{"id":"https://openalex.org/W7155610203","doi":"https://doi.org/10.1016/j.cie.2026.112049","title":"Navigating uncertain and disrupted road conditions in a disaster response: A consensus-based algorithm for solving the Stochastic Canadian Traveler Problem","display_name":"Navigating uncertain and disrupted road conditions in a disaster response: A consensus-based algorithm for solving the Stochastic Canadian Traveler Problem","publication_year":2026,"publication_date":"2026-04-25","ids":{"openalex":"https://openalex.org/W7155610203","doi":"https://doi.org/10.1016/j.cie.2026.112049"},"language":"en","primary_location":{"id":"doi:10.1016/j.cie.2026.112049","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cie.2026.112049","pdf_url":null,"source":{"id":"https://openalex.org/S196821226","display_name":"Computers & Industrial Engineering","issn_l":"0360-8352","issn":["0360-8352","1879-0550"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers & Industrial Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.cie.2026.112049","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092928633","display_name":"Neel Chanchad","orcid":null},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Neel Chanchad","raw_affiliation_strings":["University of Arkansas, Fayetteville, 72701, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Arkansas, Fayetteville, 72701, US","institution_ids":["https://openalex.org/I78715868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081073280","display_name":"Ashlea Bennett Milburn","orcid":"https://orcid.org/0000-0002-9798-1364"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashlea Bennett Milburn","raw_affiliation_strings":["University of Arkansas, Fayetteville, 72701, US"],"raw_orcid":"https://orcid.org/0000-0002-9798-1364","affiliations":[{"raw_affiliation_string":"University of Arkansas, Fayetteville, 72701, US","institution_ids":["https://openalex.org/I78715868"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5092928633"],"corresponding_institution_ids":["https://openalex.org/I78715868"],"apc_list":{"value":3310,"currency":"USD","value_usd":3310},"apc_paid":{"value":3310,"currency":"USD","value_usd":3310},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.95610928,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"217","issue":null,"first_page":"112049","last_page":"112049"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11413","display_name":"Risk and Portfolio Optimization","score":0.11590000241994858,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11413","display_name":"Risk and Portfolio Optimization","score":0.11590000241994858,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.11469999700784683,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource 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"}},{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.10660000145435333,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/disaster-response","display_name":"Disaster response","score":0.25130000710487366},{"id":"https://openalex.org/keywords/emergency-management","display_name":"Emergency management","score":0.25130000710487366},{"id":"https://openalex.org/keywords/natural-disaster","display_name":"Natural disaster","score":0.2320999950170517}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5428000092506409},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.45559999346733093},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4027999937534332},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32600000500679016},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2978000044822693},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2808000147342682},{"id":"https://openalex.org/C62555980","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Emergency management","level":2,"score":0.25130000710487366},{"id":"https://openalex.org/C3018653863","wikidata":"https://www.wikidata.org/wiki/Q5281355","display_name":"Disaster response","level":3,"score":0.25130000710487366},{"id":"https://openalex.org/C166566181","wikidata":"https://www.wikidata.org/wiki/Q8065","display_name":"Natural disaster","level":2,"score":0.2320999950170517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22619999945163727}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.cie.2026.112049","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cie.2026.112049","pdf_url":null,"source":{"id":"https://openalex.org/S196821226","display_name":"Computers & Industrial Engineering","issn_l":"0360-8352","issn":["0360-8352","1879-0550"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers & Industrial Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.cie.2026.112049","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cie.2026.112049","pdf_url":null,"source":{"id":"https://openalex.org/S196821226","display_name":"Computers & Industrial Engineering","issn_l":"0360-8352","issn":["0360-8352","1879-0550"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers & Industrial Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.8602693676948547}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1537258144","https://openalex.org/W1992876208","https://openalex.org/W2009831508","https://openalex.org/W2043815754","https://openalex.org/W2078856178","https://openalex.org/W2092129437","https://openalex.org/W2139295133","https://openalex.org/W2169528473","https://openalex.org/W2267848830","https://openalex.org/W2885769506","https://openalex.org/W2943139837","https://openalex.org/W3037782766","https://openalex.org/W3176361500","https://openalex.org/W3197467750","https://openalex.org/W4392414140"],"related_works":[],"abstract_inverted_index":{"The":[0,132],"timely":[1,186],"delivery":[2],"of":[3,76],"critical":[4],"supplies":[5],"and":[6,16,47,56,81,85,166,185,210],"services":[7],"in":[8,144,163,174],"disaster-affected":[9],"regions":[10],"is":[11],"challenged":[12],"by":[13],"infrastructure":[14,28],"failures":[15],"uncertainty":[17,29],"regarding":[18],"network":[19],"accessibility.":[20],"This":[21],"paper":[22],"models":[23],"this":[24,152],"routing":[25,41,165],"problem":[26],"under":[27],"as":[30],"a":[31,155],"Stochastic":[32,198],"Canadian":[33,180],"Traveler":[34,181],"Problem":[35,182],"(CTP).":[36],"It":[37],"introduces":[38],"two":[39],"adaptive":[40],"algorithms,":[42],"Maximum":[43,48],"Likely":[44,49],"Node":[45],"(MLN)":[46],"Path":[50],"(MLP),":[51],"which":[52,98],"leverage":[53],"probabilistic":[54,137],"reasoning":[55],"consensus-based":[57],"rollout":[58,140],"sampling":[59],"to":[60,149,159],"guide":[61],"online":[62],"decision-making.":[63],"A":[64,95,129],"computational":[65],"study":[66],"comprising":[67],"30,000":[68],"instances":[69,213],"across":[70],"30":[71],"graphs":[72],"demonstrates":[73],"the":[74,77,92,103,115],"effectiveness":[75],"proposed":[78,104],"methods.":[79],"MLN":[80,124,189,201],"MLP":[82,191,203],"identify":[83],"21,784":[84,209],"20,882":[86,211],"best-known":[87,206],"solutions":[88,207],"(BKS),":[89],"respectively,":[90],"outperforming":[91],"benchmark":[93,117,157],"method":[94],"\u2217":[96,130],"-HOP,":[97],"finds":[99],"19,285":[100],"BKS.":[101],"Furthermore,":[102],"methods":[105],"generate":[106],"over":[107,128],"10,700":[108],"previously":[109],"unknown":[110],"high-quality":[111],"solutions,":[112],"significantly":[113],"expanding":[114],"available":[116],"set.":[118],"Pairwise":[119],"statistical":[120],"analysis":[121],"shows":[122],"that":[123,135],"achieves":[125],"significant":[126],"improvements":[127],"-HOP.":[131],"results":[133],"indicate":[134],"incorporating":[136],"consensus":[138,195],"from":[139],"policies":[141],"improves":[142],"robustness":[143],"stochastic":[145,164],"networks.":[146],"In":[147],"addition":[148],"algorithmic":[150],"contributions,":[151],"work":[153],"provides":[154],"comprehensive":[156],"dataset":[158],"support":[160],"future":[161],"research":[162],"disaster":[167,175],"response":[168],"optimization.":[169],"\u2022":[170,177,188,200],"Addressing":[171],"transportation":[172],"challenges":[173],"response.":[176],"Algorithms":[178],"solve":[179,197],"for":[183,208],"efficient":[184],"supply.":[187],"&":[190,202],"algorithms":[192,204],"based":[193],"on":[194],"function":[196],"CTP.":[199],"achieve":[205],"test":[212],"respectively.":[214]},"counts_by_year":[],"updated_date":"2026-04-27T06:02:13.124806","created_date":"2026-04-26T00:00:00"}