{"id":"https://openalex.org/W4285134705","doi":"https://doi.org/10.1109/tits.2022.3176918","title":"A Simulation-Based Model for Continuous Network Design Problem Using Bayesian Optimization","display_name":"A Simulation-Based Model for Continuous Network Design Problem Using Bayesian Optimization","publication_year":2022,"publication_date":"2022-05-30","ids":{"openalex":"https://openalex.org/W4285134705","doi":"https://doi.org/10.1109/tits.2022.3176918"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3176918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3176918","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/A5036690692","display_name":"Ruyang Yin","orcid":"https://orcid.org/0000-0003-0971-0167"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Ruyang Yin","raw_affiliation_strings":["Department of Civil Engineering, Institute of Transport Studies, Monash University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Institute of Transport Studies, Monash University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320722","display_name":"Zhiyuan Liu","orcid":"https://orcid.org/0000-0002-6331-0810"},"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":"Zhiyuan Liu","raw_affiliation_strings":["Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101854872","display_name":"Nan Zheng","orcid":"https://orcid.org/0000-0002-7980-3417"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nan Zheng","raw_affiliation_strings":["Department of Civil Engineering, Institute of Transport Studies, Monash University, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Institute of Transport Studies, Monash University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036690692"],"corresponding_institution_ids":["https://openalex.org/I56590836"],"apc_list":null,"apc_paid":null,"fwci":5.3336,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.95130694,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"23","issue":"11","first_page":"20352","last_page":"20367"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998000264167786,"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":0.9959999918937683,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.6740050315856934},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.5959433913230896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5907231569290161},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.48822668194770813},{"id":"https://openalex.org/keywords/network-planning-and-design","display_name":"Network planning and design","score":0.4798409640789032},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.4389477074146271},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.4340372085571289},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.42505234479904175},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41855162382125854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1418537199497223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13581159710884094}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6740050315856934},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.5959433913230896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5907231569290161},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.48822668194770813},{"id":"https://openalex.org/C114563136","wikidata":"https://www.wikidata.org/wiki/Q19725982","display_name":"Network planning and design","level":2,"score":0.4798409640789032},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.4389477074146271},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.4340372085571289},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.42505234479904175},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41855162382125854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1418537199497223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13581159710884094},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3176918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3176918","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/G3716380425","display_name":null,"funder_award_id":"52131203","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":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W797602364","https://openalex.org/W1510052597","https://openalex.org/W1546270561","https://openalex.org/W1558516341","https://openalex.org/W1965538564","https://openalex.org/W1969440974","https://openalex.org/W1969925480","https://openalex.org/W1972872372","https://openalex.org/W1973555482","https://openalex.org/W1991701650","https://openalex.org/W2000248118","https://openalex.org/W2004729193","https://openalex.org/W2009883997","https://openalex.org/W2012714813","https://openalex.org/W2013082005","https://openalex.org/W2013688526","https://openalex.org/W2015806452","https://openalex.org/W2018061857","https://openalex.org/W2038079205","https://openalex.org/W2041947003","https://openalex.org/W2045590079","https://openalex.org/W2049537344","https://openalex.org/W2057039020","https://openalex.org/W2058405995","https://openalex.org/W2060410323","https://openalex.org/W2060625748","https://openalex.org/W2061632391","https://openalex.org/W2063525465","https://openalex.org/W2064693066","https://openalex.org/W2068829733","https://openalex.org/W2070477552","https://openalex.org/W2074987215","https://openalex.org/W2075385831","https://openalex.org/W2078225548","https://openalex.org/W2087301741","https://openalex.org/W2091370793","https://openalex.org/W2092690092","https://openalex.org/W2093286150","https://openalex.org/W2101053375","https://openalex.org/W2108252669","https://openalex.org/W2124289529","https://openalex.org/W2154829725","https://openalex.org/W2157719946","https://openalex.org/W2175722809","https://openalex.org/W2239448053","https://openalex.org/W2316351184","https://openalex.org/W2342732769","https://openalex.org/W2345501191","https://openalex.org/W2603325781","https://openalex.org/W2739977609","https://openalex.org/W2772761202","https://openalex.org/W2800757231","https://openalex.org/W2902482938","https://openalex.org/W2903709398","https://openalex.org/W2903983811","https://openalex.org/W3031860997","https://openalex.org/W3054092259","https://openalex.org/W3107357813","https://openalex.org/W3116651547","https://openalex.org/W3121339476","https://openalex.org/W3125433945","https://openalex.org/W3206563773","https://openalex.org/W4206928205","https://openalex.org/W4207032153","https://openalex.org/W4211049957","https://openalex.org/W4212902473","https://openalex.org/W4232697640","https://openalex.org/W4253561658","https://openalex.org/W4289761856","https://openalex.org/W4293197619","https://openalex.org/W6661928869","https://openalex.org/W6742237144","https://openalex.org/W6753146606"],"related_works":["https://openalex.org/W2030816003","https://openalex.org/W4239992647","https://openalex.org/W2150013480","https://openalex.org/W1554458299","https://openalex.org/W81423522","https://openalex.org/W1509860481","https://openalex.org/W4380627621","https://openalex.org/W4292081304","https://openalex.org/W2950792054","https://openalex.org/W4237912051"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,23,26,30,35,48,68,79,87,103,115,121,135,142,170,179,188,202,209,221],"continuous":[4],"network":[5,50,232],"design":[6,51,184],"problem":[7],"(CNDP)":[8],"and":[9,15,34,58,107,120,146,155,165],"proposes":[10],"a":[11,94,214],"simulation-based":[12,222],"bi-level":[13,24],"model":[14],"solution":[16,111,212],"framework":[17,112,223],"based":[18,161],"on":[19,162,178],"Bayesian":[20,95],"optimization.":[21,108],"In":[22],"model,":[25],"upper":[27],"level":[28,37],"minimizes":[29],"total":[31],"system":[32],"cost,":[33],"lower":[36],"assigns":[38],"traffic":[39,60,77],"under":[40],"an":[41,224],"approximated":[42],"dynamic":[43],"equilibrium":[44],"condition":[45],"corresponding":[46],"to":[47,66,86,101,140,167,207,229],"given":[49],"strategy.":[52],"A":[53],"simulation":[54,106,171],"tool":[55],"integrated":[56],"micro-":[57],"macro-":[59],"dynamics,":[61],"namely":[62],"SUMO,":[63],"is":[64,99,131,158,205],"employed":[65],"solve":[67],"lower-level":[69],"problem.":[70],"The":[71,109,148,194],"embedded":[72],"high-fidelity,":[73],"non-linear":[74],"understanding":[75],"of":[76,89,117,123,138,191],"in":[78,187],"simulator":[80],"oftentimes":[81],"gains":[82],"additional":[83],"complexity":[84],"due":[85],"lack":[88],"tractable":[90],"mathematical":[91],"representation.":[92],"Thus,":[93],"machine":[96],"learning":[97],"technique":[98],"utilized":[100],"build":[102],"link":[104,151],"between":[105,144,150],"proposed":[110,133,203],"takes":[113],"both":[114],"advantages":[116],"fine-grained":[118],"simulations":[119],"efficiency":[122],"surrogate-based":[124],"optimization":[125],"techniques.":[126],"Moreover,":[127],"lane":[128,156,181],"width":[129,157,182],"expansion":[130,183],"innovatively":[132],"as":[134],"decision":[136],"variable":[137],"CNDP":[139],"bridge":[141],"gap":[143],"theory":[145],"practice.":[147],"relationship":[149],"free-flow":[152],"speed":[153],"(FFS)":[154],"also":[159],"explored":[160],"real":[163],"data":[164],"established":[166],"accurately":[168],"calibrate":[169],"input.":[172],"For":[173],"demonstrative":[174],"purposes,":[175],"numerical":[176],"experiments":[177],"optimal":[180,211],"were":[185],"conducted":[186],"inner":[189],"city":[190],"Suzhou,":[192],"China.":[193],"results":[195],"show":[196],"that":[197],"with":[198],"proper":[199],"parameter":[200],"settings,":[201],"method":[204],"capable":[206],"find":[208],"global":[210],"within":[213],"very":[215],"tight":[216],"computational":[217],"budget,":[218],"which":[219],"makes":[220],"encouraging":[225],"option":[226],"for":[227],"policymakers":[228],"enhance":[230],"transportation":[231],"performance.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}