{"id":"https://openalex.org/W4308068844","doi":"https://doi.org/10.1109/itsc55140.2022.9921978","title":"Traffic Accident Risk Forecasting using Contextual Vision Transformers","display_name":"Traffic Accident Risk Forecasting using Contextual Vision Transformers","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4308068844","doi":"https://doi.org/10.1109/itsc55140.2022.9921978"},"language":"en","primary_location":{"id":"doi:10.1109/itsc55140.2022.9921978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9921978","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th 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/A5102016555","display_name":"Khaled Saleh","orcid":"https://orcid.org/0000-0002-2589-179X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Khaled Saleh","raw_affiliation_strings":["University of Technology,Faculty of Engineering and IT,Sydney,Australia","Faculty of Engineering and IT, University of Technology, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology,Faculty of Engineering and IT,Sydney,Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Faculty of Engineering and IT, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079678119","display_name":"Artur Grigorev","orcid":"https://orcid.org/0000-0001-6875-3568"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Artur Grigorev","raw_affiliation_strings":["University of Technology,Faculty of Engineering and IT,Sydney,Australia","Faculty of Engineering and IT, University of Technology, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology,Faculty of Engineering and IT,Sydney,Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Faculty of Engineering and IT, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087297482","display_name":"Adriana\u2010Simona Mih\u0103i\u0163\u0103","orcid":"https://orcid.org/0000-0001-7670-5777"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Adriana-Simona Mihaita","raw_affiliation_strings":["University of Technology,Faculty of Engineering and IT,Sydney,Australia","Faculty of Engineering and IT, University of Technology, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology,Faculty of Engineering and IT,Sydney,Australia","institution_ids":["https://openalex.org/I114017466"]},{"raw_affiliation_string":"Faculty of Engineering and IT, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102016555"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":5.7319,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.97723577,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2086","last_page":"2092"},"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":0.9944999814033508,"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9541000127792358,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7791474461555481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4413275718688965},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42427176237106323},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41633448004722595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7791474461555481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4413275718688965},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42427176237106323},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41633448004722595}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc55140.2022.9921978","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9921978","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Recently,":[0],"the":[1,11,14,33,41,55,71,112,118,131,141,175,183,187],"problem":[2,28,119],"of":[3,13,117,133],"traffic":[4,25,56,80,123,146],"accident":[5,57,81,124,147],"risk":[6,58,125],"forecasting":[7,59],"has":[8,181],"been":[9],"getting":[10],"attention":[12],"intelligent":[15],"transportation":[16],"systems":[17],"community":[18],"due":[19],"to":[20,51,69,169],"its":[21],"significant":[22,159],"impact":[23],"on":[24],"clearance.":[26],"This":[27],"is":[29],"commonly":[30],"tackled":[31],"in":[32,84,103,164,167,174],"literature":[34,142],"by":[35],"using":[36],"data-driven":[37],"approaches":[38,65,139],"that":[39,99],"model":[40],"spatial":[42,113],"and":[43,114,129],"temporal":[44,115],"incident":[45],"impact,":[46],"since":[47],"they":[48],"were":[49],"shown":[50,157],"be":[52,101],"crucial":[53],"for":[54,78],"problem.":[60],"To":[61],"achieve":[62],"this,":[63],"most":[64],"build":[66],"different":[67,151],"architectures":[68],"capture":[70],"spatio-temporal":[72],"correlations":[73],"features,":[74],"making":[75],"them":[76],"inefficient":[77],"large":[79],"datasets.":[82],"Thus,":[83],"this":[85],"work,":[86],"we":[87],"are":[88],"proposing":[89],"a":[90,95,158],"novel":[91],"unified":[92],"framework,":[93],"namely":[94],"contextual":[96],"vision":[97],"transformer,":[98],"can":[100,108],"trained":[102],"an":[104],"end-to-end":[105],"approach":[106,180],"which":[107],"effectively":[109],"reason":[110],"about":[111],"aspects":[116],"while":[120,190],"providing":[121],"accurate":[122],"predictions.":[126],"We":[127],"evaluate":[128],"compare":[130],"performance":[132],"our":[134,178],"proposed":[135,179],"methodology":[136],"against":[137],"baseline":[138],"from":[140,149],"across":[143],"two":[144,150,188],"large-scale":[145],"datasets":[148,189],"geographical":[152],"locations.":[153],"The":[154],"results":[155],"have":[156],"improvement":[160],"with":[161],"roughly":[162],"2%":[163],"RMSE":[165],"score":[166],"comparison":[168],"previous":[170],"state-of-art":[171],"works":[172],"(SoTA)":[173],"literature.":[176],"Moreover,":[177],"outperformed":[182],"SoTA":[184],"technique":[185],"over":[186],"only":[191],"requiring":[192],"23x":[193],"fewer":[194],"computational":[195],"requirements.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}