{"id":"https://openalex.org/W3032327046","doi":"https://doi.org/10.1109/access.2020.2997967","title":"A Method for LSTM-Based Trajectory Modeling and Abnormal Trajectory Detection","display_name":"A Method for LSTM-Based Trajectory Modeling and Abnormal Trajectory Detection","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3032327046","doi":"https://doi.org/10.1109/access.2020.2997967","mag":"3032327046"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2997967","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2997967","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2020.2997967","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042954747","display_name":"Yufan Ji","orcid":"https://orcid.org/0000-0002-7092-4503"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufan Ji","raw_affiliation_strings":["National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-7092-4503","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103268655","display_name":"Lunwen Wang","orcid":"https://orcid.org/0000-0003-4726-3484"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lunwen Wang","raw_affiliation_strings":["National University of Defense Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062881019","display_name":"Weilu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilu Wu","raw_affiliation_strings":["National University of Defense Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074500058","display_name":"Hao Shao","orcid":"https://orcid.org/0000-0001-8230-6297"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Shao","raw_affiliation_strings":["National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-8230-6297","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068897550","display_name":"Yanqing Feng","orcid":"https://orcid.org/0000-0002-5883-4636"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanqing Feng","raw_affiliation_strings":["National University of Defense Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5883-4636","affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Hefei, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0822,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.8595122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"104063","last_page":"104073"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.9452056884765625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.788368284702301},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.569772481918335},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5312668681144714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5048028230667114},{"id":"https://openalex.org/keywords/premise","display_name":"Premise","score":0.4244082570075989},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3803061842918396},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35824695229530334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1429094672203064}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.9452056884765625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.788368284702301},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.569772481918335},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5312668681144714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5048028230667114},{"id":"https://openalex.org/C2778023277","wikidata":"https://www.wikidata.org/wiki/Q321703","display_name":"Premise","level":2,"score":0.4244082570075989},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3803061842918396},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35824695229530334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1429094672203064},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2997967","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2997967","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:798a7055629a4bf6889167bd4e25dab7","is_oa":true,"landing_page_url":"https://doaj.org/article/798a7055629a4bf6889167bd4e25dab7","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 8, Pp 104063-104073 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2997967","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2997967","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/G6807401023","display_name":null,"funder_award_id":"11975307","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1588204506","https://openalex.org/W1689909837","https://openalex.org/W2008958337","https://openalex.org/W2028031999","https://openalex.org/W2073700113","https://openalex.org/W2073992193","https://openalex.org/W2086781328","https://openalex.org/W2167225252","https://openalex.org/W2186751573","https://openalex.org/W2381189513","https://openalex.org/W2424778531","https://openalex.org/W2514056879","https://openalex.org/W2551883714","https://openalex.org/W2593239008","https://openalex.org/W2765456220","https://openalex.org/W2775742549","https://openalex.org/W2779401158","https://openalex.org/W2801667201","https://openalex.org/W2883818427","https://openalex.org/W2886086764","https://openalex.org/W2912986282","https://openalex.org/W2916228103","https://openalex.org/W2959437307","https://openalex.org/W2963001155","https://openalex.org/W2985260327","https://openalex.org/W4288020401","https://openalex.org/W4386816517","https://openalex.org/W6770324221","https://openalex.org/W6981368387"],"related_works":["https://openalex.org/W590788508","https://openalex.org/W4235873430","https://openalex.org/W2611974471","https://openalex.org/W4313233093","https://openalex.org/W2358082531","https://openalex.org/W2589976903","https://openalex.org/W2335596023","https://openalex.org/W2026719400","https://openalex.org/W2374273535","https://openalex.org/W4225892616"],"abstract_inverted_index":{"Nowadays,":[0],"massive":[1],"data":[2,133],"has":[3,169,174],"been":[4,170],"brought":[5],"by":[6],"the":[7,22,91,111,150,157,162],"rapid":[8],"development":[9],"of":[10,24,63,79,93,103,108,129,152],"technology.":[11],"When":[12],"finding":[13],"whether":[14],"trajectory":[15,40,46,61,65,116,137,146],"to":[16,58,74,84,117,122,143],"be":[17,118],"detected":[18,119],"is":[19,56,120,154],"abnormal":[20,45,124],"under":[21],"premise":[23],"given":[25],"normal":[26,64,145],"trajectories,":[27],"we":[28,89],"innovatively":[29],"propose":[30],"1)":[31],"Seq2Seq":[32],"model":[33],"based":[34],"on":[35],"LSTM":[36],"prediction":[37],"network":[38],"for":[39,68],"modelling":[41,153],"(SL-Modelling),":[42],"and":[43,51,82,95,105,115,149,166,181],"2)":[44],"detection":[47,70,163,176],"method":[48],"with":[49,71,164,178],"spatio-temporal":[50,104,165],"semantic":[52,96,106,167],"information.":[53],"Firstly,":[54],"SL-Modelling":[55],"used":[57],"obtain":[59],"sequence-type":[60],"models":[62,114,138],"groups":[66,147],"directly":[67],"subsequent":[69],"no":[72],"need":[73],"extract":[75],"a":[76],"large":[77],"number":[78],"features":[80],"manually":[81],"adapting":[83],"different":[85],"sequence":[86,98],"length.":[87],"Then":[88],"introduce":[90],"concept":[92],"distance":[94],"interest":[97],"that":[99,136,172],"makes":[100],"full":[101],"use":[102],"information":[107,168],"trajectories.":[109],"Finally,":[110],"similarity":[112],"between":[113],"calculated":[121],"detect":[123],"trajectory.":[125],"The":[126],"experimental":[127],"results":[128],"publicly":[130],"available":[131],"flight":[132],"set":[134],"show":[135],"obtained":[139],"are":[140],"descriptive":[141],"enough":[142],"represent":[144],"well,":[148],"accuracy":[151,180],"higher":[155,179],"than":[156],"existing":[158],"advanced":[159],"methods.":[160],"Besides,":[161],"verified":[171],"it":[173],"stronger":[175],"ability":[177],"takes":[182],"less":[183],"time.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}