{"id":"https://openalex.org/W2976735552","doi":"https://doi.org/10.1109/icdim.2018.8847135","title":"Mining Trajectory Data and Identifying Patterns for Taxi Movement Trips","display_name":"Mining Trajectory Data and Identifying Patterns for Taxi Movement Trips","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2976735552","doi":"https://doi.org/10.1109/icdim.2018.8847135","mag":"2976735552"},"language":"en","primary_location":{"id":"doi:10.1109/icdim.2018.8847135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2018.8847135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Thirteenth International Conference on Digital Information Management (ICDIM)","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/A5026547820","display_name":"Rami Ibrahim","orcid":"https://orcid.org/0000-0001-7167-4203"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Rami Ibrahim","raw_affiliation_strings":["School of Information Technology, Carleton University, Ottawa, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Carleton University, Ottawa, Ontario, Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087753797","display_name":"M. Omair Shafiq","orcid":"https://orcid.org/0000-0002-1859-8296"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Omair Shafiq","raw_affiliation_strings":["School of Information Technology, Carleton University, Ottawa, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"School of Information Technology, Carleton University, Ottawa, Ontario, Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026547820"],"corresponding_institution_ids":["https://openalex.org/I67031392"],"apc_list":null,"apc_paid":null,"fwci":0.367,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77284965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9994999766349792,"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":0.998199999332428,"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/T11106","display_name":"Data Management and Algorithms","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7894021272659302},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6848577260971069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6827941536903381},{"id":"https://openalex.org/keywords/geographic-coordinate-system","display_name":"Geographic coordinate system","score":0.6538456082344055},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.6237900853157043},{"id":"https://openalex.org/keywords/trips-architecture","display_name":"TRIPS architecture","score":0.6032716631889343},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5647240281105042},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5063556432723999},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4987304210662842},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49348270893096924},{"id":"https://openalex.org/keywords/urban-computing","display_name":"Urban computing","score":0.46563827991485596},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3586237132549286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24395841360092163},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1249573826789856},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1245245635509491},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11932492256164551}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7894021272659302},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6848577260971069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6827941536903381},{"id":"https://openalex.org/C123046963","wikidata":"https://www.wikidata.org/wiki/Q22664","display_name":"Geographic coordinate system","level":2,"score":0.6538456082344055},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.6237900853157043},{"id":"https://openalex.org/C157085824","wikidata":"https://www.wikidata.org/wiki/Q2384809","display_name":"TRIPS architecture","level":2,"score":0.6032716631889343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5647240281105042},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5063556432723999},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4987304210662842},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49348270893096924},{"id":"https://openalex.org/C2778459138","wikidata":"https://www.wikidata.org/wiki/Q7900107","display_name":"Urban computing","level":2,"score":0.46563827991485596},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3586237132549286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24395841360092163},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1249573826789856},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1245245635509491},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11932492256164551},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdim.2018.8847135","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdim.2018.8847135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Thirteenth International Conference on Digital Information Management (ICDIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W151377110","https://openalex.org/W1144063198","https://openalex.org/W1673310716","https://openalex.org/W1717467887","https://openalex.org/W1971402834","https://openalex.org/W1982838671","https://openalex.org/W1988580225","https://openalex.org/W2024221326","https://openalex.org/W2056638635","https://openalex.org/W2084971769","https://openalex.org/W2087330200","https://openalex.org/W2090702599","https://openalex.org/W2113298739","https://openalex.org/W2144506299","https://openalex.org/W2145457662","https://openalex.org/W2153458569","https://openalex.org/W2176629631","https://openalex.org/W2182491110","https://openalex.org/W2273947476","https://openalex.org/W2339065330","https://openalex.org/W2401939608","https://openalex.org/W2566482757","https://openalex.org/W2741571546","https://openalex.org/W2755527497","https://openalex.org/W2766632063","https://openalex.org/W2785131336","https://openalex.org/W2785992966","https://openalex.org/W2791526010","https://openalex.org/W2807960350"],"related_works":["https://openalex.org/W2126194848","https://openalex.org/W3001431193","https://openalex.org/W2955605379","https://openalex.org/W2067047813","https://openalex.org/W4366491531","https://openalex.org/W3090765184","https://openalex.org/W2989156809","https://openalex.org/W2904515274","https://openalex.org/W2024348445","https://openalex.org/W4320024144"],"abstract_inverted_index":{"In":[0,97],"past":[1],"years,":[2],"trajectory":[3,35,67],"data":[4,26,36,60,68],"generated":[5],"from":[6,31],"Automatic":[7],"Identification":[8],"System":[9],"(AIS)":[10],"networks":[11],"and":[12,27,53,77,94,143],"taxi":[13,34,109,116],"GPS":[14],"devices":[15],"increased":[16],"significantly.":[17],"There":[18],"is":[19,37,134],"a":[20,40,102,135],"high":[21],"demand":[22],"for":[23],"analyzing":[24],"this":[25,46,98],"extracting":[28],"the":[29,50,56,74,78,85,132],"knowledge":[30],"it.":[32],"Large-scale":[33],"represented":[38],"by":[39],"sequence":[41,47],"of":[42,80,91,108,123,137,141],"timestamped":[43],"geographical":[44],"locations,":[45],"starts":[48],"with":[49,55,125],"origin":[51],"point":[52,130],"ends":[54],"destination":[57],"point.":[58],"Applying":[59],"mining":[61],"techniques":[62],"such":[63],"as":[64],"clustering":[65],"on":[66],"can":[69,83],"provide":[70],"useful":[71],"information":[72],"about":[73],"movement":[75,106],"patterns":[76,107],"behavior":[79],"people.":[81],"Thus,":[82],"enhance":[84],"transportation":[86],"management":[87],"services":[88],"in":[89,111,131],"terms":[90],"urban":[92],"planning":[93],"environment":[95],"issues.":[96],"paper,":[99],"we":[100,114],"propose":[101],"methodology":[103],"which":[104,139],"extracts":[105],"trips":[110,117],"Porto,":[112],"Portugal.":[113],"cluster":[115],"using":[118],"Hierarchical":[119],"Density-Based":[120],"Spatial":[121],"Clustering":[122],"Applications":[124],"Noise":[126],"(HDBSCAN)":[127],"algorithm,":[128],"each":[129],"trip":[133],"pair":[136],"coordinates":[138],"consists":[140],"longitude":[142],"latitude":[144],"values.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}