{"id":"https://openalex.org/W4408696347","doi":"https://doi.org/10.1109/itsc58415.2024.10919901","title":"Enhancing Traffic Incident Detection Through ADASYN-Attention Fusion: A Comparative Study with RITIS Data","display_name":"Enhancing Traffic Incident Detection Through ADASYN-Attention Fusion: A Comparative Study with RITIS Data","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408696347","doi":"https://doi.org/10.1109/itsc58415.2024.10919901"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10919901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th 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/A5085067660","display_name":"R H Liu","orcid":"https://orcid.org/0009-0001-8977-9078"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruifeng Liu","raw_affiliation_strings":["University of Massachusetts Lowell,Department of Computer Science,Lowell,MA,USA,01854"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Lowell,Department of Computer Science,Lowell,MA,USA,01854","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016666279","display_name":"Yuanchang Xie","orcid":"https://orcid.org/0000-0002-0139-9362"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanchang Xie","raw_affiliation_strings":["University of Massachusetts Lowell,Department of Civil and Environmental Engineering,Lowell,MA,USA,01854"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Lowell,Department of Civil and Environmental Engineering,Lowell,MA,USA,01854","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048374360","display_name":"Polichronis Stamatiadis","orcid":null},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Polichronis Stamatiadis","raw_affiliation_strings":["University of Massachusetts Lowell,Department of Civil and Environmental Engineering,Lowell,MA,USA,01854"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Lowell,Department of Civil and Environmental Engineering,Lowell,MA,USA,01854","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080468221","display_name":"Nathan H. Gartner","orcid":"https://orcid.org/0000-0002-7625-2998"},"institutions":[{"id":"https://openalex.org/I52170813","display_name":"Ariel University","ror":"https://ror.org/03nz8qe97","country_code":"IL","type":"education","lineage":["https://openalex.org/I52170813"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Nathan Gartner","raw_affiliation_strings":["Ariel University,Department of Civil Engineering,Israel"],"affiliations":[{"raw_affiliation_string":"Ariel University,Department of Civil Engineering,Israel","institution_ids":["https://openalex.org/I52170813"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048219544","display_name":"Tingjian Ge","orcid":"https://orcid.org/0000-0003-2225-8291"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tingjian Ge","raw_affiliation_strings":["University of Massachusetts Lowell,Department of Computer Science,Lowell,MA,USA,01854"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Lowell,Department of Computer Science,Lowell,MA,USA,01854","institution_ids":["https://openalex.org/I133738476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5085067660"],"corresponding_institution_ids":["https://openalex.org/I133738476"],"apc_list":null,"apc_paid":null,"fwci":0.3376,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70595604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1488","last_page":"1493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9912999868392944,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9912999868392944,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9843000173568726,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9290000200271606,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.5631013512611389},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.45975184440612793},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42046529054641724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24077078700065613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5631013512611389},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.45975184440612793},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42046529054641724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24077078700065613},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/itsc58415.2024.10919901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2104933073","https://openalex.org/W2158581396","https://openalex.org/W2909431601","https://openalex.org/W2948212284","https://openalex.org/W2949356321","https://openalex.org/W2964896391","https://openalex.org/W3036417315","https://openalex.org/W3080758937","https://openalex.org/W3089893234","https://openalex.org/W3092196264","https://openalex.org/W3146366485","https://openalex.org/W6631190155","https://openalex.org/W6751283209","https://openalex.org/W6797674293"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Traffic":[0,54],"incidents":[1,88],"are":[2,29],"a":[3,50,68,99],"leading":[4],"contributor":[5],"to":[6,34,40,87,93,113],"non-recurring":[7],"congestion":[8,14],"and":[9,15,37,45,74,77,108],"secondary":[10],"crashes.":[11],"Each":[12],"year":[13],"crashes":[16],"together":[17],"cost":[18],"the":[19,105],"United":[20],"States":[21],"over":[22],"1":[23],"trillion":[24],"dollars.":[25],"Once":[26],"traffic":[27,39,63,95],"queues":[28],"formed,":[30],"it":[31],"is":[32],"difficult":[33],"dissipate":[35],"them":[36],"return":[38],"normal":[41,94],"operations.":[42],"Therefore,":[43],"real-time":[44],"accurate":[46],"incident":[47,64,120],"detection":[48],"plays":[49],"critical":[51],"role":[52],"in":[53,117],"Incident":[55],"Management":[56],"(TIM).":[57],"This":[58],"research":[59],"focuses":[60],"on":[61],"highway":[62,69],"detection.":[65,121],"It":[66],"divides":[67],"network":[70],"into":[71],"short":[72],"segments":[73,82],"correlates":[75],"temporal":[76],"spatial":[78],"data":[79],"from":[80],"adjacent":[81],"for":[83],"detecting":[84],"incidents.":[85],"Due":[86],"being":[89],"relatively":[90],"rare":[91],"compared":[92],"patterns,":[96],"we":[97],"propose":[98],"method":[100],"that":[101],"combines":[102],"oversampling":[103],"with":[104],"attention":[106],"mechanism":[107],"use":[109],"an":[110],"ablation":[111],"study":[112],"prove":[114],"its":[115],"effectiveness":[116],"improving":[118],"supervised":[119]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}