{"id":"https://openalex.org/W4226357034","doi":"https://doi.org/10.1109/access.2022.3165570","title":"An Expressway Driving Stress Prediction Model Based on Vehicle, Road and Environment Features","display_name":"An Expressway Driving Stress Prediction Model Based on Vehicle, Road and Environment Features","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226357034","doi":"https://doi.org/10.1109/access.2022.3165570"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3165570","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3165570","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09751071.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09751071.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026514214","display_name":"Shiyu Zhong","orcid":"https://orcid.org/0000-0003-4168-718X"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyu Zhong","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4168-718X","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011955983","display_name":"Xinsha Fu","orcid":"https://orcid.org/0000-0003-0368-7605"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinsha Fu","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066881061","display_name":"Wei L\u00fc","orcid":"https://orcid.org/0000-0003-4731-1976"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Lu","raw_affiliation_strings":["Guangzhou Urban Construction Consulting Company Ltd., Guangdong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Urban Construction Consulting Company Ltd., Guangdong, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101561880","display_name":"Feng Tang","orcid":"https://orcid.org/0000-0002-6266-7607"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Tang","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6266-7607","affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008158408","display_name":"Yue Lu","orcid":"https://orcid.org/0000-0002-8624-3673"},"institutions":[{"id":"https://openalex.org/I4210164009","display_name":"Guangdong Baiyun University","ror":"https://ror.org/04wmrj902","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210164009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Lu","raw_affiliation_strings":["Guangzhou Baiyun International Airport Company Ltd., Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8624-3673","affiliations":[{"raw_affiliation_string":"Guangzhou Baiyun International Airport Company Ltd., Guangzhou, China","institution_ids":["https://openalex.org/I4210164009"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.1131,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85055979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"57212","last_page":"57226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9308000206947327,"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"}},"topics":[{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9308000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5976929664611816},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5462235808372498},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47035861015319824},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.4265725910663605},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.4227699339389801},{"id":"https://openalex.org/keywords/mathematical-notation","display_name":"Mathematical notation","score":0.4213469624519348},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3518269658088684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34459203481674194},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3317342698574066},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2428026795387268},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1593867540359497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5976929664611816},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5462235808372498},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47035861015319824},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.4265725910663605},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.4227699339389801},{"id":"https://openalex.org/C24457124","wikidata":"https://www.wikidata.org/wiki/Q1140046","display_name":"Mathematical notation","level":3,"score":0.4213469624519348},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3518269658088684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34459203481674194},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3317342698574066},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2428026795387268},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1593867540359497},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3165570","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3165570","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09751071.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3694a36cab94417b99107cb212c289a1","is_oa":false,"landing_page_url":"https://doaj.org/article/3694a36cab94417b99107cb212c289a1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 57212-57226 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3165570","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3165570","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09751071.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3404112629","display_name":null,"funder_award_id":"51978283","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6749791589","display_name":"\u987e\u53ca\u8def-\u4eba-\u8f66\u8026\u5408\u673a\u5236\u7684\u516c\u8def\u4e09\u7ef4\u7a7a\u95f4\u7ebf\u5f62\u53c2\u6570\u5316\u8bbe\u8ba1\u7406\u8bba\u4e0e\u65b9\u6cd5","funder_award_id":"51778242","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226357034.pdf","grobid_xml":"https://content.openalex.org/works/W4226357034.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W191269599","https://openalex.org/W1968626516","https://openalex.org/W1984804236","https://openalex.org/W2007700028","https://openalex.org/W2021526351","https://openalex.org/W2043756605","https://openalex.org/W2054222370","https://openalex.org/W2054872403","https://openalex.org/W2055995231","https://openalex.org/W2077762127","https://openalex.org/W2079155753","https://openalex.org/W2094620536","https://openalex.org/W2124627936","https://openalex.org/W2131274108","https://openalex.org/W2132532936","https://openalex.org/W2161662762","https://openalex.org/W2285072859","https://openalex.org/W2588851335","https://openalex.org/W2591156018","https://openalex.org/W2738446593","https://openalex.org/W2774049169","https://openalex.org/W2803509227","https://openalex.org/W2809171572","https://openalex.org/W2921376690","https://openalex.org/W2954948187","https://openalex.org/W2971977515","https://openalex.org/W3027369654","https://openalex.org/W3128284736","https://openalex.org/W3198293994","https://openalex.org/W3203163722","https://openalex.org/W3205864161","https://openalex.org/W4233720764","https://openalex.org/W6605141904"],"related_works":["https://openalex.org/W1968256718","https://openalex.org/W2393607213","https://openalex.org/W2495832077","https://openalex.org/W2624682093","https://openalex.org/W98357545","https://openalex.org/W2278797713","https://openalex.org/W4249487612","https://openalex.org/W977407476","https://openalex.org/W3167735904","https://openalex.org/W4280602899"],"abstract_inverted_index":{"Driving":[0],"stress":[1,35,100,146,183,200,212,228,273],"is":[2,43],"the":[3,46,79,94,136,164,174,192,203,224,241],"demand":[4],"for":[5,81,93,176,218,266],"reserved":[6],"cognitive":[7],"space":[8],"after":[9],"a":[10,61,91,233],"driver":[11],"perceives":[12],"changes":[13],"in":[14,57,68],"vehicle,":[15,104,206],"road":[16,133,207,245],"and":[17,42,83,106,114,132,155,170,178,198,208,214,221,248,253,269],"environmental":[18,107,122],"factors":[19,197,247],"during":[20],"driving,":[21],"which":[22,53],"has":[23],"been":[24],"proven":[25],"to":[26,119,141,190,201,215,238,271],"affect":[27],"driving":[28,32,99,145,199,249,258],"behaviour,":[29],"interfering":[30],"with":[31,125,149],"safety.":[33],"Traditional":[34],"prediction":[36,147],"relies":[37],"extensively":[38],"on":[39,60,102,211],"psychological":[40,49],"data":[41,50,127],"limited":[44],"by":[45,74],"unpopularity":[47],"of":[48,97,163,181,205,226,236,256],"collection":[51],"technology,":[52],"cannot":[54],"be":[55],"applied":[56],"daily":[58],"life":[59],"large":[62],"scale.":[63],"In":[64],"recent":[65],"years,":[66],"advances":[67],"high-precision":[69],"visual":[70,85,121],"analysis":[71,96],"technology":[72],"represented":[73],"deep":[75],"learning":[76],"have":[77],"laid":[78],"foundation":[80],"automated":[82],"large-scale":[84,254],"environment":[86,209],"analysis.":[87],"This":[88,230],"study":[89,231],"proposes":[90],"framework":[92],"quantitative":[95],"highway":[98,219,267],"based":[101],"multiple":[103,244],"road,":[105],"factors.":[108],"A":[109],"dilated":[110],"residual":[111],"network":[112],"model":[113,148,166],"other":[115],"methods":[116],"were":[117],"used":[118,140,189],"extract":[120],"indexes.":[123],"Combined":[124],"multisource":[126],"such":[128],"as":[129,260,262],"traffic":[130,246],"volume":[131],"design":[134,220,268],"parameters,":[135],"LightGBM":[137],"method":[138,187],"was":[139,188],"construct":[142],"an":[143],"expressway":[144,182,257],"high":[150],"accuracy.":[151],"The":[152,185],"MAE,":[153],"RMSE":[154],"<inline-formula":[156],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[157],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[158],"<tex-math":[159],"notation=\"LaTeX\">$R^{2}$":[160],"</tex-math></inline-formula>":[161],"values":[162],"proposed":[165],"are":[167],"0.042,":[168],"0.004":[169],"0.881,":[171],"respectively,":[172],"demonstrating":[173],"usefulness":[175],"scaled":[177],"efficient":[179,252],"assessment":[180,255],"loads.":[184],"SHAP":[186],"explore":[191],"relationship":[193],"between":[194,243],"different":[195],"influencing":[196],"quantify":[202],"mechanism":[204],"influences":[210],"load,":[213],"propose":[216],"recommendations":[217],"planning":[222,270],"from":[223],"perspective":[225],"reducing":[227],"load.":[229],"provides":[232],"new":[234],"way":[235],"thinking":[237],"quantitatively":[239],"investigate":[240],"link":[242],"stress,":[250,259],"providing":[251],"well":[261],"proposing":[263],"some":[264],"suggestions":[265],"enhance":[272],"reduction.":[274]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
