{"id":"https://openalex.org/W2990569536","doi":"https://doi.org/10.1109/itsc.2019.8917382","title":"Objective and Subjective Analysis to Quantify Influence Factors of Driving Risk","display_name":"Objective and Subjective Analysis to Quantify Influence Factors of Driving Risk","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2990569536","doi":"https://doi.org/10.1109/itsc.2019.8917382","mag":"2990569536"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2019.8917382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (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/A5042865025","display_name":"Heye Huang","orcid":"https://orcid.org/0000-0002-8964-8764"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Heye Huang","raw_affiliation_strings":["Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421781","display_name":"Yang Li","orcid":"https://orcid.org/0000-0003-3259-8695"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013274935","display_name":"Xunjia Zheng","orcid":"https://orcid.org/0000-0002-4736-320X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunjia Zheng","raw_affiliation_strings":["Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436368","display_name":"Jianqiang Wang","orcid":"https://orcid.org/0000-0003-4363-6108"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Wang","raw_affiliation_strings":["Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101624105","display_name":"Qing Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Xu","raw_affiliation_strings":["Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036282981","display_name":"Sifa Zheng","orcid":"https://orcid.org/0000-0001-5160-1365"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sifa Zheng","raw_affiliation_strings":["Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China,100084"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5042865025"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.5206,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.81945897,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4310","last_page":"4316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9951000213623047,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.5986236333847046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5617755055427551},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.47860974073410034},{"id":"https://openalex.org/keywords/headway","display_name":"Headway","score":0.47852790355682373},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4482206106185913},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3709801435470581},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3497203290462494},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20012381672859192},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1849735975265503}],"concepts":[{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.5986236333847046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5617755055427551},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.47860974073410034},{"id":"https://openalex.org/C2779240695","wikidata":"https://www.wikidata.org/wiki/Q4383682","display_name":"Headway","level":2,"score":0.47852790355682373},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4482206106185913},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3709801435470581},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3497203290462494},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20012381672859192},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1849735975265503},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2019.8917382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8917382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1592568942","https://openalex.org/W1964269135","https://openalex.org/W1965287518","https://openalex.org/W1968140153","https://openalex.org/W1980975343","https://openalex.org/W1981054378","https://openalex.org/W1981970415","https://openalex.org/W1999005035","https://openalex.org/W2002787905","https://openalex.org/W2005410442","https://openalex.org/W2027130787","https://openalex.org/W2031855406","https://openalex.org/W2044519557","https://openalex.org/W2053924531","https://openalex.org/W2054872403","https://openalex.org/W2075606589","https://openalex.org/W2079150870","https://openalex.org/W2082903539","https://openalex.org/W2087529253","https://openalex.org/W2109921332","https://openalex.org/W2161435222","https://openalex.org/W2177274602","https://openalex.org/W2186879008","https://openalex.org/W2214443289","https://openalex.org/W2284188655","https://openalex.org/W2510555975","https://openalex.org/W2530088678","https://openalex.org/W2591610095","https://openalex.org/W2793870512","https://openalex.org/W6675683402"],"related_works":["https://openalex.org/W1990084320","https://openalex.org/W3011309105","https://openalex.org/W2363400661","https://openalex.org/W2051775676","https://openalex.org/W2140196366","https://openalex.org/W44667219","https://openalex.org/W2384697752","https://openalex.org/W2388039377","https://openalex.org/W2359045669","https://openalex.org/W237070024"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,40],"method":[4,106],"to":[5,71,96,112,126,136],"quantify":[6,113],"the":[7,16,25,74,92,98,104,114,129,141],"driving":[8,21,35,118],"risks":[9,36,76,119],"of":[10,66,117],"different":[11],"traffic":[12],"elements.":[13],"We":[14],"incorporate":[15],"objective":[17,34],"analysis":[18,27],"using":[19,91],"naturalistic":[20],"study":[22],"(NDS)":[23],"and":[24,57,61,85,147],"subjective":[26,133,142],"with":[28,44],"driver":[29,49],"attitude":[30],"questionnaire":[31],"(DAQ).":[32],"The":[33],"are":[37,59,87],"investigated":[38],"by":[39],"large-scale":[41],"NDS":[42,84],"experiment":[43],"multiple":[45],"sources.":[46],"Meanwhile,":[47],"typical":[48],"behavior":[50],"parameters,":[51],"such":[52],"as":[53],"velocity,":[54],"time":[55],"headway,":[56],"acceleration,":[58],"selected":[60],"analyzed.":[62],"A":[63],"self-reported":[64],"survey":[65],"364":[67],"drivers":[68,78],"is":[69,124],"conducted":[70],"subjectively":[72],"evaluate":[73],"potential":[75],"which":[77],"may":[79],"suffer":[80],"in":[81,120],"various":[82],"situations.":[83],"DAQ":[86],"then":[88],"combined":[89],"together":[90],"multinomial":[93],"logit":[94],"model":[95],"obtain":[97],"relative":[99],"risks.":[100],"Results":[101],"demonstrate":[102],"that":[103,128,140],"proposed":[105],"can":[107],"provide":[108],"an":[109],"effective":[110],"measure":[111],"influence":[115],"factors":[116],"dynamic":[121],"environment.":[122],"It":[123],"interesting":[125],"note":[127],"risk":[130],"value":[131],"from":[132],"evaluation":[134,143],"tends":[135],"be":[137,145],"higher,":[138],"implying":[139],"might":[144],"emotional":[146],"multi-factor":[148],"coupling.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
