{"id":"https://openalex.org/W4405305944","doi":"https://doi.org/10.1109/indin58382.2024.10774527","title":"AI-Driven Assessment of Safety Risk at Road Intersections Using Drone Videos","display_name":"AI-Driven Assessment of Safety Risk at Road Intersections Using Drone Videos","publication_year":2024,"publication_date":"2024-08-18","ids":{"openalex":"https://openalex.org/W4405305944","doi":"https://doi.org/10.1109/indin58382.2024.10774527"},"language":"en","primary_location":{"id":"doi:10.1109/indin58382.2024.10774527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin58382.2024.10774527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5053628330","display_name":"Shile Zhang","orcid":"https://orcid.org/0000-0002-8310-1661"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shile Zhang","raw_affiliation_strings":["The Hong Kong Polytechnic University,Department of Civil and Environmental Engineering,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Department of Civil and Environmental Engineering,Hong Kong,China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115601765","display_name":"Yan Wang","orcid":"https://orcid.org/0009-0005-2485-0899"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["The Hong Kong Polytechnic University,Department of Civil and Environmental Engineering,Hong Kong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University,Department of Civil and Environmental Engineering,Hong Kong,China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102746803","display_name":"Yongjun Yan","orcid":"https://orcid.org/0000-0001-9961-7235"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Yan","raw_affiliation_strings":["School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China University","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9764000177383423,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9764000177383423,"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/T10809","display_name":"Occupational Health and Safety Research","score":0.9588000178337097,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9545000195503235,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.8416692614555359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6550585031509399},{"id":"https://openalex.org/keywords/risk-assessment","display_name":"Risk assessment","score":0.41842538118362427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3995606303215027},{"id":"https://openalex.org/keywords/aeronautics","display_name":"Aeronautics","score":0.39183494448661804},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.36277011036872864},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3108134865760803},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23677846789360046}],"concepts":[{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.8416692614555359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6550585031509399},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.41842538118362427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3995606303215027},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.39183494448661804},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.36277011036872864},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3108134865760803},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23677846789360046},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin58382.2024.10774527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin58382.2024.10774527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 22nd International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8749581375","display_name":null,"funder_award_id":"202205","funder_id":"https://openalex.org/F4320327794","funder_display_name":"Qinglan Project of Jiangsu Province of China"}],"funders":[{"id":"https://openalex.org/F4320327794","display_name":"Qinglan Project of Jiangsu Province of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1987271888","https://openalex.org/W2047991958","https://openalex.org/W2081643473","https://openalex.org/W2565963553","https://openalex.org/W2788178650","https://openalex.org/W2790402446","https://openalex.org/W2790985840","https://openalex.org/W2803820870","https://openalex.org/W2856345746","https://openalex.org/W2963019173","https://openalex.org/W3159019800","https://openalex.org/W3210415687","https://openalex.org/W4214610038","https://openalex.org/W4221087572","https://openalex.org/W4226385737","https://openalex.org/W4285384743","https://openalex.org/W4288032595","https://openalex.org/W4293216957","https://openalex.org/W4308080616"],"related_works":["https://openalex.org/W4229448053","https://openalex.org/W4247925126","https://openalex.org/W4327774218","https://openalex.org/W2059768187","https://openalex.org/W4312858960","https://openalex.org/W4386036939","https://openalex.org/W4379143281","https://openalex.org/W2605096541","https://openalex.org/W3200286695","https://openalex.org/W4212885606"],"abstract_inverted_index":{"Urban":[0],"intersections":[1],"pose":[2],"significant":[3],"safety":[4,58,157],"challenges":[5],"due":[6],"to":[7,164],"the":[8,28,75,102,125,145,160],"convergence":[9],"of":[10,23,30,78,115,128,147,155,162],"diverse":[11],"traffic":[12,149],"flows":[13],"from":[14,46,140],"various":[15],"directions,":[16],"resulting":[17],"in":[18],"a":[19,56,97,110],"disturbingly":[20],"high":[21],"rate":[22,134],"annual":[24],"road":[25],"fatalities.":[26],"Specifically,":[27],"presence":[29],"permissive":[31],"left-turn":[32],"signals":[33],"introduces":[34,55],"potential":[35,166],"conflicts":[36,76],"between":[37],"vehicles":[38],"making":[39],"left":[40],"turns":[41],"and":[42,80,135,159],"those":[43],"proceeding":[44],"straight":[45],"opposite":[47],"directions.":[48],"To":[49],"address":[50],"this":[51,53,141],"issue,":[52],"article":[54],"dynamic":[57],"assessment":[59,154],"model":[60,105],"tailored":[61],"for":[62],"urban":[63],"intersections.":[64],"Leveraging":[65],"drone":[66],"videos,":[67],"high-resolution":[68],"vehicle":[69,132],"trajectory":[70],"data":[71],"is":[72,94],"extracted,":[73],"enabling":[74],"identification":[77],"rear-end":[79],"angular.":[81],"Through":[82],"an":[83],"ensemble":[84],"learning":[85],"approach":[86],"utilizing":[87],"artificial":[88],"intelligence":[89],"(AI)":[90],"techniques,":[91],"conflict":[92],"frequency":[93],"estimated":[95],"at":[96],"granular":[98],"five-minute":[99],"interval.":[100],"Notably,":[101],"Random":[103],"Forest":[104],"exhibits":[106],"superior":[107],"performance,":[108],"yielding":[109],"mean":[111],"squared":[112],"error":[113],"(MSE)":[114],"5.35.":[116],"Further":[117],"analysis":[118],"employing":[119],"SHAP":[120],"(SHapley":[121],"Additive":[122],"exPlanations)":[123],"highlights":[124],"critical":[126],"role":[127],"variables":[129],"such":[130],"as":[131],"deceleration":[133],"speed.":[136],"The":[137],"insights":[138],"garnered":[139],"study":[142],"can":[143],"inform":[144],"development":[146],"proactive":[148],"management":[150],"systems,":[151],"facilitating":[152],"real-time":[153],"intersection":[156],"conditions":[158],"implementation":[161],"measures":[163],"mitigate":[165],"risks.":[167]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
