{"id":"https://openalex.org/W4390290634","doi":"https://doi.org/10.1061/jccee5.cpeng-5406","title":"A GAN-Augmented CNN Approach for Automated Roadside Safety Assessment of Rural Roadways","display_name":"A GAN-Augmented CNN Approach for Automated Roadside Safety Assessment of Rural Roadways","publication_year":2023,"publication_date":"2023-12-27","ids":{"openalex":"https://openalex.org/W4390290634","doi":"https://doi.org/10.1061/jccee5.cpeng-5406"},"language":"en","primary_location":{"id":"doi:10.1061/jccee5.cpeng-5406","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-5406","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","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/A5038827283","display_name":"Ali Hassandokht Mashhadi","orcid":"https://orcid.org/0000-0002-7792-4645"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Hassandokht Mashhadi","raw_affiliation_strings":["Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT 84112 (corresponding author). ORCID: "],"raw_orcid":"https://orcid.org/0000-0002-7792-4645","affiliations":[{"raw_affiliation_string":"Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT 84112 (corresponding author). ORCID: ","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003504268","display_name":"Abbas Rashidi","orcid":"https://orcid.org/0000-0002-4342-0588"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abbas Rashidi","raw_affiliation_strings":["Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT 84112"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT 84112","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065006145","display_name":"Nikola Markovi\u0107","orcid":"https://orcid.org/0000-0003-0883-2701"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikola Markovi\u0107","raw_affiliation_strings":["Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT 84112"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT 84112","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":2.5147,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88677344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"38","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9991000294685364,"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":0.9991000294685364,"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/T14445","display_name":"Transportation Safety and Impact Analysis","score":0.9599999785423279,"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/T10370","display_name":"Traffic and Road Safety","score":0.9463000297546387,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.6913280487060547},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6836086511611938},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6359623670578003},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.46248799562454224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.385032057762146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.364315390586853},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32479673624038696},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1925371289253235}],"concepts":[{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.6913280487060547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6836086511611938},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6359623670578003},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.46248799562454224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.385032057762146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.364315390586853},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32479673624038696},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1925371289253235},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/jccee5.cpeng-5406","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-5406","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1544180249","https://openalex.org/W1991194841","https://openalex.org/W2104272210","https://openalex.org/W2108598243","https://openalex.org/W2796478249","https://openalex.org/W2797737639","https://openalex.org/W2894415171","https://openalex.org/W2945261601","https://openalex.org/W2995277480","https://openalex.org/W3007881165","https://openalex.org/W3081741002","https://openalex.org/W3089480158","https://openalex.org/W3124821295","https://openalex.org/W3128168207","https://openalex.org/W3157597258","https://openalex.org/W3176673965","https://openalex.org/W3185628576","https://openalex.org/W3206673580","https://openalex.org/W3214582035","https://openalex.org/W3214784879","https://openalex.org/W4200176170","https://openalex.org/W4205405287","https://openalex.org/W4205629990","https://openalex.org/W4220820466","https://openalex.org/W4229033574","https://openalex.org/W4283801981","https://openalex.org/W4287219576","https://openalex.org/W4293570628","https://openalex.org/W4313653990","https://openalex.org/W4316096469"],"related_works":["https://openalex.org/W2794103424","https://openalex.org/W4245435724","https://openalex.org/W1996530509","https://openalex.org/W3028317537","https://openalex.org/W2389515972","https://openalex.org/W2055301889","https://openalex.org/W1505959757","https://openalex.org/W2376554934","https://openalex.org/W2077790809","https://openalex.org/W2906246018"],"abstract_inverted_index":{"The":[0,43,65,98,119,180],"prevalence":[1],"of":[2,12,74,100,113,131,170,186],"run-off-road":[3],"crashes,":[4],"particularly":[5],"in":[6,15,129,138,142,147,153,189],"rural":[7],"areas,":[8],"underscores":[9],"the":[10,57,70,75,111,123,161,173],"significance":[11],"roadside":[13,26,47,155],"characteristics":[14],"safety":[16,27,197],"analysis.":[17],"This":[18],"paper":[19],"proposes":[20],"a":[21],"novel":[22],"approach":[23,125],"for":[24,40,85,116],"automated":[25],"assessment":[28],"using":[29,114],"deep":[30],"convolutional":[31],"neural":[32],"networks":[33],"(CNNs)":[34],"and":[35,80,95,151,172,195],"Generative":[36],"Adversarial":[37],"Networks":[38],"(GANs)":[39],"data":[41,58,117],"augmentation.":[42,118],"CNN":[44],"models":[45,84,108],"evaluate":[46],"features":[48],"through":[49],"two-dimensional":[50],"(2D)":[51],"image":[52],"analysis,":[53],"whereas":[54],"GANs":[55,115],"expand":[56],"set":[59],"by":[60],"generating":[61],"additional":[62],"diverse":[63],"samples.":[64],"proposed":[66,124,162],"framework":[67,182],"aligns":[68],"with":[69,136,158],"standard":[71,203],"rating":[72,204],"system":[73],"Federal":[76],"Highway":[77],"Administration":[78],"(FHWA)":[79],"encompasses":[81],"four":[82],"distinct":[83],"guardrail":[86],"detection,":[87,94],"clear":[88,144],"zone":[89],"width":[90],"assessment,":[91],"rigid":[92,149],"obstacle":[93],"sideslope":[96],"estimation.":[97],"performance":[99],"each":[101],"model":[102],"is":[103,134],"compared":[104],"against":[105],"non-GAN":[106],"augmented":[107],"to":[109,175],"assess":[110],"efficacy":[112],"results":[120],"show":[121],"that":[122],"outperforms":[126],"existing":[127],"methods":[128],"terms":[130],"accuracy,":[132],"which":[133],"measured":[135],"96%":[137],"detecting":[139,143,148,154],"guardrails,":[140],"88%":[141],"zones,":[145],"80%":[146],"obstacles,":[150],"84%":[152],"slopes.":[156],"Compared":[157],"manual":[159],"approaches,":[160],"method":[163],"offers":[164],"advantages":[165],"such":[166],"as":[167],"cost-effectiveness,":[168],"ease":[169],"implementation,":[171],"ability":[174],"rapidly":[176],"rank":[177],"state":[178],"roads.":[179],"developed":[181],"can":[183],"assist":[184],"departments":[185],"transportation":[187],"(DOTs)":[188],"efficiently":[190],"identifying":[191],"problematic":[192],"road":[193],"segments":[194],"prioritizing":[196],"improvement":[198],"projects":[199],"based":[200],"on":[201],"FHWA":[202],"system.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
