{"id":"https://openalex.org/W2077496912","doi":"https://doi.org/10.1108/02635570610666412","title":"Using data mining to improve traffic safety programs","display_name":"Using data mining to improve traffic safety programs","publication_year":2006,"publication_date":"2006-06-01","ids":{"openalex":"https://openalex.org/W2077496912","doi":"https://doi.org/10.1108/02635570610666412","mag":"2077496912"},"language":"en","primary_location":{"id":"doi:10.1108/02635570610666412","is_oa":false,"landing_page_url":"https://doi.org/10.1108/02635570610666412","pdf_url":null,"source":{"id":"https://openalex.org/S37320504","display_name":"Industrial Management & Data Systems","issn_l":"0263-5577","issn":["0263-5577","1758-5783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Management &amp; Data 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/A5015230766","display_name":"Scott Solomon","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Solomon","raw_affiliation_strings":["Graduate Division of Business and Management, Department of Information Technology, Johns Hopkins University, Rockville, Maryland, USA","(Graduate Division of Business and Management, Department of Information Technology, Johns Hopkins University, Rockville, Maryland, USA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Division of Business and Management, Department of Information Technology, Johns Hopkins University, Rockville, Maryland, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"(Graduate Division of Business and Management, Department of Information Technology, Johns Hopkins University, Rockville, Maryland, USA)","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102185804","display_name":"Hang Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hang Nguyen","raw_affiliation_strings":["Graduate Division of Business and Management, Department of Information Technology, Johns Hopkins University, Rockville, Maryland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Division of Business and Management, Department of Information Technology, Johns Hopkins University, Rockville, Maryland, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101783713","display_name":"Jay Liebowitz","orcid":"https://orcid.org/0000-0001-9664-9960"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jay Liebowitz","raw_affiliation_strings":["Graduate Division of Business and Management, Department of Information Technology, Johns Hopkins University, Rockville, Maryland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Division of Business and Management, Department of Information Technology, Johns Hopkins University, Rockville, Maryland, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040364294","display_name":"William W. Agresti","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Agresti","raw_affiliation_strings":["Graduate Division of Business and Management, Department of Information Technology, Johns Hopkins University, Rockville, Maryland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Division of Business and Management, Department of Information Technology, Johns Hopkins University, Rockville, Maryland, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":5.7005,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.95082357,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"106","issue":"5","first_page":"621","last_page":"643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10370","display_name":"Traffic and Road Safety","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10698","display_name":"Transportation Planning and Optimization","score":0.973800003528595,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9700000286102295,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.5524390339851379},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4927347004413605},{"id":"https://openalex.org/keywords/originality","display_name":"Originality","score":0.4801889657974243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46038177609443665},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4397548735141754},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3869294822216034},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.38066428899765015},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3676746189594269},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.35216718912124634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33061766624450684},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27606838941574097}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5524390339851379},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4927347004413605},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.4801889657974243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46038177609443665},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4397548735141754},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3869294822216034},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.38066428899765015},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3676746189594269},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.35216718912124634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33061766624450684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27606838941574097},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C11012388","wikidata":"https://www.wikidata.org/wiki/Q170658","display_name":"Creativity","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/02635570610666412","is_oa":false,"landing_page_url":"https://doi.org/10.1108/02635570610666412","pdf_url":null,"source":{"id":"https://openalex.org/S37320504","display_name":"Industrial Management & Data Systems","issn_l":"0263-5577","issn":["0263-5577","1758-5783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Management &amp; Data Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W22171246","https://openalex.org/W593616852","https://openalex.org/W623608450","https://openalex.org/W1520618960","https://openalex.org/W1546647560","https://openalex.org/W1577607647","https://openalex.org/W1877644870","https://openalex.org/W1941655645","https://openalex.org/W1969753755","https://openalex.org/W1981420270","https://openalex.org/W1987776546","https://openalex.org/W1990844260","https://openalex.org/W2003919342","https://openalex.org/W2009340356","https://openalex.org/W2021980594","https://openalex.org/W2033791846","https://openalex.org/W2053352184","https://openalex.org/W2063264027","https://openalex.org/W2068090227","https://openalex.org/W2074256783","https://openalex.org/W2079377376","https://openalex.org/W2085174221","https://openalex.org/W2086606037","https://openalex.org/W2090074590","https://openalex.org/W2099816588","https://openalex.org/W2106482000","https://openalex.org/W2107047614","https://openalex.org/W2115402863","https://openalex.org/W2574095740","https://openalex.org/W6732406477"],"related_works":["https://openalex.org/W2593155302","https://openalex.org/W2041415459","https://openalex.org/W2072812638","https://openalex.org/W3126095231","https://openalex.org/W2352855287","https://openalex.org/W2378906650","https://openalex.org/W2384288445","https://openalex.org/W2382526412","https://openalex.org/W4200071106","https://openalex.org/W2347474189"],"abstract_inverted_index":{"Purpose":[0],"The":[1,37,136,173],"purpose":[2],"of":[3,12,78,86,96,103,115,138,150,157,166,175,225,231],"this":[4,184],"paper":[5,38,189,213],"is":[6],"to":[7,20,69,195,206],"demonstrate":[8],"how":[9,22],"the":[10,76,84,87,94,113,130,139,147,155,164,223,229],"use":[11],"data":[13,42,110,149,179],"mining":[14],"(DM)":[15],"analysis":[16,51,82,141],"can":[17,61,190],"be":[18],"used":[19],"evaluate":[21],"well":[23],"cameras":[24],"that":[25,60,227],"monitor":[26],"red\u2010light\u2010signal":[27,121],"controlled":[28,122],"intersections":[29,123],"improve":[30],"traffic":[31],"safety":[32],"by":[33,73,112],"reducing":[34],"fatalities.":[35],"Design/methodology/approach":[36],"demonstrates":[39],"several":[40],"different":[41],"modeling":[43],"techniques":[44],"\u2013":[45],"decision":[46,64],"trees,":[47],"neural":[48],"networks,":[49],"market\u2010basket":[50],"and":[52,126,152,159,162,168,220],"K\u2010means":[53,91],"models.":[54],"Decision":[55],"trees":[56],"build":[57],"rule":[58],"sets":[59,180],"abet":[62],"future":[63,71],"making.":[65],"Neural":[66],"networks":[67],"try":[68],"predict":[70],"outcomes":[72],"looking":[74],"at":[75,120],"effects":[77],"historical":[79],"inputs.":[80],"Market\u2010basket":[81],"shows":[83],"strength":[85],"relationships":[88,145],"between":[89,146,163],"variables.":[90,101],"models":[92,105],"weigh":[93],"impact":[95],"homogenous":[97],"clusters":[98],"on":[99],"target":[100],"All":[102],"these":[104],"are":[106,181],"demonstrated":[107],"using":[108],"real":[109],"gathered":[111],"Department":[114],"Transportation":[116],"from":[117,129],"fatal":[118,153,160,169],"accidents":[119,161],"in":[124,183,218],"Maryland":[125],"Washington,":[127],"DC":[128],"year":[131],"2000":[132],"through":[133],"2003.":[134],"Findings":[135],"results":[137],"DM":[140,219],"will":[142],"show":[143],"predictable":[144],"demographic":[148],"drivers":[151],"accidents;":[154],"type":[156],"collision":[158],"time":[165],"day":[167],"accidents.":[170],"Research":[171],"limitations/implications":[172],"limitations":[174],"missing":[176],"or":[177,203],"incomplete":[178],"addressed":[182],"paper.":[185],"Practical":[186],"implications":[187],"This":[188,212],"act":[191],"as":[192,235],"a":[193],"guide":[194],"follow":[196],"for":[197],"red":[198,232],"light":[199],"camera":[200,233],"program":[201],"managers":[202],"local":[204],"municipalities":[205],"conduct":[207],"their":[208],"own":[209],"analysis.":[210],"Originality/value":[211],"builds":[214],"upon":[215],"prior":[216],"research":[217,226],"also":[221],"extends":[222],"body":[224],"examines":[228],"effectiveness":[230],"programs":[234],"they":[236],"mature.":[237]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
