{"id":"https://openalex.org/W2936916715","doi":"https://doi.org/10.1109/fskd.2018.8687217","title":"The Influence of Speed Limit Policy on Traffic Safety","display_name":"The Influence of Speed Limit Policy on Traffic Safety","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2936916715","doi":"https://doi.org/10.1109/fskd.2018.8687217","mag":"2936916715"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2018.8687217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2018.8687217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5101815722","display_name":"Zhihua Xiong","orcid":"https://orcid.org/0000-0002-4164-4254"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Xiong","raw_affiliation_strings":["Beijing Jiaotong University, MOE Key Laboratory for Urban Transportation Complex, Systems Theory and Technology, Beijing, China","Beijing Jiaotong University, Systems Theory and Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, MOE Key Laboratory for Urban Transportation Complex, Systems Theory and Technology, Beijing, China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Jiaotong University, Systems Theory and Technology, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038554248","display_name":"Zhisheng Yao","orcid":"https://orcid.org/0009-0001-4546-5691"},"institutions":[{"id":"https://openalex.org/I4210107825","display_name":"Beijing Municipal Commission of Urban Planning","ror":"https://ror.org/01qtkgt88","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210107825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhisheng Yao","raw_affiliation_strings":["Transportation department, Beijing Municipal Institute of City Planning and Design, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Transportation department, Beijing Municipal Institute of City Planning and Design, Beijing, China","institution_ids":["https://openalex.org/I4210107825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2668714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1122","last_page":"1126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9932000041007996,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9830999970436096,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/speed-limit","display_name":"Speed limit","score":0.7861420512199402},{"id":"https://openalex.org/keywords/gross-domestic-product","display_name":"Gross domestic product","score":0.5244284272193909},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5008945465087891},{"id":"https://openalex.org/keywords/negative-binomial-distribution","display_name":"Negative binomial distribution","score":0.4875635504722595},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.47065702080726624},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.45294564962387085},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4406171143054962},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.33790430426597595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32665038108825684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2811245322227478},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2681572437286377},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2336525321006775},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.11069288849830627},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.07813704013824463}],"concepts":[{"id":"https://openalex.org/C2780210587","wikidata":"https://www.wikidata.org/wiki/Q1077350","display_name":"Speed limit","level":2,"score":0.7861420512199402},{"id":"https://openalex.org/C114350782","wikidata":"https://www.wikidata.org/wiki/Q12638","display_name":"Gross domestic product","level":2,"score":0.5244284272193909},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5008945465087891},{"id":"https://openalex.org/C199335787","wikidata":"https://www.wikidata.org/wiki/Q743364","display_name":"Negative binomial distribution","level":3,"score":0.4875635504722595},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.47065702080726624},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.45294564962387085},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4406171143054962},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.33790430426597595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32665038108825684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2811245322227478},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2681572437286377},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2336525321006775},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.11069288849830627},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.07813704013824463},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2018.8687217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2018.8687217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W69138877","https://openalex.org/W560576383","https://openalex.org/W644100682","https://openalex.org/W1603819187","https://openalex.org/W1971766591","https://openalex.org/W1972876730","https://openalex.org/W2015690180","https://openalex.org/W2015732841","https://openalex.org/W2030380928","https://openalex.org/W2103430714","https://openalex.org/W2117949234","https://openalex.org/W2162481665","https://openalex.org/W2172294347","https://openalex.org/W2367198271","https://openalex.org/W2383002988","https://openalex.org/W4247993233","https://openalex.org/W6602873372","https://openalex.org/W6621044112","https://openalex.org/W6636109271","https://openalex.org/W7006025312"],"related_works":["https://openalex.org/W2012131233","https://openalex.org/W2946039757","https://openalex.org/W2368378103","https://openalex.org/W2370707173","https://openalex.org/W2352948035","https://openalex.org/W1989372349","https://openalex.org/W4210287852","https://openalex.org/W2043846035","https://openalex.org/W2388865901","https://openalex.org/W2777448992"],"abstract_inverted_index":{"Previous":[0],"attempts":[1],"to":[2,75,94,104,132],"conduct":[3,76],"the":[4,23,36,42,52,77,83,96,99,123,126,129,149,155,160,172,182],"connection":[5],"between":[6,125],"speed":[7,54,116],"limit":[8,55,117],"and":[9,16,38,122,128],"traffic":[10,80],"crashes":[11],"focus":[12],"on":[13],"short-term":[14],"periods":[15],"a":[17],"specified":[18],"or":[19],"limited":[20],"states":[21],"after":[22,82],"National":[24],"Maximum":[25],"Speed":[26],"Law":[27],"(NMSL)of":[28],"USA":[29],"changed.":[30],"The":[31,59,87,106,164],"long-term":[32,183],"period":[33],"variety":[34],"of":[35,41,69,79],"fatalities":[37,142],"fatality":[39,165],"rate":[40,166],"whole":[43],"United":[44],"States":[45],"are":[46,73],"proposed":[47,93],"in":[48,151,171,181],"this":[49],"paper":[50],"when":[51],"federal":[53],"law":[56],"was":[57,85,162],"repealed.":[58,86,163],"macro":[60],"factors":[61],"such":[62],"as":[63],"gross":[64],"domestic":[65],"product":[66],"(GDP),":[67],"number":[68],"vehicle":[70],"et":[71],"al.":[72],"considered":[74],"influence":[78],"safety":[81],"NMSL":[84,161],"negative":[88],"binomial":[89],"regression":[90],"model":[91],"is":[92,114,147,177],"analyze":[95],"impact":[97],"by":[98],"data":[100],"collected":[101],"from":[102],"1975":[103],"1995.":[105],"prediction":[107,127],"that":[108,141],"it":[109],"would":[110],"be":[111,120,135,139],"if":[112],"there":[113],"no":[115,168,178],"change":[118,180],"can":[119,134,138],"obtained":[121],"deviation":[124],"actual":[130],"from1996":[131],"2015":[133],"estimated.":[136],"It":[137],"found":[140],"have":[143],"significantly":[144],"increased":[145],"(maximum":[146],"9.3%)than":[148],"typical":[150],"most":[152],"(8":[153],"years)of":[154],"first":[156,173],"10":[157,174],"years":[158],"since":[159],"has":[167],"significant":[169,179],"increase":[170],"years.":[175],"There":[176],"(10-20":[184],"years)period.":[185]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}