{"id":"https://openalex.org/W4411171846","doi":"https://doi.org/10.1109/tits.2025.3574969","title":"A Data-Driven Resilience Framework of Directionality Configuration Based on Topological Credentials in Road Networks","display_name":"A Data-Driven Resilience Framework of Directionality Configuration Based on Topological Credentials in Road Networks","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4411171846","doi":"https://doi.org/10.1109/tits.2025.3574969"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3574969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3574969","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/A5048153269","display_name":"H M Imran Kays","orcid":"https://orcid.org/0000-0001-9093-5114"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. M. Imran Kays","raw_affiliation_strings":["School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, USA"],"raw_orcid":"https://orcid.org/0000-0001-9093-5114","affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038969609","display_name":"Arif Mohaimin Sadri","orcid":"https://orcid.org/0000-0001-5571-6741"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arif Mohaimin Sadri","raw_affiliation_strings":["School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, USA"],"raw_orcid":"https://orcid.org/0000-0001-5571-6741","affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032586424","display_name":"Kanthasamy K. Muraleetharan","orcid":"https://orcid.org/0000-0002-4187-4818"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kanthasamy K. Muraleetharan","raw_affiliation_strings":["School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, USA"],"raw_orcid":"https://orcid.org/0000-0002-4187-4818","affiliations":[{"raw_affiliation_string":"School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8692664"],"apc_list":null,"apc_paid":null,"fwci":1.396,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84080279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"26","issue":"10","first_page":"16405","last_page":"16417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.8838000297546387,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.8838000297546387,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.8324000239372253,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.8133000135421753,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/directionality","display_name":"Directionality","score":0.6914220452308655},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.6376984119415283},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5206350684165955},{"id":"https://openalex.org/keywords/topological-data-analysis","display_name":"Topological data analysis","score":0.4460780620574951},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4395168721675873},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27242398262023926},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16493740677833557},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1181277334690094},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0914103090763092}],"concepts":[{"id":"https://openalex.org/C29648211","wikidata":"https://www.wikidata.org/wiki/Q1995607","display_name":"Directionality","level":2,"score":0.6914220452308655},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.6376984119415283},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5206350684165955},{"id":"https://openalex.org/C2776477805","wikidata":"https://www.wikidata.org/wiki/Q4460773","display_name":"Topological data analysis","level":2,"score":0.4460780620574951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4395168721675873},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27242398262023926},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16493740677833557},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1181277334690094},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0914103090763092},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3574969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3574969","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":[{"display_name":"Climate action","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G3005124406","display_name":null,"funder_award_id":"OIA-1946093","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W610469435","https://openalex.org/W1620005141","https://openalex.org/W1977150667","https://openalex.org/W1984899407","https://openalex.org/W1985891531","https://openalex.org/W1993185485","https://openalex.org/W1995386954","https://openalex.org/W2015699495","https://openalex.org/W2029608926","https://openalex.org/W2043925417","https://openalex.org/W2055017631","https://openalex.org/W2086732433","https://openalex.org/W2090734738","https://openalex.org/W2090866468","https://openalex.org/W2092838011","https://openalex.org/W2093286150","https://openalex.org/W2101664201","https://openalex.org/W2133751107","https://openalex.org/W2235269566","https://openalex.org/W2393521099","https://openalex.org/W2470652401","https://openalex.org/W2598329095","https://openalex.org/W2764342288","https://openalex.org/W2766845306","https://openalex.org/W2766966442","https://openalex.org/W2776058486","https://openalex.org/W2791177806","https://openalex.org/W2804772865","https://openalex.org/W2890097399","https://openalex.org/W2916013203","https://openalex.org/W2952038167","https://openalex.org/W3014197885","https://openalex.org/W3042148871","https://openalex.org/W3042198904","https://openalex.org/W3044117912","https://openalex.org/W3122990187","https://openalex.org/W3159292650","https://openalex.org/W3170596359","https://openalex.org/W3215117212","https://openalex.org/W4283215300","https://openalex.org/W4297983370","https://openalex.org/W4313829996","https://openalex.org/W4385213387","https://openalex.org/W4386487226"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2624817431","https://openalex.org/W2794987474","https://openalex.org/W33032069","https://openalex.org/W1599251874","https://openalex.org/W4232225082","https://openalex.org/W2029088481","https://openalex.org/W2334790377"],"abstract_inverted_index":{"Roadway":[0],"reconfiguration":[1],"is":[2,141],"a":[3,30,58],"crucial":[4],"aspect":[5],"of":[6,128,138,159,191],"transportation":[7,111,203,220,240],"planning,":[8],"aiming":[9],"to":[10,44,124,154,222,230],"enhance":[11,183],"traffic":[12,38,51,95,122,213],"flow,":[13],"reduce":[14],"congestion,":[15],"and":[16,25,40,92,114,189,194,212,225,234],"improve":[17],"overall":[18,133],"road":[19],"network":[20,52,112,116,134,211,241],"performance":[21],"with":[22],"existing":[23],"infrastructure":[24],"resources.":[26],"This":[27,165,228],"paper":[28],"presents":[29],"novel":[31],"decision":[32,60,102],"support":[33],"framework":[34,56,108,218],"integrating":[35,206],"metaheuristic":[36],"optimization,":[37,80],"simulation,":[39],"machine":[41,144],"learning":[42,145],"model":[43,82],"rank":[45],"various":[46],"roadway":[47,130,139,179,236],"configurations":[48,140,172],"for":[49,177,201],"better":[50],"performance.":[53,135,242],"The":[54,136,186],"proposed":[55,217],"incorporates":[57],"multi-criteria":[59],"analysis":[61,167],"(MCDA)":[62],"approach,":[63],"combining":[64],"input":[65],"from":[66,79],"generated":[67],"scenarios":[68],"during":[69],"the":[70,81,99,107,110,126,148,156,170,199,208,216],"genetic":[71],"algorithm":[72],"(GA)":[73],"optimization":[74],"process.":[75],"By":[76,205],"utilizing":[77],"data":[78],"identifies":[83],"total":[84,93],"betweenness":[85],"centrality":[86],"(TBC),":[87],"system":[88],"travel":[89],"time":[90],"(STT),":[91],"link":[94],"flow":[96,214],"(TLTF)":[97],"as":[98],"most":[100],"influential":[101],"variables.":[103],"Utilizing":[104],"graph":[105],"theory,":[106],"models":[109],"topology":[113],"applies":[115],"metrics":[117],"alongside":[118],"dynamic":[119],"user":[120],"equilibrium":[121],"assignment":[123],"evaluate":[125],"impact":[127],"each":[129,160],"configuration":[131],"on":[132],"ranking":[137],"achieved":[142],"through":[143],"algorithms,":[146],"specifically":[147],"Random":[149],"Forest":[150],"Regression":[151],"(RFR)":[152],"model,":[153,210],"determine":[155],"combined":[157],"effect":[158],"criterion":[161],"(TBC,":[162],"STT,":[163],"TLTF).":[164],"network-based":[166],"ensures":[168],"that":[169],"selected":[171],"are":[173],"not":[174],"only":[175],"optimal":[176],"individual":[178],"segments":[180],"but":[181],"also":[182],"system-level":[184],"efficiency.":[185],"increasing":[187],"frequency":[188],"intensity":[190],"natural":[192],"disasters":[193],"other":[195],"disruptive":[196],"events":[197],"highlight":[198],"need":[200],"resilient":[202,235],"networks.":[204],"MCDA,":[207],"RFR":[209],"metrics,":[215],"empowers":[219],"planners":[221],"make":[223],"informed":[224],"data-driven":[226],"decisions.":[227],"leads":[229],"more":[231],"sustainable,":[232],"efficient,":[233],"configurations,":[237],"ultimately":[238],"improving":[239]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}