{"id":"https://openalex.org/W2769172228","doi":"https://doi.org/10.1080/15472450.2017.1407652","title":"Bi-objective routing problem with asymmetrical travel time distributions","display_name":"Bi-objective routing problem with asymmetrical travel time distributions","publication_year":2017,"publication_date":"2017-11-27","ids":{"openalex":"https://openalex.org/W2769172228","doi":"https://doi.org/10.1080/15472450.2017.1407652","mag":"2769172228"},"language":"en","primary_location":{"id":"doi:10.1080/15472450.2017.1407652","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2017.1407652","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of 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/A5100437160","display_name":"Xu Zhang","orcid":"https://orcid.org/0000-0001-6557-6607"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["Kentucky Transportation Center, University of Kentucky, Lexington, KY, USA"],"affiliations":[{"raw_affiliation_string":"Kentucky Transportation Center, University of Kentucky, Lexington, KY, USA","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071908018","display_name":"Mei Chen","orcid":"https://orcid.org/0000-0002-7737-2895"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mei Chen","raw_affiliation_strings":["Department of Civil Engineering, University of Kentucky, Lexington, KY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, University of Kentucky, Lexington, KY, USA","institution_ids":["https://openalex.org/I143302722"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100437160"],"corresponding_institution_ids":["https://openalex.org/I143302722"],"apc_list":null,"apc_paid":null,"fwci":0.9032,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80220959,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"22","issue":"2","first_page":"87","last_page":"98"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9987000226974487,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/routing","display_name":"Routing (electronic design automation)","score":0.5910002589225769},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.5375762581825256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5310240983963013},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.5213260054588318},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.45589661598205566},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35975462198257446},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.35348400473594666},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.28790876269340515},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24067020416259766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1763727068901062}],"concepts":[{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5910002589225769},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.5375762581825256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5310240983963013},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.5213260054588318},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.45589661598205566},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35975462198257446},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.35348400473594666},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.28790876269340515},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24067020416259766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1763727068901062}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/15472450.2017.1407652","is_oa":false,"landing_page_url":"https://doi.org/10.1080/15472450.2017.1407652","pdf_url":null,"source":{"id":"https://openalex.org/S172631016","display_name":"Journal of Intelligent Transportation Systems","issn_l":"1547-2442","issn":["1547-2442","1547-2450"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1585939719","https://openalex.org/W1588375755","https://openalex.org/W1957430778","https://openalex.org/W1964068448","https://openalex.org/W2007435582","https://openalex.org/W2013684818","https://openalex.org/W2023616065","https://openalex.org/W2025293314","https://openalex.org/W2028953698","https://openalex.org/W2031232041","https://openalex.org/W2036786680","https://openalex.org/W2043776993","https://openalex.org/W2046236705","https://openalex.org/W2046491030","https://openalex.org/W2049345634","https://openalex.org/W2052312410","https://openalex.org/W2057983864","https://openalex.org/W2066370682","https://openalex.org/W2070317330","https://openalex.org/W2074207828","https://openalex.org/W2074675836","https://openalex.org/W2079247910","https://openalex.org/W2080930076","https://openalex.org/W2088336910","https://openalex.org/W2090797242","https://openalex.org/W2091253199","https://openalex.org/W2106334424","https://openalex.org/W2116661285","https://openalex.org/W2116872250","https://openalex.org/W2117444972","https://openalex.org/W2120370503","https://openalex.org/W2126105956","https://openalex.org/W2131077880","https://openalex.org/W2137185452","https://openalex.org/W2143381319","https://openalex.org/W2146853956","https://openalex.org/W2151554678","https://openalex.org/W2168482679","https://openalex.org/W2168677120","https://openalex.org/W2179099030","https://openalex.org/W2346490267","https://openalex.org/W2526909673","https://openalex.org/W2612834389","https://openalex.org/W2615600520","https://openalex.org/W3121613020","https://openalex.org/W3124277730","https://openalex.org/W3124500318"],"related_works":["https://openalex.org/W2018691209","https://openalex.org/W4312143452","https://openalex.org/W4247364272","https://openalex.org/W3133151256","https://openalex.org/W2132920749","https://openalex.org/W2101108574","https://openalex.org/W2157331354","https://openalex.org/W1966197055","https://openalex.org/W1525941177","https://openalex.org/W4389662547"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"have":[2,98],"confirmed":[3],"that":[4,30],"travelers":[5],"consider":[6],"travel":[7,14,37,40,60,95,138,162],"time":[8,15,38,41,61,96,139,163],"reliability":[9,51],"in":[10,105],"addition":[11],"to":[12,32,72,116,134,143,155],"average":[13,36],"when":[16],"making":[17],"route":[18],"choice":[19],"decisions.":[20],"In":[21],"this":[22],"study,":[23],"we":[24],"develop":[25],"a":[26,88],"bi-objective":[27,74,122],"routing":[28,123],"model":[29,75,124,131],"seeks":[31],"simultaneously":[33],"optimize":[34],"the":[35,50,64,73,103,106,117,121,135],"and":[39,114,141],"reliability.":[42,164],"The":[43,69,129],"semi-standard":[44],"deviation":[45],"(SSD)":[46],"is":[47,132],"chosen":[48],"as":[49,109],"measure":[52],"because":[53],"it":[54],"reflects":[55],"travelers'":[56],"concerns":[57],"over":[58],"longer":[59],"better":[62],"than":[63],"commonly":[65],"used":[66],"standard":[67],"deviation.":[68],"Pareto-optimal":[70],"solutions":[71],"are":[76],"found":[77],"by":[78],"using":[79],"an":[80],"improved":[81],"strength":[82],"Pareto":[83],"evolutionary":[84],"algorithm.":[85],"Tests":[86],"on":[87,161],"real-world":[89],"urban":[90],"network":[91],"with":[92,146],"field":[93],"measured":[94],"data":[97],"demonstrated":[99],"good":[100],"performance":[101],"of":[102,137],"algorithm":[104],"aspects,":[107],"such":[108],"computational":[110],"efficiency,":[111],"quick":[112],"convergence,":[113],"closeness":[115],"global":[118],"Pareto-optimal.":[119],"Overall,":[120],"generates":[125],"reasonable":[126],"path":[127],"recommendations.":[128],"SSD-based":[130],"sensitive":[133],"asymmetry":[136],"distribution":[140],"tends":[142],"avoid":[144],"paths":[145],"excessively":[147],"long":[148],"delays.":[149],"This":[150],"would":[151],"be":[152],"particularly":[153],"helpful":[154],"those":[156],"users":[157],"placing":[158],"high":[159],"values":[160]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}