{"id":"https://openalex.org/W4385562557","doi":"https://doi.org/10.1145/3580305.3599926","title":"Understanding the Semantics of GPS-based Trajectories for Road Closure Detection","display_name":"Understanding the Semantics of GPS-based Trajectories for Road Closure Detection","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385562557","doi":"https://doi.org/10.1145/3580305.3599926"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-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/A5078874629","display_name":"Jiasheng Zhang","orcid":"https://orcid.org/0000-0002-5640-2020"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiasheng Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"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 Technology Co., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Didi Chuxing Technology Co., Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101776934","display_name":"Guoping Liu","orcid":"https://orcid.org/0000-0003-3734-1346"},"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 Technology Co., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Didi Chuxing Technology Co., Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040979396","display_name":"Xiang Wen","orcid":"https://orcid.org/0000-0002-3185-1380"},"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 Technology Co., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Didi Chuxing Technology Co., Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073219043","display_name":"Runbo Hu","orcid":"https://orcid.org/0000-0002-3105-9772"},"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 Technology Co., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Didi Chuxing Technology Co., Beijing, China","institution_ids":["https://openalex.org/I4401726870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072350518","display_name":"Jie Shao","orcid":"https://orcid.org/0000-0003-2615-1555"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Shao","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5078874629"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.9787,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73905659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5554","last_page":"5563"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T13282","display_name":"Automated Road and Building Extraction","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11106","display_name":"Data Management and Algorithms","score":0.994700014591217,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9937000274658203,"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/computer-science","display_name":"Computer science","score":0.6985632181167603},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5773617625236511},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5302942395210266},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49120256304740906},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.4719651937484741},{"id":"https://openalex.org/keywords/closure","display_name":"Closure (psychology)","score":0.4520714581012726},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4273701310157776},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4116833508014679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37323376536369324},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33482539653778076}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6985632181167603},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5773617625236511},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5302942395210266},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49120256304740906},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.4719651937484741},{"id":"https://openalex.org/C146834321","wikidata":"https://www.wikidata.org/wiki/Q2979672","display_name":"Closure (psychology)","level":2,"score":0.4520714581012726},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4273701310157776},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4116833508014679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37323376536369324},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33482539653778076},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599926","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1882737025","display_name":null,"funder_award_id":"62276047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4253300795","display_name":null,"funder_award_id":"61832001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4387417602","display_name":null,"funder_award_id":"No. 61832001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8208342437","display_name":null,"funder_award_id":"1 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8863666567","display_name":null,"funder_award_id":"and No.","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":18,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2138162264","https://openalex.org/W2187089797","https://openalex.org/W2560674852","https://openalex.org/W2734775449","https://openalex.org/W2747329762","https://openalex.org/W2964084190","https://openalex.org/W2966894933","https://openalex.org/W3005661826","https://openalex.org/W3008849576","https://openalex.org/W3034526875","https://openalex.org/W3035338169","https://openalex.org/W3167652394","https://openalex.org/W3187633063","https://openalex.org/W3213353729","https://openalex.org/W4247950230","https://openalex.org/W4296104994","https://openalex.org/W6629625460"],"related_works":["https://openalex.org/W3162200841","https://openalex.org/W2586280620","https://openalex.org/W2805505483","https://openalex.org/W2334071950","https://openalex.org/W315394019","https://openalex.org/W2384744344","https://openalex.org/W4233932308","https://openalex.org/W1799694159","https://openalex.org/W2393169196","https://openalex.org/W2366610330"],"abstract_inverted_index":{"The":[0,16],"accurate":[1],"detection":[2,139],"of":[3,7,13,23,45,146,169,183,205,224,237,250],"road":[4,112,137,244],"closures":[5,113],"is":[6,78,177,198],"great":[8],"value":[9],"for":[10,73,111],"real-time":[11],"updating":[12],"digital":[14],"maps.":[15],"existing":[17],"methods":[18],"mainly":[19],"follow":[20],"the":[21,25,58,116,127,144,158,161,166,181,203,222,228,235,248],"paradigm":[22],"detecting":[24],"drastic":[26,43],"changes":[27,44],"in":[28,54,118,226],"traffic":[29,33,46,71],"statistical":[30,47,64,84],"values":[31,48,65,85],"(e.g.,":[32,70],"flow),":[34],"but":[35],"they":[36,94,123],"may":[37,91],"lead":[38],"to":[39,51,68,80,164,179,201],"misidentifying":[40,90],"since":[41,102],"1)":[42],"are":[49,61,66,86,213],"hard":[50],"be":[52],"observed":[53],"low-heat":[55],"roads":[56,75],"where":[57,172,207],"passing":[59],"vehicles":[60],"sparse;":[62],"2)":[63],"sensitive":[67],"noise":[69],"flow":[72],"tiny":[74],"and":[76,82,89,114,121,160,210],"tunnels":[77],"prone":[79],"miscounting);":[81],"3)":[83],"naturally":[87,125],"delayed,":[88],"occur":[92],"when":[93],"have":[95,115],"not":[96],"yet":[97],"shown":[98],"significant":[99,108],"changes.":[100],"Surprisingly,":[101],"GPS-based":[103],"trajectories":[104,232],"can":[105,124,257],"also":[106],"exhibit":[107],"abnormal":[109],"patterns":[110],"superiority":[117,249],"fine":[119],"granularity":[120],"timeliness,":[122],"tackle":[126],"above":[128],"challenges.":[129],"In":[130],"this":[131],"paper,":[132],"we":[133],"present":[134],"a":[135,153,173,194,217,264],"novel":[136],"closure":[138,245,260],"framework":[140],"based":[141,156],"on":[142,157,241],"mining":[143],"semantics":[145,204],"trajectories,":[147,206],"called":[148],"T-Closure.":[149,251],"We":[150],"first":[151],"construct":[152],"heterogeneous":[154,188],"graph":[155,189],"trajectory":[159],"planned":[162],"route":[163],"extract":[165],"spatial-topological":[167],"property":[168],"each":[170],"trajectory,":[171],"node-level":[174],"auxiliary":[175,196,219],"task":[176,197,220],"proposed":[178],"guide":[180],"learning":[182],"feature":[184],"encoders.":[185],"A":[186],"multi-view":[187],"neural":[190],"network":[191],"(MVH-GNN)":[192],"with":[193,263],"graph-level":[195],"then":[199],"introduced":[200],"capture":[202],"intra-category":[208],"relevance":[209,230],"inter-category":[211],"interaction":[212],"both":[214],"considered.":[215],"Finally,":[216],"sequence-level":[218],"refines":[221],"ability":[223],"LSTM":[225],"modeling":[227],"semantic":[229],"among":[231],"while":[233],"enhancing":[234],"robustness":[236],"our":[238],"framework.":[239],"Experiments":[240],"four":[242],"real-world":[243],"datasets":[246],"demonstrate":[247],"Online":[252],"performance":[253],"shows":[254],"that":[255],"T-Closure":[256],"detect":[258],"7000+":[259],"events":[261],"monthly,":[262],"delay":[265],"within":[266],"1.5":[267],"hours.":[268]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}