{"id":"https://openalex.org/W4308086976","doi":"https://doi.org/10.1109/isc255366.2022.9922070","title":"Post-Disaster Repair Crew Assignment Optimization Using Minimum Latency","display_name":"Post-Disaster Repair Crew Assignment Optimization Using Minimum Latency","publication_year":2022,"publication_date":"2022-09-26","ids":{"openalex":"https://openalex.org/W4308086976","doi":"https://doi.org/10.1109/isc255366.2022.9922070"},"language":"en","primary_location":{"id":"doi:10.1109/isc255366.2022.9922070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc255366.2022.9922070","pdf_url":null,"source":{"id":"https://openalex.org/S4363608314","display_name":"2022 IEEE International Smart Cities Conference (ISC2)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Smart Cities Conference (ISC2)","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/A5020276578","display_name":"Anakin Dey","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anakin Dey","raw_affiliation_strings":["University of Illinois Urbana-Champaign,Urbana,USA","University of Illinois Urbana-Champaign, Urbana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign,Urbana,USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070897457","display_name":"Melkior Ornik","orcid":"https://orcid.org/0000-0002-8510-8787"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melkior Ornik","raw_affiliation_strings":["University of Illinois Urbana-Champaign,Urbana,USA","University of Illinois Urbana-Champaign, Urbana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois Urbana-Champaign,Urbana,USA","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois Urbana-Champaign, Urbana, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27689873,"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":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9943000078201294,"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":0.9943000078201294,"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/T12306","display_name":"Urban and Freight Transport Logistics","score":0.9817000031471252,"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/T11502","display_name":"Facility Location and Emergency Management","score":0.9758999943733215,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7572362422943115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7165586352348328},{"id":"https://openalex.org/keywords/assignment-problem","display_name":"Assignment problem","score":0.601512610912323},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5999674797058105},{"id":"https://openalex.org/keywords/crew","display_name":"Crew","score":0.5529400110244751},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5155056118965149},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.44097113609313965},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4172251224517822},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.34136825799942017},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.33816057443618774},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20800340175628662},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1561296284198761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1037244200706482}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7572362422943115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7165586352348328},{"id":"https://openalex.org/C85044808","wikidata":"https://www.wikidata.org/wiki/Q620614","display_name":"Assignment problem","level":2,"score":0.601512610912323},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5999674797058105},{"id":"https://openalex.org/C2780179797","wikidata":"https://www.wikidata.org/wiki/Q345844","display_name":"Crew","level":2,"score":0.5529400110244751},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5155056118965149},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.44097113609313965},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4172251224517822},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.34136825799942017},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.33816057443618774},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20800340175628662},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1561296284198761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1037244200706482},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C178802073","wikidata":"https://www.wikidata.org/wiki/Q8421","display_name":"Aeronautics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isc255366.2022.9922070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isc255366.2022.9922070","pdf_url":null,"source":{"id":"https://openalex.org/S4363608314","display_name":"2022 IEEE International Smart Cities Conference (ISC2)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Smart Cities Conference (ISC2)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1230495041","https://openalex.org/W2981238890","https://openalex.org/W2130466874","https://openalex.org/W3201287350","https://openalex.org/W3204452099","https://openalex.org/W258179848","https://openalex.org/W2395067109","https://openalex.org/W1784025083","https://openalex.org/W2885490362","https://openalex.org/W647291347"],"abstract_inverted_index":{"Across":[0],"infrastructure":[1],"domains,":[2],"physical":[3],"damage":[4],"caused":[5],"by":[6],"storms":[7],"and":[8,15,141],"other":[9],"weather":[10],"events":[11],"often":[12],"requires":[13],"costly":[14],"time-sensitive":[16],"repairs":[17],"to":[18,32,46,59],"restore":[19],"services":[20],"as":[21,23,73,79,131,133],"quickly":[22],"possible.":[24],"While":[25],"recent":[26],"studies":[27],"have":[28],"used":[29],"agent-based":[30,67],"models":[31],"estimate":[33],"the":[34,38,80,96,102,111,117],"cost":[35],"of":[36,43,98,113],"repairs,":[37],"implemented":[39],"strategies":[40],"for":[41,85],"assignment":[42,97],"repair":[44,87,114],"crews":[45,103],"different":[47,106],"locations":[48,115],"are":[49],"generally":[50],"human-driven":[51],"or":[52,116],"based":[53],"on":[54,126],"simple":[55],"rules.":[56],"In":[57],"order":[58],"find":[60],"performant":[61],"strategies,":[62],"we":[63],"continue":[64],"with":[65],"an":[66],"model,":[68],"but":[69],"approach":[70],"this":[71],"problem":[72,77],"a":[74,91,137],"combinational":[75],"optimization":[76],"known":[78],"Minimum":[81],"Weighted":[82],"Latency":[83],"Problem":[84],"multiple":[86],"crews.":[88],"We":[89,122],"apply":[90],"partitioning":[92],"algorithm":[93,125,145],"that":[94,108,143],"balances":[95],"targets":[99],"amongst":[100],"all":[101],"using":[104],"two":[105],"heuristics":[107],"optimize":[109],"either":[110],"importance":[112],"travel":[118],"time":[119],"between":[120],"them.":[121],"benchmark":[123],"our":[124,144],"both":[127],"randomly":[128],"generated":[129],"graphs":[130],"well":[132],"data":[134],"derived":[135],"from":[136],"real-world":[138],"urban":[139],"environment,":[140],"show":[142],"delivers":[146],"significantly":[147],"better":[148],"assignments":[149],"than":[150],"existing":[151],"methods.":[152]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}