],"information":[69,100],"utilization.":[70],"To":[71],"bridge":[72],"this":[73],"gap,":[74],"we":[75],"put":[76],"forward":[77],"first":[80],"time":[81],"a":[82,104],"hierarchical":[83,131],"structure":[86],"using":[87],"capsule":[89],"(CapsNet)":[92],"with":[93],"three":[94],"sequential":[95],"components.":[96],"First,":[97],"geographic":[99],"is":[101],"transformed":[102],"into":[103],"grid":[105],"map":[106],"presentation,":[107],"describing":[108],"mobility":[110,140],"distribution":[111],"spatially":[112],"temporally.":[114],"Second,":[115],"CapsNet":[116],"serves":[117],"as":[118],"core":[120],"model":[121],"embed":[123],"local":[124],"temporal":[125],"global":[127],"correlation":[129],"through":[130],"capsules.":[132],"Finally,":[133],"extensive":[134],"experiments":[135],"conducted":[136],"on":[137],"actual":[138],"taxi":[139],"data":[141],"collected":[142],"Porto":[144],"city":[145],"(Portugal)":[146],"Singapore":[148],"show":[149],"that":[150],"proposed":[152],"method":[153],"outperforms":[154],"state-of-the-art":[156],"methods.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}