{"id":"https://openalex.org/W4408696746","doi":"https://doi.org/10.1109/itsc58415.2024.10919649","title":"Leveraging Clustering Methods for Enhancing Traffic Safety in the Era of Connected and Autonomous Vehicles in Calgary*","display_name":"Leveraging Clustering Methods for Enhancing Traffic Safety in the Era of Connected and Autonomous Vehicles in Calgary*","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408696746","doi":"https://doi.org/10.1109/itsc58415.2024.10919649"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10919649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","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/A5116732422","display_name":"Niloofar Kaviani","orcid":null},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Niloofar Kaviani","raw_affiliation_strings":["University of Calgary,Department of Civil Engineering,Calgary,Canada,AB T2N1N4"],"affiliations":[{"raw_affiliation_string":"University of Calgary,Department of Civil Engineering,Calgary,Canada,AB T2N1N4","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034389066","display_name":"Merkebe Getachew Demissie","orcid":"https://orcid.org/0000-0001-8402-9422"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Merkebe Getachew Demissie","raw_affiliation_strings":["University of Calgary,Department of Civil Engineering,Calgary,Canada,AB T2N1N4"],"affiliations":[{"raw_affiliation_string":"University of Calgary,Department of Civil Engineering,Calgary,Canada,AB T2N1N4","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016929022","display_name":"Lina Kattan","orcid":"https://orcid.org/0000-0002-7352-6607"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lina Kattan","raw_affiliation_strings":["University of Calgary,Department of Civil Engineering,Calgary,Canada,AB T2N1N4"],"affiliations":[{"raw_affiliation_string":"University of Calgary,Department of Civil Engineering,Calgary,Canada,AB T2N1N4","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5116732422"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30447103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1482","last_page":"1487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9890000224113464,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9890000224113464,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.9204999804496765,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.7627573013305664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6352128982543945},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.38061708211898804},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2427137792110443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22907695174217224}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7627573013305664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6352128982543945},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.38061708211898804},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2427137792110443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22907695174217224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10919649","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2793426294","display_name":null,"funder_award_id":"RT735236: RGPIN/03942-2020","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1523439439","https://openalex.org/W1560541823","https://openalex.org/W1895727713","https://openalex.org/W1976383685","https://openalex.org/W2122943553","https://openalex.org/W2271450618","https://openalex.org/W2312387783","https://openalex.org/W2523770745","https://openalex.org/W2554599086","https://openalex.org/W2894922550","https://openalex.org/W2943847575","https://openalex.org/W3120090127","https://openalex.org/W4206013083","https://openalex.org/W4206104632","https://openalex.org/W4304893000","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0,140],"research":[1,92,162],"investigates":[2],"at":[3],"how":[4],"clustering":[5],"techniques":[6],"can":[7],"be":[8],"used":[9],"to":[10,70,104,112,136,168,187],"improve":[11],"traffic":[12,32,97,145,176],"safety":[13,177],"in":[14,59,78,96],"Calgary,":[15],"with":[16,41],"a":[17,36,46,164],"focus":[18],"on":[19,87],"potential":[20],"applications":[21],"for":[22,117,166],"connected":[23],"and":[24,30,67,80,99,156],"autonomous":[25],"vehicles":[26],"(CAVs).":[27],"We":[28,119],"identified":[29],"analyzed":[31],"collision":[33,47,76],"hotspots":[34,77],"using":[35,45],"two-step":[37],"cluster":[38],"analysis":[39,172],"combined":[40,120],"association":[42,128],"rule":[43,129],"mining,":[44,130],"dataset":[48],"that":[49,102],"spanned":[50],"over":[51],"eight":[52],"years.":[53],"Our":[54,91,161],"approach":[55],"highlights":[56],"the":[57,65,100,153,180,188],"flexibility":[58],"managing":[60],"high-dimensional":[61],"information":[62],"by":[63,126,195],"applying":[64],"DBSCAN":[66],"COOLCAT":[68],"algorithms":[69],"identify":[71],"spatial":[72],"clusters":[73,85],"(namely":[74],"as":[75],"Calgary)":[79],"categorize":[81],"collisions":[82,98],"inside":[83],"these":[84,106,121],"based":[86],"categorical":[88],"data,":[89],"respectively.":[90],"reveals":[93],"important":[94],"trends":[95,107],"elements":[101],"lead":[103],"them;":[105],"were":[108],"then":[109],"investigated":[110],"further":[111],"create":[113],"realistic,":[114],"scenario-based":[115],"models":[116],"CAVs.":[118],"patterns":[122],"into":[123,174],"practical":[124],"insights":[125],"utilizing":[127],"which":[131],"encourages":[132],"preventive":[133],"measures":[134],"suited":[135],"certain":[137],"high-risk":[138],"situations.":[139],"strategy":[141],"not":[142],"only":[143],"improves":[144],"management":[146],"systems'":[147],"predictive":[148],"powers":[149],"but":[150],"also":[151],"helps":[152],"public":[154],"embrace":[155],"trust":[157],"future":[158],"CAV":[159],"technologies.":[160],"provides":[163],"roadmap":[165],"municipalities":[167],"incorporate":[169],"cutting-edge":[170],"data":[171],"methods":[173],"their":[175],"plans.":[178],"In":[179],"age":[181],"of":[182,190],"CAVs,":[183],"our":[184],"study":[185],"contributes":[186],"creation":[189],"safer":[191],"urban":[192],"mobility":[193],"solutions":[194],"giving":[196],"data-driven":[197],"insights.":[198]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
