{"id":"https://openalex.org/W2530219696","doi":"https://doi.org/10.1109/tits.2016.2614350","title":"A New Clustering Algorithm for Processing GPS-Based Road Anomaly Reports With a Mahalanobis Distance","display_name":"A New Clustering Algorithm for Processing GPS-Based Road Anomaly Reports With a Mahalanobis Distance","publication_year":2016,"publication_date":"2016-10-12","ids":{"openalex":"https://openalex.org/W2530219696","doi":"https://doi.org/10.1109/tits.2016.2614350","mag":"2530219696"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2016.2614350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2016.2614350","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/A5037274043","display_name":"Zhaojian Li","orcid":"https://orcid.org/0000-0002-0189-8719"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhaojian Li","raw_affiliation_strings":["Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":"https://orcid.org/0000-0002-0189-8719","affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015550681","display_name":"Dimitar Filev","orcid":"https://orcid.org/0000-0001-7127-6782"},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitar P. Filev","raw_affiliation_strings":["Research and Advanced Engineering, Ford Motor Company, Dearborn, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Advanced Engineering, Ford Motor Company, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078022728","display_name":"Ilya Kolmanovsky","orcid":"https://orcid.org/0000-0002-7225-4160"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ilya Kolmanovsky","raw_affiliation_strings":["Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000130413","display_name":"Ella Atkins","orcid":"https://orcid.org/0000-0003-2132-6256"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ella Atkins","raw_affiliation_strings":["Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Aerospace Engineering, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021950355","display_name":"Jianbo L\u01da","orcid":"https://orcid.org/0000-0001-9088-5663"},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianbo Lu","raw_affiliation_strings":["Research and Advanced Engineering, Ford Motor Company, Dearborn, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research and Advanced Engineering, Ford Motor Company, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.305,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.96861354,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"18","issue":"7","first_page":"1980","last_page":"1988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9944000244140625,"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":0.9767000079154968,"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/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.9291151762008667},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8252643346786499},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6654931306838989},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6099233627319336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5982815027236938},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5712303519248962},{"id":"https://openalex.org/keywords/distance-matrix","display_name":"Distance matrix","score":0.48610615730285645},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.46525058150291443},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4519422650337219},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4450143575668335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42511850595474243},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.41847968101501465},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.41517531871795654},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.36282259225845337}],"concepts":[{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.9291151762008667},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8252643346786499},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6654931306838989},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6099233627319336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5982815027236938},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5712303519248962},{"id":"https://openalex.org/C111208986","wikidata":"https://www.wikidata.org/wiki/Q901698","display_name":"Distance matrix","level":2,"score":0.48610615730285645},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.46525058150291443},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4519422650337219},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4450143575668335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42511850595474243},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.41847968101501465},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.41517531871795654},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.36282259225845337},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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/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.2016.2614350","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2016.2614350","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":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307103","display_name":"Ford Motor Company","ror":"https://ror.org/00g2tkw06"},{"id":"https://openalex.org/F4320309652","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1529021355","https://openalex.org/W1540596182","https://openalex.org/W1545491817","https://openalex.org/W1987801991","https://openalex.org/W2017078616","https://openalex.org/W2018556034","https://openalex.org/W2110409892","https://openalex.org/W2113076747","https://openalex.org/W2132763547","https://openalex.org/W2138865041","https://openalex.org/W2139450862","https://openalex.org/W2150593711","https://openalex.org/W2156499390","https://openalex.org/W2168463792","https://openalex.org/W2170936641","https://openalex.org/W2337416105","https://openalex.org/W2488368213","https://openalex.org/W2506944451","https://openalex.org/W3176049587","https://openalex.org/W4232396098","https://openalex.org/W4237611199","https://openalex.org/W6647172677","https://openalex.org/W6676258373","https://openalex.org/W6683136438"],"related_works":["https://openalex.org/W2559422900","https://openalex.org/W2807748361","https://openalex.org/W2171610853","https://openalex.org/W3144143113","https://openalex.org/W2025839902","https://openalex.org/W3022637481","https://openalex.org/W2491448268","https://openalex.org/W2892323093","https://openalex.org/W3120229345","https://openalex.org/W2140530403"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"a":[3,46],"new":[4,47],"clustering":[5,72],"algorithm":[6,73],"for":[7,66,81],"processing":[8],"time-evolving":[9],"road":[10,34],"anomaly":[11],"reports.":[12],"Two":[13],"cluster":[14],"categories,":[15],"main":[16],"and":[17,49,58,78],"outlier,":[18],"are":[19,55],"defined":[20],"to":[21,28,41,89],"deal":[22],"with":[23],"outliers":[24],"as":[25,27],"well":[26],"capture":[29],"the":[30,43,50,59,91,94],"evolving":[31],"nature":[32],"of":[33,93],"anomalies.":[35,84],"The":[36,53,70],"Mahalanobis":[37],"distance":[38],"is":[39,64,87],"exploited":[40],"quantify":[42],"similarity":[44],"between":[45],"report":[48],"existing":[51],"clusters.":[52],"clusters":[54],"maintained":[56],"online":[57],"Woodbury":[60],"matrix":[61],"inverse":[62],"lemma":[63],"used":[65],"their":[67],"recursive":[68],"updates.":[69],"proposed":[71,95],"can":[74],"localize":[75],"isolated":[76],"anomalies":[77],"compress":[79],"information":[80],"densely":[82],"distributed":[83],"A":[85],"simulation":[86],"presented":[88],"demonstrate":[90],"efficacy":[92],"algorithm.":[96]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}