{"id":"https://openalex.org/W4384788035","doi":"https://doi.org/10.1109/tits.2023.3290165","title":"A Superposition Assessment Framework of Multi-Source Traffic Risks for Mega-Events Using Risk Field Model and Time-Series Generative Adversarial Networks","display_name":"A Superposition Assessment Framework of Multi-Source Traffic Risks for Mega-Events Using Risk Field Model and Time-Series Generative Adversarial Networks","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4384788035","doi":"https://doi.org/10.1109/tits.2023.3290165"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2023.3290165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3290165","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/A5087524282","display_name":"Zeyang Cheng","orcid":"https://orcid.org/0000-0002-8147-2143"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zeyang Cheng","raw_affiliation_strings":["School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-8147-2143","affiliations":[{"raw_affiliation_string":"School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012824397","display_name":"Jian L\u00fc","orcid":"https://orcid.org/0000-0002-9661-1337"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Lu","raw_affiliation_strings":["Jiangsu Key Laboratory of Urban ITS, the Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, and the School of Transportation, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, the Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, and the School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034575563","display_name":"Heng Ding","orcid":"https://orcid.org/0000-0003-4516-436X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Ding","raw_affiliation_strings":["School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-4516-436X","affiliations":[{"raw_affiliation_string":"School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075896685","display_name":"Yunxuan Li","orcid":"https://orcid.org/0000-0002-0738-5383"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunxuan Li","raw_affiliation_strings":["Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021223977","display_name":"Haijian Bai","orcid":"https://orcid.org/0000-0003-4551-5473"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijian Bai","raw_affiliation_strings":["School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-4551-5473","affiliations":[{"raw_affiliation_string":"School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370299","display_name":"Weihua Zhang","orcid":"https://orcid.org/0000-0001-7899-2642"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Zhang","raw_affiliation_strings":["School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087524282"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":2.2619,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86669584,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"24","issue":"11","first_page":"12736","last_page":"12753"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.8898000121116638,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.8898000121116638,"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"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.8884999752044678,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.883899986743927,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/superposition-principle","display_name":"Superposition principle","score":0.7541117668151855},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5459184050559998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5154557824134827},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48964840173721313},{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.46347957849502563},{"id":"https://openalex.org/keywords/risk-assessment","display_name":"Risk assessment","score":0.46236708760261536},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3653441369533539},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3589719235897064},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3319419026374817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17950615286827087},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15483632683753967},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13638591766357422}],"concepts":[{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.7541117668151855},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5459184050559998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5154557824134827},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48964840173721313},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.46347957849502563},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.46236708760261536},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3653441369533539},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3589719235897064},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3319419026374817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17950615286827087},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15483632683753967},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13638591766357422},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"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/tits.2023.3290165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2023.3290165","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":[],"awards":[{"id":"https://openalex.org/G2834017379","display_name":null,"funder_award_id":"JZ2022HGTA0321","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8276451640","display_name":null,"funder_award_id":"52202411","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8573734371","display_name":null,"funder_award_id":"52072108","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1968701380","https://openalex.org/W1977153226","https://openalex.org/W1985791000","https://openalex.org/W1991410369","https://openalex.org/W1991770012","https://openalex.org/W1992085841","https://openalex.org/W2004353783","https://openalex.org/W2011504567","https://openalex.org/W2024558842","https://openalex.org/W2027392238","https://openalex.org/W2036785686","https://openalex.org/W2047493229","https://openalex.org/W2049952439","https://openalex.org/W2056833816","https://openalex.org/W2069842088","https://openalex.org/W2069930948","https://openalex.org/W2120907918","https://openalex.org/W2129411201","https://openalex.org/W2131739422","https://openalex.org/W2150010190","https://openalex.org/W2156368516","https://openalex.org/W2190353863","https://openalex.org/W2265826725","https://openalex.org/W2340689739","https://openalex.org/W2342131533","https://openalex.org/W2355155600","https://openalex.org/W2530088678","https://openalex.org/W2557391638","https://openalex.org/W2593182953","https://openalex.org/W2883396475","https://openalex.org/W2892302657","https://openalex.org/W2925648085","https://openalex.org/W2964193755","https://openalex.org/W2970360512","https://openalex.org/W2975767248","https://openalex.org/W2980807333","https://openalex.org/W3020398622","https://openalex.org/W3033337169","https://openalex.org/W3034294191","https://openalex.org/W3044523339","https://openalex.org/W3046791050","https://openalex.org/W3083935822","https://openalex.org/W3096831136","https://openalex.org/W3120878013","https://openalex.org/W3127112266","https://openalex.org/W3127172108","https://openalex.org/W3164358932","https://openalex.org/W3171419621","https://openalex.org/W3190972852","https://openalex.org/W3197795840","https://openalex.org/W3203075820","https://openalex.org/W4200538792","https://openalex.org/W4213090353","https://openalex.org/W4220661746","https://openalex.org/W4220739250","https://openalex.org/W4225754812","https://openalex.org/W4225882772","https://openalex.org/W4285173565","https://openalex.org/W4285214895","https://openalex.org/W4285307478","https://openalex.org/W4285384024","https://openalex.org/W4290929874","https://openalex.org/W4316660996","https://openalex.org/W4363676665","https://openalex.org/W6644426853","https://openalex.org/W6659849045","https://openalex.org/W6767782324","https://openalex.org/W6795925861"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2394139481","https://openalex.org/W2348925352","https://openalex.org/W2348097614","https://openalex.org/W2362244724","https://openalex.org/W2385512145","https://openalex.org/W2365277049","https://openalex.org/W4320500701","https://openalex.org/W2112973065","https://openalex.org/W2352912723"],"abstract_inverted_index":{"In":[0],"this":[1,93],"study,":[2],"a":[3,55,77],"novel":[4],"traffic":[5,26,49,86,109,116,129,143,165,190,204],"risk":[6,13,29,38,50,117,145,205],"assessment":[7],"framework":[8],"of":[9,24,47,67,84,92,107],"mega-events":[10],"that":[11],"integrate":[12],"field":[14,39],"and":[15,31,111,131,158,162,192],"deep":[16],"learning":[17],"is":[18,33,61,160,175],"proposed.":[19],"Considering":[20],"the":[21,28,45,65,81,89,98,105,112,115,120,124,141,147,152,163,168],"inherent":[22],"difference":[23],"different":[25,85,128,179],"risks,":[27],"quantification":[30],"standardization":[32],"conducted":[34],"first.":[35],"Then":[36,54],"several":[37],"models":[40],"are":[41,101,134],"constructed":[42],"to":[43,63,79,119],"quantify":[44],"impacts":[46],"multi-source":[48,203],"superposition":[51,68,82,99,133,164,193],"on":[52,88],"mega-events.":[53,208],"time-series":[56],"generative":[57],"adversarial":[58],"networks":[59],"(TimeGAN)":[60],"used":[62],"predict":[64],"evolution":[66],"risk.":[69],"We":[70],"select":[71],"2022":[72],"Beijing":[73],"Winter":[74],"Olympics":[75],"as":[76],"case":[78],"explore":[80],"effects":[83],"risks":[87,100,130,166,191],"convoy":[90,121],"entrance":[91],"mega-event.":[94],"The":[95,138,195],"results":[96,139],"illustrate":[97],"significantly":[102],"associated":[103],"with":[104],"strength":[106],"each":[108],"risk,":[110],"distance":[113],"from":[114],"location":[118],"entrance.":[122],"Furthermore,":[123],"temporal":[125],"evolutions":[126],"for":[127,155,207],"their":[132],"forecasted":[135],"using":[136],"TimeGAN.":[137],"show":[140],"unexpected":[142],"congestion":[144],"presents":[146],"highest":[148],"predictive":[149,170],"performance":[150,171],"(i.e.,":[151],"average":[153,173],"error":[154,174],"RMSE,":[156],"MAE,":[157],"MSE":[159],"0.135%)":[161],"present":[167],"lowest":[169],"(the":[172],"0.536%).":[176],"Comparison":[177],"between":[178],"methods":[180,185],"demonstrates":[181],"TimeGAN":[182],"outperforms":[183],"other":[184],"in":[186,202],"predicting":[187],"both":[188],"single":[189],"risks.":[194],"research":[196],"findings":[197],"could":[198],"be":[199],"potentially":[200],"referenced":[201],"management":[206]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
