{"id":"https://openalex.org/W4391793317","doi":"https://doi.org/10.1109/itsc57777.2023.10422052","title":"Towards Accurate Traffic Accident Detection: Developing Deep Learning Strategies with Distant Past, Recent Past, and Adjacency Features","display_name":"Towards Accurate Traffic Accident Detection: Developing Deep Learning Strategies with Distant Past, Recent Past, and Adjacency Features","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391793317","doi":"https://doi.org/10.1109/itsc57777.2023.10422052"},"language":"en","primary_location":{"id":"doi:10.1109/itsc57777.2023.10422052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-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/A5092842675","display_name":"Irem Atilgan","orcid":"https://orcid.org/0009-0000-1977-2041"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Irem Atilgan","raw_affiliation_strings":["Yildiz Technical University,Computer Engineering Department,Istanbul,Turkey","Computer Engineering Department, Yildiz Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Yildiz Technical University,Computer Engineering Department,Istanbul,Turkey","institution_ids":["https://openalex.org/I4101805"]},{"raw_affiliation_string":"Computer Engineering Department, Yildiz Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067831498","display_name":"H. \u0130rem T\u00fcrkmen","orcid":"https://orcid.org/0000-0002-8690-0725"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"H. Irem Turkmen","raw_affiliation_strings":["Yildiz Technical University,Computer Engineering Department,Istanbul,Turkey","Computer Engineering Department, Yildiz Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Yildiz Technical University,Computer Engineering Department,Istanbul,Turkey","institution_ids":["https://openalex.org/I4101805"]},{"raw_affiliation_string":"Computer Engineering Department, Yildiz Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058725543","display_name":"M. Ama\u00e7 G\u00fcvensan","orcid":"https://orcid.org/0000-0002-2728-8900"},"institutions":[{"id":"https://openalex.org/I4101805","display_name":"Y\u0131ld\u0131z Technical University","ror":"https://ror.org/0547yzj13","country_code":"TR","type":"education","lineage":["https://openalex.org/I4101805"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"M. Amac Guvensan","raw_affiliation_strings":["Yildiz Technical University,Computer Engineering Department,Istanbul,Turkey","Computer Engineering Department, Yildiz Technical University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Yildiz Technical University,Computer Engineering Department,Istanbul,Turkey","institution_ids":["https://openalex.org/I4101805"]},{"raw_affiliation_string":"Computer Engineering Department, Yildiz Technical University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4101805"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092842675"],"corresponding_institution_ids":["https://openalex.org/I4101805"],"apc_list":null,"apc_paid":null,"fwci":0.1574,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51262122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"6120","last_page":"6125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9962000250816345,"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":0.9962000250816345,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9212999939918518,"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/adjacency-list","display_name":"Adjacency list","score":0.744929313659668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6959738731384277},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45066890120506287},{"id":"https://openalex.org/keywords/accident","display_name":"Accident (philosophy)","score":0.43741345405578613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4341801404953003},{"id":"https://openalex.org/keywords/traffic-accident","display_name":"Traffic accident","score":0.4222133457660675},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16049587726593018},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1260509490966797},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0720280110836029}],"concepts":[{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.744929313659668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6959738731384277},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45066890120506287},{"id":"https://openalex.org/C2780289543","wikidata":"https://www.wikidata.org/wiki/Q424630","display_name":"Accident (philosophy)","level":2,"score":0.43741345405578613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4341801404953003},{"id":"https://openalex.org/C2989506057","wikidata":"https://www.wikidata.org/wiki/Q9687","display_name":"Traffic accident","level":2,"score":0.4222133457660675},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16049587726593018},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1260509490966797},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0720280110836029},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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:10.1109/itsc57777.2023.10422052","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc57777.2023.10422052","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W617548550","https://openalex.org/W1507697757","https://openalex.org/W1983497530","https://openalex.org/W2082945312","https://openalex.org/W2086399849","https://openalex.org/W2135453947","https://openalex.org/W2246472911","https://openalex.org/W2249423915","https://openalex.org/W2249460372","https://openalex.org/W2327755570","https://openalex.org/W2583901265","https://openalex.org/W2593875029","https://openalex.org/W2609891578","https://openalex.org/W2626590196","https://openalex.org/W2948212284","https://openalex.org/W2951569056","https://openalex.org/W2996705655","https://openalex.org/W3092339997","https://openalex.org/W3122396520","https://openalex.org/W3178790715","https://openalex.org/W6630452646","https://openalex.org/W6691042019","https://openalex.org/W6691089252","https://openalex.org/W6691253256"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756"],"abstract_inverted_index":{"Traffic":[0],"accidents":[1,22,54,82,145],"across":[2],"the":[3,32,49,63,95,107,119,159,165],"world":[4],"can":[5,29],"cause":[6],"great":[7],"loss":[8],"of":[9,21,26,36,43,52,86,192,197],"human":[10,56],"life":[11],"and":[12,23,34,60,76,92,100,105,138,194],"create":[13],"financial":[14],"burden":[15],"on":[16,55,62,158],"institutions.":[17],"However,":[18],"early":[19],"detection":[20,177,181],"timely":[24],"delivery":[25],"necessary":[27],"assistance":[28],"greatly":[30],"reduce":[31],"likelihood":[33],"period":[35],"these":[37],"negative":[38,50],"effects":[39,51],"occurring.":[40],"The":[41,66,199],"aim":[42],"this":[44],"study":[45,96],"is":[46,205],"to":[47,79,103,143,150],"minimize":[48],"traffic":[53,81,108,160,222,226],"life,":[57],"environmental":[58],"health":[59],"macroeconomics":[61],"long":[64],"run.":[65],"paper":[67],"introduces":[68],"a":[69,84,175,207],"novel":[70],"input":[71],"set":[72],"derived":[73],"from":[74,164],"distant":[75],"near":[77],"past":[78],"detect":[80,144],"with":[83],"delay":[85],"5\u201330":[87],"minutes":[88],"while":[89,188],"informing":[90],"authorities":[91],"citizens.":[93],"Further-more,":[94],"presents":[97],"statistical":[98],"methods":[99],"windowing":[101],"techniques":[102],"pre-process":[104],"transform":[106],"speed":[109,227],"data":[110,128],"into":[111,118],"various":[112],"features,":[113],"which":[114],"are":[115,214],"then":[116],"fed":[117],"most":[120],"preferred":[121],"deep":[122],"learning":[123],"architectures":[124],"for":[125,209,216],"multivariate":[126],"time-series":[127],"such":[129],"as":[130],"Multi-Layer":[131],"Perceptron":[132],"(MLP),":[133],"Convolutional":[134],"Neural":[135],"Networks":[136],"(CNN),":[137],"Long":[139],"Short-Term":[140],"Memory":[141],"(LSTM)":[142],"in":[146,170,219],"traffic.":[147],"In":[148],"order":[149],"verify":[151],"our":[152,156],"strategy,":[153],"we":[154],"ran":[155],"tests":[157],"accident":[161,180],"dataset":[162],"obtained":[163],"100":[166],"main":[167],"road":[168],"segments":[169],"Istanbul":[171],"during":[172],"2018.":[173],"With":[174],"15-minute":[176],"delay,":[178],"CNN-based":[179],"model":[182],"outperformed":[183],"all":[184],"other":[185],"candidate":[186],"models,":[187],"generating":[189],"an":[190,195,210],"F-Score":[191],"0.75":[193],"AUC":[196],"0.87.":[198],"results":[200,213],"indicates":[201],"that,":[202],"although":[203],"there":[204],"still":[206],"gap":[208],"improvement,":[211],"pre-eliminary":[212],"promising":[215],"determining":[217],"anomaly":[218],"traffic,":[220],"i.e":[221],"accidents,":[223],"exploiting":[224],"only":[225],"info.":[228]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}