{"id":"https://openalex.org/W4388979019","doi":"https://doi.org/10.37905/jji.v5i2.22037","title":"Artificial Intelligence in Road Traffic Accident Prediction","display_name":"Artificial Intelligence in Road Traffic Accident Prediction","publication_year":2023,"publication_date":"2023-11-01","ids":{"openalex":"https://openalex.org/W4388979019","doi":"https://doi.org/10.37905/jji.v5i2.22037"},"language":"en","primary_location":{"id":"doi:10.37905/jji.v5i2.22037","doi":"https://doi.org/10.37905/jji.v5i2.22037","is_oa":true,"landing_page_url":"https://doi.org/10.37905/jji.v5i2.22037","pdf_url":"https://ejurnal.ung.ac.id/index.php/jji/article/download/22037/7624","source":{"id":"https://openalex.org/S4210201022","display_name":"Jambura Journal of Informatics","issn_l":"2656-467X","issn":["2656-467X","2685-4244"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4404664026","host_organization_name":"State University of Gorontalo","host_organization_lineage":["https://openalex.org/P4404664026"],"host_organization_lineage_names":["State University of Gorontalo"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jambura Journal of Informatics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ejurnal.ung.ac.id/index.php/jji/article/download/22037/7624","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102810184","display_name":"Joko Siswanto","orcid":"https://orcid.org/0000-0003-3795-2155","observed_orcids":["https://orcid.org/0000-0003-3795-2155"]},"institutions":[{"id":"https://openalex.org/I4405276294","display_name":"Politeknik Keselamatan Transportasi Jalan","ror":"https://ror.org/055am9k06","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405276294"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Joko Siswanto","raw_affiliation_strings":["Politeknik Keselamatan Transportasi Jalan"],"raw_orcid":"https://orcid.org/0000-0003-3795-2155","affiliations":[{"raw_affiliation_string":"Politeknik Keselamatan Transportasi Jalan","institution_ids":["https://openalex.org/I4405276294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074069877","display_name":"Alfath Satria Negara Syaban","orcid":"https://orcid.org/0000-0001-9814-7841","observed_orcids":["https://orcid.org/0000-0001-9814-7841"]},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alfath Satria Negara Syaban","raw_affiliation_strings":["The University of Alabama"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Alabama","institution_ids":["https://openalex.org/I17301866"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hariani Hariani","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405255305","display_name":"Universitas Islam Negeri Alauddin Makassar","ror":"https://ror.org/02vhd9c58","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405255305"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Hariani Hariani","raw_affiliation_strings":["UIN Alauddin Makassar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UIN Alauddin Makassar","institution_ids":["https://openalex.org/I4405255305"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5444,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80204242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"5","issue":"2","first_page":"77","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9833999872207642,"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":0.9833999872207642,"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/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.00860000029206276,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.0027000000700354576,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"artificial intelligence","score":0.8960000276565552},{"id":"https://openalex.org/keywords/road-safety","display_name":"road safety","score":0.8169999718666077},{"id":"https://openalex.org/keywords/crash-severity-prediction","display_name":"accident severity prediction","score":0.9010000228881836},{"id":"https://openalex.org/keywords/risk-factors","display_name":"risk factors","score":0.7020000219345093},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.6159999966621399},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9909999966621399},{"id":"https://openalex.org/keywords/accident-prevention","display_name":"accident prevention","score":0.7919999957084656}],"concepts":[{"id":"https://openalex.org/C2780289543","wikidata":"https://www.wikidata.org/wiki/Q424630","display_name":"Accident (philosophy)","level":2,"score":0.6165550947189331},{"id":"https://openalex.org/C176777502","wikidata":"https://www.wikidata.org/wiki/Q4774623","display_name":"Anticipation (artificial intelligence)","level":2,"score":0.6010178327560425},{"id":"https://openalex.org/C3018122277","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Road accident","level":2,"score":0.5869929790496826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5827735066413879},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.559779167175293},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.49020105600357056},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4417407512664795},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.41196054220199585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3671368956565857},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3097854256629944},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2245602309703827},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.37905/jji.v5i2.22037","doi":"https://doi.org/10.37905/jji.v5i2.22037","is_oa":true,"landing_page_url":"https://doi.org/10.37905/jji.v5i2.22037","pdf_url":"https://ejurnal.ung.ac.id/index.php/jji/article/download/22037/7624","source":{"id":"https://openalex.org/S4210201022","display_name":"Jambura Journal of Informatics","issn_l":"2656-467X","issn":["2656-467X","2685-4244"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4404664026","host_organization_name":"State University of Gorontalo","host_organization_lineage":["https://openalex.org/P4404664026"],"host_organization_lineage_names":["State University of Gorontalo"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jambura Journal of Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.37905/jji.v5i2.22037","doi":"https://doi.org/10.37905/jji.v5i2.22037","is_oa":true,"landing_page_url":"https://doi.org/10.37905/jji.v5i2.22037","pdf_url":"https://ejurnal.ung.ac.id/index.php/jji/article/download/22037/7624","source":{"id":"https://openalex.org/S4210201022","display_name":"Jambura Journal of Informatics","issn_l":"2656-467X","issn":["2656-467X","2685-4244"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4404664026","host_organization_name":"State University of Gorontalo","host_organization_lineage":["https://openalex.org/P4404664026"],"host_organization_lineage_names":["State University of Gorontalo"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jambura Journal of Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"},{"score":0.5142999887466431,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"},{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388979019.pdf","grobid_xml":"https://content.openalex.org/works/W4388979019.grobid-xml"},"referenced_works_count":95,"referenced_works":["https://openalex.org/W1506985376","https://openalex.org/W2478404637","https://openalex.org/W2810433267","https://openalex.org/W2920619141","https://openalex.org/W2953957098","https://openalex.org/W2983611855","https://openalex.org/W2989078045","https://openalex.org/W2993475292","https://openalex.org/W2999212158","https://openalex.org/W2999349943","https://openalex.org/W3013052908","https://openalex.org/W3017148159","https://openalex.org/W3020561110","https://openalex.org/W3041192002","https://openalex.org/W3041381162","https://openalex.org/W3042932150","https://openalex.org/W3048782440","https://openalex.org/W3064888342","https://openalex.org/W3081626762","https://openalex.org/W3094521210","https://openalex.org/W3094791218","https://openalex.org/W3107007863","https://openalex.org/W3112133142","https://openalex.org/W3112939612","https://openalex.org/W3120374086","https://openalex.org/W3124844815","https://openalex.org/W3126420400","https://openalex.org/W3129033730","https://openalex.org/W3129598657","https://openalex.org/W3158848426","https://openalex.org/W3158991200","https://openalex.org/W3165768443","https://openalex.org/W3170873701","https://openalex.org/W3171979212","https://openalex.org/W3183926781","https://openalex.org/W3186620811","https://openalex.org/W3188043745","https://openalex.org/W3188606279","https://openalex.org/W3190998460","https://openalex.org/W3196022191","https://openalex.org/W3201333476","https://openalex.org/W3206649391","https://openalex.org/W3212031580","https://openalex.org/W3213551175","https://openalex.org/W3216260727","https://openalex.org/W3217328598","https://openalex.org/W4205485659","https://openalex.org/W4205520906","https://openalex.org/W4205980381","https://openalex.org/W4206490972","https://openalex.org/W4210987106","https://openalex.org/W4213139996","https://openalex.org/W4220713468","https://openalex.org/W4220832294","https://openalex.org/W4224137315","https://openalex.org/W4226314437","https://openalex.org/W4252399870","https://openalex.org/W4280620422","https://openalex.org/W4283397244","https://openalex.org/W4283787530","https://openalex.org/W4285138073","https://openalex.org/W4285218625","https://openalex.org/W4285815346","https://openalex.org/W4285815853","https://openalex.org/W4286520466","https://openalex.org/W4288095917","https://openalex.org/W4289518830","https://openalex.org/W4292824756","https://openalex.org/W4295036615","https://openalex.org/W4295928018","https://openalex.org/W4296004444","https://openalex.org/W4297907146","https://openalex.org/W4308654590","https://openalex.org/W4308654624","https://openalex.org/W4311525011","https://openalex.org/W4312351427","https://openalex.org/W4312452132","https://openalex.org/W4312591203","https://openalex.org/W4317649593","https://openalex.org/W4318477916","https://openalex.org/W4320002601","https://openalex.org/W4320801603","https://openalex.org/W4322731448","https://openalex.org/W4323316593","https://openalex.org/W4328024712","https://openalex.org/W4365447864","https://openalex.org/W4381304672","https://openalex.org/W4387633181","https://openalex.org/W6600062588","https://openalex.org/W6600481524","https://openalex.org/W6755811877","https://openalex.org/W6791858558","https://openalex.org/W6863994431","https://openalex.org/W6864487941","https://openalex.org/W6864682462"],"related_works":["https://openalex.org/W7167727024","https://openalex.org/W7162866130","https://openalex.org/W4404962034","https://openalex.org/W7167699957","https://openalex.org/W2336384609","https://openalex.org/W4285815346","https://openalex.org/W4250865896","https://openalex.org/W4220746908","https://openalex.org/W7206179801","https://openalex.org/W4411714646"],"abstract_inverted_index":{"The":[0,34,52,62,97],"rapid":[1],"development":[2,10],"of":[3,28,37,79,91],"AI":[4,29,38,158],"shows":[5],"its":[6],"power":[7],"and":[8,18,26,46,60,71,95,120,132,146,186],"great":[9],"potential":[11,19],"in":[12,30,74,137,159,167],"practical":[13],"engineering":[14],"applications.":[15],"Critical":[16],"issues":[17],"solutions":[20],"can":[21,82,148,177,183,190],"reduce":[22],"road":[23,31,40,130,138,156,160,175,195],"traffic":[24],"accidents":[25,131,176],"application":[27],"accident":[32,41,139,161],"prediction.":[33],"published":[35],"use":[36],"for":[39],"prediction":[42,115,162],"is":[43,85],"reviewed,":[44],"presented,":[45],"represented":[47],"as":[48],"the":[49,77,107,114,121,172],"main":[50],"objective.":[51],"methods":[53],"are":[54],"collecting":[55],"article":[56,63],"data,":[57],"quotations,":[58],"presentation,":[59],"representation.":[61],"data":[64],"collection":[65],"was":[66,111,116,124],"obtained":[67],"from":[68],"671":[69],"conference":[70],"journal":[72],"articles":[73,80],"2019-2023,":[75],"but":[76],"suitability":[78],"that":[81,100,174],"be":[83,149,178,184,191],"used":[84,103,109],"69.":[86],"Quotation":[87],"produces":[88,129],"a":[89],"grouping":[90],"approaches,":[92],"models,":[93],"predictions,":[94],"benefits.":[96],"presentation":[98],"showed":[99],"most":[101,108,122],"approaches":[102],"were":[104],"machine":[105],"learning,":[106],"model":[110],"random":[112],"forest,":[113],"mostly":[117],"about":[118,125],"severity,":[119],"benefit":[123],"number":[126],"reduction.":[127],"Representation":[128],"related":[133],"factors":[134,136,182],"into":[135],"predictions":[140],"using":[141],"artificial":[142],"intelligence,":[143],"so":[144],"strategies":[145],"anticipation":[147],"made":[150],"to":[151,154,193],"overcome":[152],"them":[153],"improve":[155,194],"safety.":[157,196],"plays":[163],"an":[164],"important":[165],"role":[166],"building":[168],"predictive":[169],"models":[170],"with":[171],"hope":[173],"identified":[179],"early,":[180],"risk":[181],"reduced,":[185],"effective":[187],"preventive":[188],"measures":[189],"taken":[192]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2023-11-25T00:00:00"}
