{"id":"https://openalex.org/W4413079145","doi":"https://doi.org/10.3390/systems13070600","title":"An Upper Partial Moment Framework for Pathfinding Problem Under Travel Time Uncertainty","display_name":"An Upper Partial Moment Framework for Pathfinding Problem Under Travel Time Uncertainty","publication_year":2025,"publication_date":"2025-07-17","ids":{"openalex":"https://openalex.org/W4413079145","doi":"https://doi.org/10.3390/systems13070600"},"language":"en","primary_location":{"id":"doi:10.3390/systems13070600","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems13070600","pdf_url":"https://www.mdpi.com/2079-8954/13/7/600/pdf?version=1753321096","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2079-8954/13/7/600/pdf?version=1753321096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101869306","display_name":"Xu Zhang","orcid":"https://orcid.org/0000-0003-3751-5529"},"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, 266 Raymond Bldg, Lexington, KY 40506-0281, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kentucky Transportation Center, University of Kentucky, 266 Raymond Bldg, Lexington, KY 40506-0281, 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, 267 Raymond Bldg, Lexington, KY 40506-0281, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, University of Kentucky, 267 Raymond Bldg, Lexington, KY 40506-0281, USA","institution_ids":["https://openalex.org/I143302722"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101869306"],"corresponding_institution_ids":["https://openalex.org/I143302722"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19277335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"7","first_page":"600","last_page":"600"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":1.0,"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":1.0,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9980999827384949,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5916720628738403},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.56816565990448},{"id":"https://openalex.org/keywords/pathfinding","display_name":"Pathfinding","score":0.5415154099464417},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.4920939803123474},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46626004576683044},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4573480784893036},{"id":"https://openalex.org/keywords/expected-utility-hypothesis","display_name":"Expected utility hypothesis","score":0.43638092279434204},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.41438499093055725},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.36390137672424316},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21449598670005798},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20131763815879822},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.16895389556884766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15227508544921875},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13294115662574768},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.11751091480255127},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11122855544090271}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5916720628738403},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.56816565990448},{"id":"https://openalex.org/C25321074","wikidata":"https://www.wikidata.org/wiki/Q1969601","display_name":"Pathfinding","level":4,"score":0.5415154099464417},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.4920939803123474},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46626004576683044},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4573480784893036},{"id":"https://openalex.org/C205706631","wikidata":"https://www.wikidata.org/wiki/Q2319304","display_name":"Expected utility hypothesis","level":2,"score":0.43638092279434204},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.41438499093055725},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.36390137672424316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21449598670005798},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20131763815879822},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.16895389556884766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15227508544921875},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13294115662574768},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.11751091480255127},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11122855544090271},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/systems13070600","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems13070600","pdf_url":"https://www.mdpi.com/2079-8954/13/7/600/pdf?version=1753321096","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4e01e606dd1f45ffb72d9dcb0451b558","is_oa":true,"landing_page_url":"https://doaj.org/article/4e01e606dd1f45ffb72d9dcb0451b558","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Systems, Vol 13, Iss 7, p 600 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/systems13070600","is_oa":true,"landing_page_url":"https://doi.org/10.3390/systems13070600","pdf_url":"https://www.mdpi.com/2079-8954/13/7/600/pdf?version=1753321096","source":{"id":"https://openalex.org/S4210219410","display_name":"Systems","issn_l":"2079-8954","issn":["2079-8954"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413079145.pdf","grobid_xml":"https://content.openalex.org/works/W4413079145.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1964160459","https://openalex.org/W1969261977","https://openalex.org/W1974399255","https://openalex.org/W1981763367","https://openalex.org/W1995928840","https://openalex.org/W1999094574","https://openalex.org/W2007204663","https://openalex.org/W2013684818","https://openalex.org/W2013734727","https://openalex.org/W2015730647","https://openalex.org/W2019086607","https://openalex.org/W2023616065","https://openalex.org/W2037631249","https://openalex.org/W2046236705","https://openalex.org/W2053276889","https://openalex.org/W2068689926","https://openalex.org/W2091253199","https://openalex.org/W2096545137","https://openalex.org/W2120370503","https://openalex.org/W2137111967","https://openalex.org/W2137185452","https://openalex.org/W2146853956","https://openalex.org/W2168482679","https://openalex.org/W2168677120","https://openalex.org/W2169869866","https://openalex.org/W2346490267","https://openalex.org/W2416696073","https://openalex.org/W2558902970","https://openalex.org/W2769172228","https://openalex.org/W2991769409","https://openalex.org/W3107704342","https://openalex.org/W3124277730","https://openalex.org/W3156721140","https://openalex.org/W4380149055","https://openalex.org/W4391654320","https://openalex.org/W4392708660","https://openalex.org/W4399745779","https://openalex.org/W4401535799","https://openalex.org/W4403946438","https://openalex.org/W4404502295","https://openalex.org/W4404748391","https://openalex.org/W4405234327","https://openalex.org/W6770697022","https://openalex.org/W6794206289"],"related_works":["https://openalex.org/W4285687848","https://openalex.org/W4289994039","https://openalex.org/W2240526870","https://openalex.org/W3100156731","https://openalex.org/W2623016776","https://openalex.org/W1967962134","https://openalex.org/W3128311703","https://openalex.org/W3101047024","https://openalex.org/W131718761","https://openalex.org/W2387449920"],"abstract_inverted_index":{"Route":[0],"planning":[1],"under":[2,212],"uncertain":[3],"traffic":[4],"conditions":[5],"requires":[6],"accounting":[7],"for":[8,30,125,218],"not":[9],"only":[10],"expected":[11,112],"travel":[12,35,43,97],"times":[13],"but":[14,177],"also":[15],"the":[16,47,54,66,105,111,126,131,188,193],"risk":[17,63,71],"of":[18,58,195],"late":[19,83],"arrivals.":[20],"This":[21],"study":[22],"proposes":[23],"a":[24,41,62,122,140,202],"mean-upper":[25],"partial":[26,49],"moment":[27,50],"(MUPM)":[28],"framework":[29,39,107,200],"pathfinding":[31,211],"that":[32,104,161],"explicitly":[33],"considers":[34],"time":[36,44,98],"unreliability.":[37],"The":[38,198],"incorporates":[40],"benchmark":[42],"to":[45,93,143,166,210],"measure":[46],"upper":[48],"(UPM),":[51],"capturing":[52],"both":[53],"probability":[55],"and":[56,73,86,99,116,206,226],"severity":[57],"delays.":[59],"By":[60],"adjusting":[61],"parameter":[64],"(\u03b8),":[65],"model":[67,90],"reflects":[68],"different":[69,167],"traveler":[70,221],"preferences":[72],"unifies":[74],"several":[75],"existing":[76],"reliability":[77],"measures,":[78],"including":[79],"on-time":[80],"arrival":[81,84],"probability,":[82],"penalty,":[85],"semi-variance.":[87],"A":[88],"bi-objective":[89],"is":[91,108,137],"formulated":[92],"simultaneously":[94],"minimize":[95],"mean":[96],"UPM.":[100],"Theoretical":[101],"analysis":[102],"shows":[103],"MUPM":[106,199],"consistent":[109],"with":[110,139,192],"utility":[113],"theory":[114,119],"(EUT)":[115],"stochastic":[117],"dominance":[118],"(SDT),":[120],"providing":[121],"behavioral":[123],"foundation":[124],"model.":[127],"To":[128],"efficiently":[129],"solve":[130],"model,":[132],"an":[133],"SDT-based":[134],"label-correcting":[135],"algorithm":[136],"adapted,":[138],"pre-screening":[141],"step":[142],"reduce":[144],"unnecessary":[145],"pairwise":[146],"path":[147],"comparisons.":[148],"Numerical":[149],"experiments":[150],"using":[151],"GPS":[152],"probe":[153],"vehicle":[154],"data":[155],"from":[156],"Louisville,":[157],"Kentucky,":[158],"USA,":[159],"demonstrate":[160],"varying":[162],"\u03b8":[163,171,184],"values":[164,172,185],"lead":[165],"non-dominated":[168],"paths.":[169],"Lower":[170],"emphasize":[173],"frequent":[174],"small":[175],"delays":[176],"may":[178],"overlook":[179],"excessive":[180],"delays,":[181],"while":[182],"higher":[183],"effectively":[186],"capture":[187],"tail":[189],"risk,":[190],"aligning":[191],"behavior":[194],"risk-averse":[196],"travelers.":[197],"provides":[201],"flexible,":[203],"behaviorally":[204],"grounded,":[205],"computationally":[207],"scalable":[208],"approach":[209],"uncertainty.":[213],"It":[214],"holds":[215],"strong":[216],"potential":[217],"applications":[219],"in":[220],"information":[222],"systems,":[223],"transportation":[224],"planning,":[225],"network":[227],"resilience":[228],"analysis.":[229]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}