{"id":"https://openalex.org/W2020630851","doi":"https://doi.org/10.1080/15472450500183789","title":"A Freeway Safety Strategy for Advanced Proactive Traffic Management","display_name":"A Freeway Safety Strategy for Advanced Proactive Traffic Management","publication_year":2005,"publication_date":"2005-07-01","ids":{"openalex":"https://openalex.org/W2020630851","doi":"https://doi.org/10.1080/15472450500183789","mag":"2020630851"},"language":"en","primary_location":{"id":"doi:10.1080/15472450500183789","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450500183789","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://stars.library.ucf.edu/scopus2000/3874","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070871302","display_name":"Anurag Pande","orcid":"https://orcid.org/0000-0002-3456-7932"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anurag Pande","raw_affiliation_strings":["a  University of Central Florida,  Department of Civil Engineering  , Orlando, Florida,  USA","University of Central Florida, Department of Civil Engineering , Orlando, Florida, USA"],"affiliations":[{"raw_affiliation_string":"a  University of Central Florida,  Department of Civil Engineering  , Orlando, Florida,  USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central Florida, Department of Civil Engineering , Orlando, Florida, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040847417","display_name":"Mohamed Abdel\u2010Aty","orcid":"https://orcid.org/0000-0002-4838-1573"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Abdel-Aty","raw_affiliation_strings":["a  University of Central Florida,  Department of Civil Engineering  , Orlando, Florida,  USA","University of Central Florida, Department of Civil Engineering , Orlando, Florida, USA"],"affiliations":[{"raw_affiliation_string":"a  University of Central Florida,  Department of Civil Engineering  , Orlando, Florida,  USA","institution_ids":["https://openalex.org/I106165777"]},{"raw_affiliation_string":"University of Central Florida, Department of Civil Engineering , Orlando, Florida, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070871302"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":6.0189,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95066996,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":"3","first_page":"145","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9976999759674072,"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":0.9976999759674072,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9937000274658203,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/crash","display_name":"Crash","score":0.7812830209732056},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.5873184204101562},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.46624770760536194},{"id":"https://openalex.org/keywords/poison-control","display_name":"Poison control","score":0.4439135193824768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43600353598594666},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.42007237672805786},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41896432638168335},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3798300623893738},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14103132486343384}],"concepts":[{"id":"https://openalex.org/C183469790","wikidata":"https://www.wikidata.org/wiki/Q333501","display_name":"Crash","level":2,"score":0.7812830209732056},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.5873184204101562},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.46624770760536194},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.4439135193824768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43600353598594666},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.42007237672805786},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41896432638168335},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3798300623893738},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14103132486343384},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/15472450500183789","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450500183789","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"},{"id":"pmh:oai:digitalcommons.calpoly.edu:cenv_fac-1228","is_oa":false,"landing_page_url":"https://digitalcommons.calpoly.edu/cenv_fac/226","pdf_url":null,"source":{"id":"https://openalex.org/S4377196328","display_name":"DigitalCommons - CalPoly (California State Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98947143","host_organization_name":"California State Polytechnic University","host_organization_lineage":["https://openalex.org/I98947143"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Civil and Environmental Engineering","raw_type":"text"},{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-4873","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/3874","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2000s","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:stars.library.ucf.edu:scopus2000-4873","is_oa":true,"landing_page_url":"https://stars.library.ucf.edu/scopus2000/3874","pdf_url":null,"source":{"id":"https://openalex.org/S4210172555","display_name":"Journal of International Crisis and Risk Communication Research","issn_l":"2576-0017","issn":["2576-0017","2576-0025"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus Export 2000s","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309978","display_name":"Florida Department of Transportation","ror":"https://ror.org/01v2vzt58"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W763354819","https://openalex.org/W1977025899","https://openalex.org/W2005564488","https://openalex.org/W2061344455","https://openalex.org/W2067022269","https://openalex.org/W2076983043","https://openalex.org/W2109886867","https://openalex.org/W2621281692","https://openalex.org/W2990646398","https://openalex.org/W3021114543"],"related_works":["https://openalex.org/W2985746494","https://openalex.org/W4206042385","https://openalex.org/W2511384863","https://openalex.org/W2080773131","https://openalex.org/W2096089271","https://openalex.org/W2923628599","https://openalex.org/W2014100433","https://openalex.org/W2051519658","https://openalex.org/W2994787386","https://openalex.org/W2002304499"],"abstract_inverted_index":{"Reactive":[0],"traffic":[1,53,96],"management":[2,20],"strategies":[3,31],"such":[4,36,270],"as":[5,37,111,159],"incident":[6],"detection":[7],"are":[8,161,165],"becoming":[9],"less":[10],"relevant":[11],"with":[12,46,169,204],"the":[13,22,66,124,127,131,142,162,195,207,221,242,274],"advancement":[14],"of":[15,49,73,105,144,146,153,172,191,198,215,244,277],"mobile":[16],"phone":[17],"usage.":[18],"Freeway":[19],"in":[21,75,149,231],"21st":[23],"century":[24],"needs":[25],"to":[26,42,114,206,227,269],"shift":[27],"focus":[28],"toward":[29],"proactive":[30],"that":[32,141,164],"include":[33],"anticipating":[34],"incidents":[35],"crashes.":[38,174],"A":[39],"simple":[40,83],"approach":[41],"identify":[43,241],"freeway":[44,245],"locations":[45,271],"high":[47,247],"probability":[48],"crashes":[50],"through":[51],"real-time":[52,232,275],"surveillance":[54],"data":[55,64],"is":[56,80,123,233],"presented":[57],"here.":[58],"The":[59,78,175,256],"crash":[60,192,208,216,229,250,257,278],"and":[61,134,155,259],"loop":[62,106,199],"detector":[63],"for":[65,119,249,267],"study":[67,93],"was":[68,139,218],"collected":[69],"from":[70,103,126],"36-mile":[71],"corridor":[72],"Interstate-4":[74],"Orlando,":[76],"Florida.":[77],"analysis":[79],"based":[81,182,272],"on":[82,130,183,187,273],"(one":[84],"covariate)":[85],"logistic":[86,177],"regression":[87,178],"models":[88,179],"developed":[89],"under":[90],"a":[91,101,224],"matched":[92],"design.":[94],"Individual":[95],"parameters":[97,163,203],"obtained":[98],"one":[99,239],"at":[100],"time":[102],"series":[104],"detectors":[107,200],"have":[108],"been":[109],"examined":[110],"potential":[112,170,248],"covariates":[113],"these":[115,202],"models.":[116,128],"Hazard":[117],"ratio":[118,133],"each":[120],"individual":[121],"covariate":[122],"output":[125],"Based":[129],"hazard":[132],"its":[135],"statistical":[136],"significance":[137],"it":[138],"found":[140],"log":[143],"coefficient":[145],"temporal":[147],"variation":[148],"speed,":[150],"standard":[151],"deviation":[152],"volume,":[154],"average":[156],"occupancy":[157],"expressed":[158],"percentage":[160],"most":[166],"critically":[167],"associated":[168],"occurrence":[171,251],"multivehicle":[173],"univariate":[176],"were":[180],"validated":[181],"their":[184],"classification":[185],"performance":[186],"an":[188],"independent":[189],"set":[190,262],"data.":[193],"Using":[194,220],"relative":[196],"location":[197,209],"measuring":[201],"respect":[205],"contour":[210],"maps":[211],"depicting":[212],"spatial-temporal":[213],"distribution":[214],"risk":[217,230],"generated.":[219],"model":[222],"outputs,":[223],"generic":[225],"strategy":[226,238],"assess":[228],"also":[234],"proposed.":[235],"With":[236],"this":[237],"can":[240,264],"segment":[243],"having":[246],"within":[252],"next":[253],"15\u201320":[254],"minutes.":[255],"mitigation":[258],"law":[260],"enforcement":[261],"up":[263],"be":[265],"prepared":[266],"dispatch":[268],"assessment":[276],"potential.":[279]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
