{"id":"https://openalex.org/W2765525777","doi":"https://doi.org/10.1109/tits.2017.2754401","title":"Recognizing Network Trip Patterns Using a Spatio-Temporal Vehicle Trajectory Clustering Algorithm","display_name":"Recognizing Network Trip Patterns Using a Spatio-Temporal Vehicle Trajectory Clustering Algorithm","publication_year":2017,"publication_date":"2017-10-24","ids":{"openalex":"https://openalex.org/W2765525777","doi":"https://doi.org/10.1109/tits.2017.2754401","mag":"2765525777"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2017.2754401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2017.2754401","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5109269886","display_name":"Zihan Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zihan Hong","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383143","display_name":"Ying Chen","orcid":"https://orcid.org/0009-0008-8183-6729"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Chen","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026147899","display_name":"Hani S. Mahmassani","orcid":"https://orcid.org/0000-0002-8443-8928"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hani S. Mahmassani","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-8443-8928","affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109269886"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":1.6777,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.85781474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":"8","first_page":"2548","last_page":"2557"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9976000189781189,"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":0.9975000023841858,"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":0.8375489711761475},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7634485960006714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6838173866271973},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5580358505249023},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5178742408752441},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4979081153869629},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.42881447076797485},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3903995752334595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30542436242103577}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8375489711761475},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7634485960006714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6838173866271973},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5580358505249023},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5178742408752441},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4979081153869629},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.42881447076797485},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3903995752334595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30542436242103577},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2017.2754401","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2017.2754401","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W204348808","https://openalex.org/W423205263","https://openalex.org/W1502063784","https://openalex.org/W1559632079","https://openalex.org/W1587157435","https://openalex.org/W1634255221","https://openalex.org/W1821242282","https://openalex.org/W1964786750","https://openalex.org/W1965374212","https://openalex.org/W1971022913","https://openalex.org/W1977514375","https://openalex.org/W1977556410","https://openalex.org/W1981398125","https://openalex.org/W1982467666","https://openalex.org/W1990743832","https://openalex.org/W1995639191","https://openalex.org/W2004700538","https://openalex.org/W2007159514","https://openalex.org/W2009752994","https://openalex.org/W2015529800","https://openalex.org/W2018277822","https://openalex.org/W2031128290","https://openalex.org/W2047216628","https://openalex.org/W2060346657","https://openalex.org/W2062004550","https://openalex.org/W2085285568","https://openalex.org/W2090702599","https://openalex.org/W2095897464","https://openalex.org/W2097139746","https://openalex.org/W2097268493","https://openalex.org/W2100526409","https://openalex.org/W2113458380","https://openalex.org/W2126194848","https://openalex.org/W2128947491","https://openalex.org/W2141136363","https://openalex.org/W2147880780","https://openalex.org/W2150593711","https://openalex.org/W2160642098","https://openalex.org/W2215001229","https://openalex.org/W2335847759","https://openalex.org/W2562836854","https://openalex.org/W3101926409","https://openalex.org/W3102554538","https://openalex.org/W4239785091","https://openalex.org/W4247105055","https://openalex.org/W6608347253","https://openalex.org/W6614686411","https://openalex.org/W6635259333","https://openalex.org/W6675160116","https://openalex.org/W6702958844","https://openalex.org/W6730713231"],"related_works":["https://openalex.org/W2788408146","https://openalex.org/W2250940075","https://openalex.org/W2113699712","https://openalex.org/W3208805915","https://openalex.org/W162659631","https://openalex.org/W4293057800","https://openalex.org/W2347234708","https://openalex.org/W2625601144","https://openalex.org/W2769416790","https://openalex.org/W2557714193"],"abstract_inverted_index":{"This":[0],"paper":[1,114],"presents":[2],"a":[3,54,74],"spatio-temporal":[4,92,110,124],"trajectory":[5,75],"clustering":[6,125],"method":[7],"for":[8,126],"vehicle":[9,127],"trajectories":[10,63],"in":[11,38,78],"transportation":[12],"networks":[13],"to":[14,31,57,88,116],"identify":[15,96],"heterogeneous":[16],"trip":[17,97],"patterns":[18],"and":[19,35,47,64,90,95,106,121],"explore":[20],"underlying":[21],"network":[22,56],"assignment":[23],"mechanisms.":[24],"The":[25,68,82],"proposed":[26,69],"algorithm":[27,70],"ST-TOPOSCAN":[28],"is":[29,71],"designed":[30],"consider":[32],"both":[33],"temporal":[34],"spatial":[36],"information":[37],"trajectories.":[39,128],"We":[40],"adopt":[41],"the":[42,59,66,79,85,103],"time-dependent":[43],"shortest-path":[44],"distance":[45],"measurement":[46],"take":[48],"advantage":[49],"of":[50,53],"topological":[51],"relations":[52],"predefined":[55],"discover":[58],"shared":[60],"sub-paths":[61],"among":[62],"construct":[65],"clusters.":[67],"implemented":[72],"with":[73],"dataset":[76],"obtained":[77],"Chicago":[80],"area.":[81],"results":[83],"confirm":[84],"method's":[86,104],"ability":[87],"extract":[89],"generate":[91],"(sub-)trajectory":[93],"clusters":[94],"patterns.":[98],"Extensive":[99],"numerical":[100],"experiments":[101],"verify":[102],"performance":[105],"computational":[107],"efficiency.":[108],"Through":[109],"data":[111],"mining,":[112],"this":[113],"contributes":[115],"exploring":[117],"traffic":[118],"system":[119],"dynamics":[120],"advancing":[122],"state-of-the-art":[123]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}