{"id":"https://openalex.org/W4399253972","doi":"https://doi.org/10.1145/3656766.3656863","title":"Driver behavior analysis in diverging area based on driving simulation","display_name":"Driver behavior analysis in diverging area based on driving simulation","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4399253972","doi":"https://doi.org/10.1145/3656766.3656863"},"language":"en","primary_location":{"id":"doi:10.1145/3656766.3656863","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3656766.3656863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management","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":null,"display_name":"Xiaoduo Gao","orcid":"https://orcid.org/0009-0002-7521-2545"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoduo Gao","raw_affiliation_strings":["Jinan Xiantou Urban Development Investment Group Co., China"],"raw_orcid":"https://orcid.org/0009-0002-7521-2545","affiliations":[{"raw_affiliation_string":"Jinan Xiantou Urban Development Investment Group Co., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032118182","display_name":"Y N Li","orcid":"https://orcid.org/0009-0009-2112-7776"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanhu Li","raw_affiliation_strings":["Jinan Xiantou Xinchuang Urban Development and Construction Co., China"],"raw_orcid":"https://orcid.org/0009-0009-2112-7776","affiliations":[{"raw_affiliation_string":"Jinan Xiantou Xinchuang Urban Development and Construction Co., China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098971332","display_name":"Zhaoyu Zheng","orcid":"https://orcid.org/0009-0009-0821-5683"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhaoyu Zheng","raw_affiliation_strings":["Governing Board of Jinan Start-up Area for Growth Drivers Transformation, China"],"raw_orcid":"https://orcid.org/0009-0009-0821-5683","affiliations":[{"raw_affiliation_string":"Governing Board of Jinan Start-up Area for Growth Drivers Transformation, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103150627","display_name":"Tao Zhao","orcid":"https://orcid.org/0009-0004-9836-9996"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I4210109718","display_name":"Shandong Transportation Research Institute","ror":"https://ror.org/01wcts620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109718"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhao","raw_affiliation_strings":["School of Qilu Transportation, Shandong University, China"],"raw_orcid":"https://orcid.org/0009-0004-9836-9996","affiliations":[{"raw_affiliation_string":"School of Qilu Transportation, Shandong University, China","institution_ids":["https://openalex.org/I4210109718","https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061281629","display_name":"Xiong-Bo Liu","orcid":"https://orcid.org/0009-0006-0096-5250"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolei Liu","raw_affiliation_strings":["Jinan Xiantou Urban Development Investment Group Co., China"],"raw_orcid":"https://orcid.org/0009-0006-0096-5250","affiliations":[{"raw_affiliation_string":"Jinan Xiantou Urban Development Investment Group Co., China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011726721","display_name":"Jianqing Wu","orcid":"https://orcid.org/0000-0003-0813-5957"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]},{"id":"https://openalex.org/I4210109718","display_name":"Shandong Transportation Research Institute","ror":"https://ror.org/01wcts620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109718"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqing Wu","raw_affiliation_strings":["School of Qilu Transportation, Shandong University, China"],"raw_orcid":"https://orcid.org/0000-0003-0813-5957","affiliations":[{"raw_affiliation_string":"School of Qilu Transportation, Shandong University, China","institution_ids":["https://openalex.org/I4210109718","https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3776,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61798949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"574","last_page":"579"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9997000098228455,"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":0.9997000098228455,"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/T10524","display_name":"Traffic control and management","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12095","display_name":"Vehicle emissions and performance","score":0.9986000061035156,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6539584398269653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5849552750587463},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5735942125320435},{"id":"https://openalex.org/keywords/traffic-conflict","display_name":"Traffic conflict","score":0.5194896459579468},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3256686329841614},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22711944580078125},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.12605056166648865},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.099158376455307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07523980736732483}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6539584398269653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5849552750587463},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5735942125320435},{"id":"https://openalex.org/C178944661","wikidata":"https://www.wikidata.org/wiki/Q7832489","display_name":"Traffic conflict","level":4,"score":0.5194896459579468},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3256686329841614},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22711944580078125},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.12605056166648865},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.099158376455307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07523980736732483}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3656766.3656863","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3656766.3656863","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management","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":10,"referenced_works":["https://openalex.org/W1931305913","https://openalex.org/W2023423945","https://openalex.org/W2074191025","https://openalex.org/W2745090846","https://openalex.org/W2913367279","https://openalex.org/W2954471971","https://openalex.org/W2963334388","https://openalex.org/W3129479846","https://openalex.org/W3196672915","https://openalex.org/W4320712846"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W568780039","https://openalex.org/W294803411"],"abstract_inverted_index":{"Freeway":[0],"diverging":[1,44,54,57,125],"areas":[2],"are":[3],"accident-prone":[4],"roadways":[5],"due":[6],"to":[7,16,28,34,37,102,112,119,131],"the":[8,48,73,88,124],"frequent":[9],"vehicle":[10],"lane-changing":[11],"interactions.":[12],"It":[13],"is":[14,26],"necessary":[15],"ensure":[17],"traffic":[18,29,35,103,133],"safety":[19,36],"on":[20,62,128],"this":[21],"roadway.":[22],"And":[23],"driver":[24,51],"behavior":[25,42,52],"crucial":[27],"safety.":[30],"Therefore,":[31,107],"it":[32],"contributes":[33],"analyze":[38,47],"and":[39,115],"anticipate":[40],"driving":[41,85,93],"in":[43,53],"areas.":[45],"To":[46],"characteristics":[49,114,130],"of":[50,67,84],"areas,":[55,126],"a":[56],"scenario":[58],"was":[59],"created":[60],"based":[61,127],"Unity":[63],"3D.":[64],"A":[65],"total":[66],"120":[68],"records":[69],"were":[70,78],"collected":[71],"for":[72],"designed":[74],"scenario.":[75],"The":[76],"participants":[77],"clustered":[79],"into":[80],"three":[81],"different":[82,96,117,120],"types":[83],"styles":[86,94],"using":[87],"clustering":[89],"voting":[90],"method.":[91],"Different":[92],"have":[95],"characteristics.":[97],"These":[98],"differences":[99],"can":[100],"lead":[101],"conflicts":[104],"or":[105],"crashes.":[106,134],"we":[108],"should":[109],"pay":[110],"attention":[111],"these":[113,129],"make":[116],"responses":[118],"drivers":[121],"arriving":[122],"at":[123],"reduce":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
