{"id":"https://openalex.org/W4412405150","doi":"https://doi.org/10.1109/cniot65435.2025.11071195","title":"Resilience Optimization of Transportation Network via Deep Reinforcement Learning: An Emergency Resource Allocation Framework","display_name":"Resilience Optimization of Transportation Network via Deep Reinforcement Learning: An Emergency Resource Allocation Framework","publication_year":2025,"publication_date":"2025-05-23","ids":{"openalex":"https://openalex.org/W4412405150","doi":"https://doi.org/10.1109/cniot65435.2025.11071195"},"language":"en","primary_location":{"id":"doi:10.1109/cniot65435.2025.11071195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cniot65435.2025.11071195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 6th International Conference on Computing, Networks and Internet of Things (CNIOT)","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/A5086366398","display_name":"Zhangye Xu","orcid":"https://orcid.org/0000-0002-7557-3626"},"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":true,"raw_author_name":"Zhangye Xu","raw_affiliation_strings":["Southeast University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449796","display_name":"Shan Liu","orcid":"https://orcid.org/0000-0002-4385-2487"},"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":"Shan Liu","raw_affiliation_strings":["Southeast University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101991329","display_name":"Ya Zhang","orcid":"https://orcid.org/0000-0002-7555-162X"},"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":"Ya Zhang","raw_affiliation_strings":["Southeast University,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086366398"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21420521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11807","display_name":"Infrastructure Resilience and Vulnerability Analysis","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T11807","display_name":"Infrastructure Resilience and Vulnerability Analysis","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9926999807357788,"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/T11864","display_name":"Supply Chain Resilience and Risk Management","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7409909963607788},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.713100790977478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6389725804328918},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5658395290374756},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.45275071263313293},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3528349995613098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24359378218650818}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7409909963607788},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.713100790977478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6389725804328918},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5658395290374756},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.45275071263313293},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3528349995613098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24359378218650818},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cniot65435.2025.11071195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cniot65435.2025.11071195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 6th International Conference on Computing, Networks and Internet of Things (CNIOT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2130522879","https://openalex.org/W2152255412","https://openalex.org/W2171707538","https://openalex.org/W2406991170","https://openalex.org/W2546571074","https://openalex.org/W2911905108","https://openalex.org/W2963000651","https://openalex.org/W3047052966","https://openalex.org/W3173360237","https://openalex.org/W3208830075","https://openalex.org/W4220725457","https://openalex.org/W4285506347","https://openalex.org/W4323338293","https://openalex.org/W4402071900","https://openalex.org/W4402128007"],"related_works":["https://openalex.org/W2923452570","https://openalex.org/W206598027","https://openalex.org/W2978610750","https://openalex.org/W2022931285","https://openalex.org/W1589966275","https://openalex.org/W2086872282","https://openalex.org/W2137789903","https://openalex.org/W2138781885","https://openalex.org/W4315630413","https://openalex.org/W2153007255"],"abstract_inverted_index":{"Urban":[0],"transportation":[1,128],"networks":[2],"often":[3],"face":[4],"disruptions":[5],"from":[6],"emergencies":[7],"such":[8,71],"as":[9,72],"natural":[10],"disasters":[11],"or":[12],"service":[13],"failures.":[14],"Enhancing":[15],"their":[16],"resilience":[17,108],"is":[18,49,64],"essential":[19],"for":[20,124],"maintaining":[21],"system":[22],"reliability.":[23],"This":[24],"paper":[25],"proposes":[26],"an":[27],"emergency":[28],"resource":[29],"allocation":[30],"framework":[31],"based":[32],"on":[33],"deep":[34],"reinforcement":[35,122],"learning":[36,83,123],"to":[37,66,80],"optimize":[38],"the":[39,98,115],"recovery":[40,106],"of":[41,105,117],"bus":[42],"stops":[43],"in":[44,103],"disrupted":[45],"networks.":[46],"Node":[47],"importance":[48],"quantified":[50],"using":[51],"betweenness":[52],"centrality,":[53],"and":[54,75,84,94,110],"a":[55],"Twin":[56],"Delayed":[57],"Deep":[58],"Deterministic":[59],"Policy":[60],"Gradient":[61],"(TD3)":[62],"algorithm":[63],"applied":[65],"continuously":[67],"allocate":[68],"resources.":[69],"Techniques":[70],"validity":[73],"masking":[74],"power":[76],"normalization":[77],"are":[78],"incorporated":[79],"ensure":[81],"stable":[82],"efficient":[85],"policy":[86],"generation.":[87],"Comparative":[88],"experiments":[89],"with":[90,121],"SAC,":[91],"PPO,":[92],"GA,":[93],"PSO":[95],"demonstrate":[96],"that":[97],"proposed":[99],"method":[100],"outperforms":[101],"alternatives":[102],"terms":[104],"speed,":[107],"metrics,":[109],"robustness.":[111],"The":[112],"results":[113],"validate":[114],"effectiveness":[116],"integrating":[118],"structural":[119],"analysis":[120],"building":[125],"resilient":[126],"urban":[127],"systems.":[129]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
