{"id":"https://openalex.org/W4391407113","doi":"https://doi.org/10.1109/tits.2024.3354506","title":"Rethinking the Evaluation of Driver Behavior Analysis Approaches","display_name":"Rethinking the Evaluation of Driver Behavior Analysis Approaches","publication_year":2024,"publication_date":"2024-01-31","ids":{"openalex":"https://openalex.org/W4391407113","doi":"https://doi.org/10.1109/tits.2024.3354506"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3354506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3354506","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5063748018","display_name":"Weiheng Chai","orcid":"https://orcid.org/0000-0002-1111-6397"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Weiheng Chai","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006977037","display_name":"Jiyang Wang","orcid":"https://orcid.org/0000-0002-6545-720X"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiyang Wang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030992210","display_name":"Jiajing Chen","orcid":"https://orcid.org/0000-0003-0523-4132"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiajing Chen","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004337702","display_name":"Senem Velipasalar","orcid":"https://orcid.org/0000-0002-1430-1555"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Senem Velipasalar","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018879445","display_name":"Anuj Sharma","orcid":"https://orcid.org/0000-0001-5929-5120"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anuj Sharma","raw_affiliation_strings":["Civil, Construction and Environmental Engineering, Iowa State University, Ames, IA, USA"],"affiliations":[{"raw_affiliation_string":"Civil, Construction and Environmental Engineering, Iowa State University, Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5063748018"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":1.7892,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83257809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"25","issue":"8","first_page":"9958","last_page":"9966"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9045000076293945,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9045000076293945,"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/computer-science","display_name":"Computer science","score":0.4408411383628845},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.32870280742645264}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4408411383628845},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.32870280742645264}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3354506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3354506","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3293862455","display_name":null,"funder_award_id":"693JJ31950022","funder_id":"https://openalex.org/F4320332393","funder_display_name":"Federal Highway Administration"}],"funders":[{"id":"https://openalex.org/F4320332393","display_name":"Federal Highway Administration","ror":"https://ror.org/0473rr271"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1526066774","https://openalex.org/W1613465282","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1927052826","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2291233770","https://openalex.org/W2510763477","https://openalex.org/W2600072806","https://openalex.org/W2607679123","https://openalex.org/W2618530766","https://openalex.org/W2740887493","https://openalex.org/W2783719297","https://openalex.org/W2785509179","https://openalex.org/W2890157139","https://openalex.org/W2903703049","https://openalex.org/W2920855763","https://openalex.org/W2938050534","https://openalex.org/W2962835718","https://openalex.org/W2963163009","https://openalex.org/W2963692464","https://openalex.org/W2965179392","https://openalex.org/W2970069713","https://openalex.org/W2992894396","https://openalex.org/W2998635901","https://openalex.org/W2999118766","https://openalex.org/W3010783597","https://openalex.org/W3015619088","https://openalex.org/W3015901168","https://openalex.org/W3094021148","https://openalex.org/W3094329691","https://openalex.org/W3097407879","https://openalex.org/W3107551614","https://openalex.org/W3108847140","https://openalex.org/W3214466607","https://openalex.org/W4292787098","https://openalex.org/W4292793908","https://openalex.org/W4292828486","https://openalex.org/W4292829068","https://openalex.org/W4297697565","https://openalex.org/W4310863182","https://openalex.org/W4312283584","https://openalex.org/W6637373629"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655","https://openalex.org/W2359140296"],"abstract_inverted_index":{"Crashes":[0],"caused":[1],"by":[2,79,161],"distracted":[3,32,172],"driving":[4,173],"result":[5],"in":[6,13,41,56,111,147,198],"more":[7],"than":[8],"3000":[9],"deaths":[10],"every":[11],"year":[12],"the":[14,45,50,57,80,102,126,170,180,186,207,213,217,229],"U.S.":[15],"Distracted":[16],"driver":[17,23,33],"behavior":[18,34],"detection":[19],"is":[20],"instrumental":[21],"for":[22,216],"assist":[24],"systems.":[25],"Researchers":[26],"have":[27],"focused":[28],"on":[29,169,228],"autonomously":[30],"detecting":[31],"so":[35],"that":[36],"drivers":[37],"can":[38],"be":[39,130],"alerted":[40],"time":[42],"to":[43,64,133],"reduce":[44],"risk":[46],"of":[47,53,71,76,137,157,188,209,221],"crashes.":[48],"Despite":[49],"large":[51],"number":[52],"approaches":[54,78,85],"presented":[55],"literature,":[58],"there":[59],"are":[60],"still":[61],"issues":[62],"related":[63],"proper":[65],"performance":[66,127,167,214],"evaluation,":[67],"reproducibility":[68],"and":[69,91,143,166,174,212,219,224],"lack":[70],"or":[72,94,98],"very":[73],"slow":[74],"adoption":[75],"these":[77,116,193],"transportation":[81],"industry.":[82],"Most":[83],"existing":[84],"either":[86],"do":[87,99],"not":[88,100,122],"provide":[89],"documented":[90],"usable":[92],"codes":[93],"use":[95],"private":[96],"datasets,":[97],"present":[101],"experiment":[103],"details,":[104],"such":[105],"as":[106],"data":[107,164,181,210],"split,":[108],"sometimes":[109],"resulting":[110],"inflated":[112],"accuracy":[113],"numbers.":[114],"Moreover,":[115],"factors":[117],"also":[118],"make":[119],"many":[120],"results":[121,205],"reproducible.":[123],"In":[124,149],"addition,":[125],"metrics":[128,168],"should":[129,195],"chosen":[131],"carefully":[132],"measure":[134],"various":[135],"aspects":[136],"different":[138,158,163,222],"methods,":[139,223],"including":[140],"their":[141,225],"generalizability,":[142],"action":[144],"localization":[145],"ability":[146],"time.":[148],"this":[150],"work,":[151],"we":[152,184],"perform":[153,196],"a":[154],"commensurate":[155],"comparison":[156,218],"state-of-the-art":[159],"methods":[160],"using":[162],"splits":[165],"StateFarm":[171],"AI":[175],"CITY":[176],"Challenge":[177],"datasets.":[178],"With":[179],"split":[182],"experiments,":[183],"highlight":[185],"importance":[187,208],"leave-N-driver-out":[189],"cross":[190],"validation,":[191],"since":[192],"models":[194],"well":[197],"real-world":[199],"testing":[200],"with":[201],"never-before-seen":[202],"drivers.":[203],"The":[204],"show":[206],"splitting":[211],"metric":[215],"evaluation":[220],"significant":[226],"effects":[227],"results.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}