{"id":"https://openalex.org/W3032399050","doi":"https://doi.org/10.1109/tits.2020.2994126","title":"Modeling Real-Time Cycle-Level Crash Risk at Signalized Intersections Based on High-Resolution Event-Based Data","display_name":"Modeling Real-Time Cycle-Level Crash Risk at Signalized Intersections Based on High-Resolution Event-Based Data","publication_year":2020,"publication_date":"2020-05-28","ids":{"openalex":"https://openalex.org/W3032399050","doi":"https://doi.org/10.1109/tits.2020.2994126","mag":"3032399050"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.2994126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.2994126","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/A5080479612","display_name":"Jinghui Yuan","orcid":"https://orcid.org/0000-0003-0895-1997"},"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":"Jinghui Yuan","raw_affiliation_strings":["Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA"],"raw_orcid":"https://orcid.org/0000-0003-0895-1997","affiliations":[{"raw_affiliation_string":"Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","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 A. Abdel-Aty","raw_affiliation_strings":["Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-4838-1573","affiliations":[{"raw_affiliation_string":"Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072215524","display_name":"Lishengsa Yue","orcid":"https://orcid.org/0000-0002-0864-0075"},"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":"Lishengsa Yue","raw_affiliation_strings":["Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-0864-0075","affiliations":[{"raw_affiliation_string":"Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050998044","display_name":"Qing Cai","orcid":"https://orcid.org/0000-0003-0822-2268"},"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":"Qing Cai","raw_affiliation_strings":["Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA"],"raw_orcid":"https://orcid.org/0000-0003-0822-2268","affiliations":[{"raw_affiliation_string":"Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":2.9162,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.90172841,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"11","first_page":"6700","last_page":"6715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10370","display_name":"Traffic and Road Safety","score":0.9993000030517578,"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/T10524","display_name":"Traffic control and management","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.512817919254303},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4923199415206909},{"id":"https://openalex.org/keywords/crash","display_name":"Crash","score":0.48430219292640686},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.4432532787322998},{"id":"https://openalex.org/keywords/induction-loop","display_name":"Induction loop","score":0.43445122241973877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43116337060928345},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37585681676864624},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.33816251158714294},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33785608410835266},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3209840655326843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17997008562088013},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.1776597797870636},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12194690108299255},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11506077647209167}],"concepts":[{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.512817919254303},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4923199415206909},{"id":"https://openalex.org/C183469790","wikidata":"https://www.wikidata.org/wiki/Q333501","display_name":"Crash","level":2,"score":0.48430219292640686},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.4432532787322998},{"id":"https://openalex.org/C8406815","wikidata":"https://www.wikidata.org/wiki/Q2163913","display_name":"Induction loop","level":3,"score":0.43445122241973877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43116337060928345},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37585681676864624},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33816251158714294},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33785608410835266},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3209840655326843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17997008562088013},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.1776597797870636},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12194690108299255},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11506077647209167},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2020.2994126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.2994126","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":0.6000000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W220627656","https://openalex.org/W1875061881","https://openalex.org/W1906631552","https://openalex.org/W1977025899","https://openalex.org/W2009702434","https://openalex.org/W2047991958","https://openalex.org/W2060661883","https://openalex.org/W2067022269","https://openalex.org/W2081643473","https://openalex.org/W2091709668","https://openalex.org/W2104349879","https://openalex.org/W2120153268","https://openalex.org/W2150671137","https://openalex.org/W2156271471","https://openalex.org/W2303647797","https://openalex.org/W2498119267","https://openalex.org/W2593201274","https://openalex.org/W2731770569","https://openalex.org/W2768615394","https://openalex.org/W2781529943","https://openalex.org/W2790985840","https://openalex.org/W2792648232","https://openalex.org/W2803620540","https://openalex.org/W2803820870","https://openalex.org/W2806801348","https://openalex.org/W2889783507","https://openalex.org/W2895725611","https://openalex.org/W2913766863","https://openalex.org/W2925648085","https://openalex.org/W2935760944","https://openalex.org/W2991137082","https://openalex.org/W3103962140","https://openalex.org/W3125937743"],"related_works":["https://openalex.org/W4382935611","https://openalex.org/W2059849525","https://openalex.org/W1982014942","https://openalex.org/W2053400739","https://openalex.org/W2375665878","https://openalex.org/W2043047493","https://openalex.org/W791162861","https://openalex.org/W602866379","https://openalex.org/W1992042924","https://openalex.org/W2122596006"],"abstract_inverted_index":{"In":[0,83],"the":[1,14,26,38,55,70,86,157,163,202,226],"context":[2],"of":[3,13,25,28,109,204,228],"pro-active":[4],"traffic":[5,29,39,52,116,123,184],"management,":[6],"real-time":[7,59,110],"crash":[8,60,205,229],"risk":[9,61],"evaluation":[10],"is":[11],"one":[12],"most":[15],"critical":[16],"components.":[17],"Signalized":[18],"intersections":[19,43,65],"are":[20,48],"well-known":[21],"high-risk":[22],"locations":[23],"because":[24],"variety":[27],"movements,":[30],"modes,":[31],"and":[32,121,127,132,139,148,195,217],"their":[33],"interactions.":[34],"Unlike":[35],"access-controlled":[36],"freeways,":[37],"flow":[40,176],"at":[41,63,207],"signalized":[42,64,208],"presents":[44],"cyclical":[45],"characteristics,":[46,131],"which":[47],"temporally":[49],"separated":[50],"by":[51],"signals.":[53],"Therefore,":[54],"data":[56,99],"preparation":[57],"for":[58],"prediction":[62],"should":[66],"be":[67],"based":[68,95],"on":[69,96,181],"signal":[71,88,118],"cycle":[72,172,193],"rather":[73],"than":[74,162],"a":[75],"predefined":[76],"fixed":[77],"time":[78],"interval":[79],"(e.g.,":[80],"5":[81],"minutes).":[82],"this":[84],"research,":[85],"corresponding":[87],"cycles":[89],"where":[90],"crashes":[91],"occurred":[92],"were":[93,113,142],"verified":[94],"high-resolution":[97],"event-based":[98],"(i.e.,":[100],"Automated":[101],"Traffic":[102],"Signal":[103],"Performance":[104],"Measures":[105],"(ATSPM)).":[106],"Six":[107],"types":[108],"cycle-level":[111],"factors":[112],"considered,":[114],"including":[115],"volume,":[117,173],"timing,":[119],"headway":[120],"occupancy,":[122],"variation":[124],"between":[125],"upstream":[126],"downstream":[128],"detectors,":[129],"shockwave":[130,221],"weather.":[133],"Two":[134],"undersampling":[135,159],"strategies,":[136],"matched":[137,164],"case-control":[138,165],"random":[140,158],"undersampling,":[141],"utilized":[143],"to":[144,224],"develop":[145],"conditional":[146],"logistic":[147,150],"binary":[149],"models,":[151],"respectively.":[152],"Model":[153],"results":[154],"indicate":[155],"that":[156,170],"performs":[160],"better":[161],"method.":[166],"It":[167],"was":[168],"found":[169],"higher":[171,218],"overall":[174],"average":[175],"ratio":[177,198],"across":[178,186],"lanes,":[179],"arrivals":[180],"yellow":[182],"ratio,":[183],"volatility":[185],"approach":[187],"sections,":[188],"as":[189,191],"well":[190],"longer":[192,211],"length":[194],"lower":[196],"green":[197],"could":[199],"significantly":[200],"increase":[201,225],"odds":[203,227],"occurrence":[206],"intersections.":[209],"Moreover,":[210],"maximum":[212],"queue":[213],"length,":[214],"bigger":[215],"shockwave,":[216],"absolute":[219],"queuing":[220],"speed":[222],"tend":[223],"occurrence.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}