{"id":"https://openalex.org/W7223673481","doi":"https://doi.org/10.1177/03611981261487419","title":"Artificial Intelligence-Enhanced Connected Structural Health Monitoring of Traffic Signal Mast-Arm Structure Population within Vehicle-to-Everything Infrastructure","display_name":"Artificial Intelligence-Enhanced Connected Structural Health Monitoring of Traffic Signal Mast-Arm Structure Population within Vehicle-to-Everything Infrastructure","publication_year":2026,"publication_date":"2026-10-26","ids":{"openalex":"https://openalex.org/W7223673481","doi":"https://doi.org/10.1177/03611981261487419"},"language":"en","primary_location":{"id":"doi:10.1177/03611981261487419","doi":"https://doi.org/10.1177/03611981261487419","is_oa":false,"landing_page_url":"https://doi.org/10.1177/03611981261487419","pdf_url":null,"source":{"id":"https://openalex.org/S145575934","display_name":"Transportation Research Record Journal of the Transportation Research Board","issn_l":"0361-1981","issn":["0361-1981","2169-4052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-scientific","cwts-core","dongbi-b","jufo-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transportation Research Record: Journal of the Transportation Research Board","raw_type":"journal-article"},"volume":null,"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/A5036760644","display_name":"Mahta Zakaria","orcid":"https://orcid.org/0000-0001-8013-6036","observed_orcids":["https://orcid.org/0000-0001-8013-6036"]},"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":"Mahta Zakaria","raw_affiliation_strings":["Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, USA"],"raw_orcid":"https://orcid.org/0000-0001-8013-6036","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/A5107159680","display_name":"Inad Alqurashi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I179331831","display_name":"Taif University","ror":"https://ror.org/014g1a453","country_code":"SA","type":"education","lineage":["https://openalex.org/I179331831"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Inad Alqurashi","raw_affiliation_strings":["Civil Engineering Department, Taif University, Taif, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Civil Engineering Department, Taif University, Taif, Saudi Arabia","institution_ids":["https://openalex.org/I179331831"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071812268","display_name":"F. Necati \u00c7atba\u015f","orcid":"https://orcid.org/0000-0001-9255-9976","observed_orcids":["https://orcid.org/0000-0001-9255-9976"]},"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":"F. Necati Catbas","raw_affiliation_strings":["Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, USA"],"raw_orcid":"https://orcid.org/0000-0001-9255-9976","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":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071812268"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":{"value":3650,"currency":"USD","value_usd":3650},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7673522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9994999766349792,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9994999766349792,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.0005000000237487257,"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/T14304","display_name":"Transport Systems and Technology","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/structural-health-monitoring","display_name":"structural health monitoring","score":0.9729999899864197},{"id":"https://openalex.org/keywords/vehicle-to-everything-communication","display_name":"vehicle-to-everything communication","score":0.9229999780654907},{"id":"https://openalex.org/keywords/vibration-based-damage-detection","display_name":"vibration-based damage detection","score":0.8539999723434448},{"id":"https://openalex.org/keywords/edge-computing","display_name":"edge computing","score":0.796999990940094},{"id":"https://openalex.org/keywords/feedforward-neural-networks","display_name":"feedforward neural networks","score":0.7480000257492065},{"id":"https://openalex.org/keywords/condition-assessment","display_name":"condition assessment","score":0.6299999952316284},{"id":"https://openalex.org/keywords/change-point-detection","display_name":"change point detection","score":0.8240000009536743},{"id":"https://openalex.org/keywords/isotonic-regression","display_name":"isotonic regression","score":0.9599999785423279},{"id":"https://openalex.org/keywords/automated-inspection","display_name":"automated inspection","score":0.7490000128746033},{"id":"https://openalex.org/keywords/infrastructure-deterioration","display_name":"infrastructure deterioration","score":0.421999990940094},{"id":"https://openalex.org/keywords/telematics","display_name":"telematics","score":0.7509999871253967}],"concepts":[{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.6499999761581421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6021999716758728},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5259000062942505},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5098999738693237},{"id":"https://openalex.org/C2777548347","wikidata":"https://www.wikidata.org/wiki/Q5456937","display_name":"Flagging","level":2,"score":0.4828999936580658},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4722000062465668},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.4544999897480011},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4262999892234802},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.39730000495910645},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3935999870300293},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3912000060081482},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.37540000677108765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36719998717308044},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.3547999858856201},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3328999876976013},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3075000047683716},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.28119999170303345},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2800999879837036},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C20136886","wikidata":"https://www.wikidata.org/wiki/Q749647","display_name":"Interoperability","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/03611981261487419","doi":"https://doi.org/10.1177/03611981261487419","is_oa":false,"landing_page_url":"https://doi.org/10.1177/03611981261487419","pdf_url":null,"source":{"id":"https://openalex.org/S145575934","display_name":"Transportation Research Record Journal of the Transportation Research Board","issn_l":"0361-1981","issn":["0361-1981","2169-4052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-scientific","cwts-core","dongbi-b","jufo-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transportation Research Record: Journal of the Transportation Research Board","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":1.0,"display_name":"Industry, innovation and infrastructure"},{"id":"https://metadata.un.org/sdg/11","score":0.7250000238418579,"display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W645296132","https://openalex.org/W1979557034","https://openalex.org/W2023835067","https://openalex.org/W2074862360","https://openalex.org/W2102697953","https://openalex.org/W2116449144","https://openalex.org/W2157646602","https://openalex.org/W2282713403","https://openalex.org/W2324250482","https://openalex.org/W2335616726","https://openalex.org/W2794174597","https://openalex.org/W2998898452","https://openalex.org/W3009600905","https://openalex.org/W3052127205","https://openalex.org/W3134279451","https://openalex.org/W3183660758","https://openalex.org/W3186285124","https://openalex.org/W3203813005","https://openalex.org/W4220957841","https://openalex.org/W4293191997","https://openalex.org/W4295259909","https://openalex.org/W4309003771","https://openalex.org/W4309113435","https://openalex.org/W4313417289","https://openalex.org/W4382456690","https://openalex.org/W4385493848","https://openalex.org/W4392519930","https://openalex.org/W4400340432","https://openalex.org/W4401322707","https://openalex.org/W4401754300","https://openalex.org/W4402236503","https://openalex.org/W4404772818","https://openalex.org/W4406738785","https://openalex.org/W4407247004","https://openalex.org/W4413060000","https://openalex.org/W4414039422","https://openalex.org/W4415307479","https://openalex.org/W7124854593"],"related_works":["https://openalex.org/W7215048530","https://openalex.org/W4414596528","https://openalex.org/W7007805325","https://openalex.org/W7202276083","https://openalex.org/W7131093953","https://openalex.org/W7170139890","https://openalex.org/W7136843828","https://openalex.org/W7162212205","https://openalex.org/W4292261601","https://openalex.org/W7169839204"],"abstract_inverted_index":{"Manual":[0],"inspection":[1,241],"of":[2,103,115,117,133,156,165,170,180],"constructed":[3],"infrastructure":[4,225,255],"assets":[5],"remains":[6,260],"labor-intensive,":[7],"subjective,":[8],"and":[9,17,22,43,90,120,125,129,136,150,159,168,195,229,243,254],"poorly":[10],"suited":[11],"for":[12,29,56,99,122,184,215,226,248],"large-scale":[13],"automation":[14],"across":[15],"construction":[16,250],"maintenance":[18],"lifecycles.":[19],"Although":[20],"vibration-based":[21,73],"artificial":[23],"intelligence":[24],"(AI)-driven":[25],"methods":[26],"offer":[27],"potential":[28,237],"automated":[30,100,154],"inspection,":[31,251],"their":[32],"adoption":[33],"has":[34,235],"been":[35],"constrained":[36],"by":[37],"sensor":[38,141],"deployment":[39],"complexity,":[40],"data-management":[41],"burden,":[42],"limited":[44],"integration":[45],"with":[46,113],"operational":[47,271],"digital":[48,224],"workflows.":[49],"This":[50],"paper":[51],"presents":[52],"a":[53,94,245,261],"methodological":[54,70,233],"framework":[55,234],"AI-enhanced":[57],"connected":[58],"structural":[59],"health":[60],"monitoring":[61],"(SHM),":[62],"whose":[63],"primary":[64],"novelty":[65],"lies":[66],"in":[67,199],"integrating":[68,147],"established":[69],"components,":[71],"including":[72,190],"feature":[74,78],"extraction,":[75],"physics-informed":[76],"modal":[77],"engineering,":[79],"conventional":[80],"feedforward":[81],"neural-network":[82],"(NN)":[83],"regressors,":[84],"edge":[85,210],"computing,":[86],"vehicle-to-everything":[87],"(V2X)":[88],"middleware,":[89],"telematics-based":[91],"visualization,":[92],"into":[93],"unified":[95],"V2X-enabled":[96],"SHM":[97,217],"workflow":[98],"condition":[101,256],"assessment":[102],"traffic-signal":[104],"mast-arm":[105,126],"structures.":[106],"Validation":[107],"results":[108],"demonstrate":[109],"strong":[110],"predictive":[111],"performance,":[112],"coefficients":[114],"determination":[116],"0.91,":[118],"0.98,":[119],"0.70":[121],"base,":[123],"mid-arm,":[124],"regions,":[127],"respectively,":[128,138],"mean":[130],"absolute":[131],"errors":[132],"0.038,":[134],"0.020,":[135],"0.052,":[137],"under":[139,200,269],"realistic":[140],"noise.":[142],"A":[143],"data-driven":[144],"alerting":[145],"strategy,":[146],"isotonic":[148],"regression":[149],"change-point":[151],"detection,":[152],"enables":[153],"classification":[155],"normal,":[157],"warning,":[158],"critical":[160],"conditions,":[161],"correctly":[162],"identifying":[163],"86%":[164],"undamaged":[166],"cases":[167,173],"72%":[169],"critically":[171],"damaged":[172],"while":[174],"conservatively":[175],"flagging":[176],"more":[177],"than":[178],"99%":[179],"severe":[181],"deterioration":[182],"scenarios":[183],"intervention.":[185],"The":[186],"complete":[187],"analytical":[188],"pipeline,":[189],"signal":[191],"processing,":[192],"NN":[193],"inference,":[194],"threshold":[196],"evaluation,":[197],"executes":[198],"5":[201],"ms":[202],"per":[203],"analysis":[204],"window":[205],"on":[206],"central":[207],"processing":[208],"unit-only":[209],"hardware,":[211],"indicating":[212],"computational":[213],"feasibility":[214],"edge-based":[216],"without":[218],"cloud":[219],"dependency.":[220],"By":[221],"reusing":[222],"existing":[223],"sensing,":[227],"analytics,":[228],"reporting,":[230],"the":[231,236],"proposed":[232],"to":[238,265],"reduce":[239],"manual":[240],"burden":[242],"provides":[244],"practical":[246],"pathway":[247],"supporting":[249],"post-construction":[252],"verification,":[253],"assessment.":[257],"Field":[258],"validation":[259],"necessary":[262],"next":[263],"step":[264],"evaluate":[266],"long-term":[267],"performance":[268],"real":[270],"conditions.":[272]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-10-27T00:00:00"}