{"id":"https://openalex.org/W3092268134","doi":"https://doi.org/10.1109/access.2020.3028847","title":"Abnormal Trajectory Detection Based on Geospatial Consistent Modeling","display_name":"Abnormal Trajectory Detection Based on Geospatial Consistent Modeling","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3092268134","doi":"https://doi.org/10.1109/access.2020.3028847","mag":"3092268134"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3028847","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3028847","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":null,"license_id":null,"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.2020.3028847","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101567973","display_name":"Haiquan Wang","orcid":"https://orcid.org/0000-0003-1745-9814"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiquan Wang","raw_affiliation_strings":["College of Software, Beihang University, Beijing, China","NLSDE Laboratory, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Software, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"NLSDE Laboratory, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041325837","display_name":"Jiachen Feng","orcid":"https://orcid.org/0000-0002-9859-1966"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiachen Feng","raw_affiliation_strings":["College of Software, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Software, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081275566","display_name":"Leilei Sun","orcid":"https://orcid.org/0000-0002-0157-1716"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leilei Sun","raw_affiliation_strings":["NLSDE Laboratory, Beihang University, Beijing, China","BDBC Laboratory, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"NLSDE Laboratory, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"BDBC Laboratory, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103054868","display_name":"Kaiqiang An","orcid":"https://orcid.org/0000-0003-3695-5143"},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiqiang An","raw_affiliation_strings":["Didi Chuxing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Didi Chuxing, Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320478","display_name":"Shuai Liu","orcid":"https://orcid.org/0000-0002-0699-2296"},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoping Liu","raw_affiliation_strings":["Didi Chuxing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Didi Chuxing, Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102854053","display_name":"Xiang Wen","orcid":"https://orcid.org/0009-0009-4245-3474"},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wen","raw_affiliation_strings":["Didi Chuxing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Didi Chuxing, Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069960972","display_name":"Runbo Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runbo Hu","raw_affiliation_strings":["Didi Chuxing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Didi Chuxing, Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101684383","display_name":"Hua Chai","orcid":"https://orcid.org/0000-0002-8351-1935"},"institutions":[{"id":"https://openalex.org/I4401726870","display_name":"Didi Chuxing (China)","ror":"https://ror.org/02ksqcf75","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726870"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Chai","raw_affiliation_strings":["Didi Chuxing, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Didi Chuxing, Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101567973"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7954,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78697893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"184633","last_page":"184643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"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":0.994700014591217,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.869094967842102},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8442608118057251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7881135940551758},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5756604671478271},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5156015753746033},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5051286816596985},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5038759112358093},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5008454322814941},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.47569403052330017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43181371688842773},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3953206539154053},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11498984694480896},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.10616099834442139}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.869094967842102},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8442608118057251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7881135940551758},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5756604671478271},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5156015753746033},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5051286816596985},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5038759112358093},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5008454322814941},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.47569403052330017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43181371688842773},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3953206539154053},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11498984694480896},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.10616099834442139},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3028847","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3028847","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7c5026aacb1b4eababc9cbfcaadbd638","is_oa":true,"landing_page_url":"https://doaj.org/article/7c5026aacb1b4eababc9cbfcaadbd638","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 184633-184643 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3028847","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3028847","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G182537685","display_name":null,"funder_award_id":"2019YFB2102103","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5228963247","display_name":null,"funder_award_id":"Z191100002519012","funder_id":"https://openalex.org/F4320325902","funder_display_name":"Beijing Municipal Science and Technology Commission"}],"funders":[{"id":"https://openalex.org/F4320325902","display_name":"Beijing Municipal Science and Technology Commission","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1517657450","https://openalex.org/W1614298861","https://openalex.org/W1968701380","https://openalex.org/W2131744502","https://openalex.org/W2136975357","https://openalex.org/W2153579005","https://openalex.org/W2474046725","https://openalex.org/W2514056879","https://openalex.org/W2601893308","https://openalex.org/W2603341501","https://openalex.org/W2741206673","https://openalex.org/W2741460999","https://openalex.org/W2767297659","https://openalex.org/W2795016801","https://openalex.org/W2962275530","https://openalex.org/W2962834725","https://openalex.org/W2963358464","https://openalex.org/W2965341826","https://openalex.org/W2985260327","https://openalex.org/W3016670337","https://openalex.org/W3029191757","https://openalex.org/W4294170691","https://openalex.org/W4297814361","https://openalex.org/W6636510571","https://openalex.org/W6679775712","https://openalex.org/W6682691769","https://openalex.org/W6720514713","https://openalex.org/W6746015598","https://openalex.org/W6775704484"],"related_works":["https://openalex.org/W4367313141","https://openalex.org/W4283374591","https://openalex.org/W2004086023","https://openalex.org/W2733999579","https://openalex.org/W2110217573","https://openalex.org/W2910751785","https://openalex.org/W4390100400","https://openalex.org/W4366547507","https://openalex.org/W4362512700","https://openalex.org/W2074396925"],"abstract_inverted_index":{"Anomalous":[0],"trajectory":[1,32,104],"detection":[2,9,33],"plays":[3],"a":[4,34,59],"significant":[5],"role":[6],"in":[7],"fraud":[8],"and":[10,19,25,44,55,69,79,94,112,132,137],"adverse":[11],"events":[12],"monitoring":[13],"for":[14,118],"ride-hailing":[15],"services.":[16],"The":[17],"spatial":[18],"temporal":[20],"dynamics":[21],"of":[22,28,66,82,139],"road":[23],"networks":[24],"the":[26,67,76,135,140],"sparsity":[27,71],"trajectories":[29,68,83,111],"make":[30],"anomalous":[31,110],"challenging":[35],"task.":[36],"Most":[37],"existing":[38],"methods":[39],"are":[40,84,99,116],"based":[41],"on":[42,125],"density":[43],"isolation":[45],"approaches,":[46],"which":[47,62,114],"ignore":[48],"geographical":[49,77],"information.":[50],"Motivated":[51],"by":[52,120],"these":[53,122],"challenges":[54],"shortcomings,":[56],"we":[57],"propose":[58],"novel":[60],"method,":[61,75],"considers":[63],"geospatial":[64],"constraints":[65,81],"avoids":[70],"issues.":[72],"In":[73],"our":[74],"information":[78],"topological":[80],"embedded":[85],"into":[86],"structured":[87],"vector":[88],"space.":[89],"Recurrent":[90],"Neural":[91,96],"Network":[92,97],"(RNN)":[93],"Convolutional":[95],"(CNN)":[98],"used":[100],"to":[101],"model":[102],"common":[103],"features.":[105,123],"Our":[106],"method":[107],"could":[108],"identify":[109],"determine":[113],"parts":[115],"responsible":[117],"anomalies":[119],"using":[121],"Experiments":[124],"two":[126],"real-world":[127],"datasets":[128],"have":[129],"been":[130],"conducted,":[131],"results":[133],"demonstrate":[134],"effectiveness":[136],"feasibility":[138],"proposed":[141],"method.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-02-25T23:00:34.991745","created_date":"2025-10-10T00:00:00"}