{"id":"https://openalex.org/W1988189387","doi":"https://doi.org/10.1145/1645373.1645374","title":"Shortest paths in time-dependent FIFO networks using edge load forecasts","display_name":"Shortest paths in time-dependent FIFO networks using edge load forecasts","publication_year":2009,"publication_date":"2009-11-03","ids":{"openalex":"https://openalex.org/W1988189387","doi":"https://doi.org/10.1145/1645373.1645374","mag":"1988189387"},"language":"en","primary_location":{"id":"doi:10.1145/1645373.1645374","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1645373.1645374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Workshop on Computational Transportation Science","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/A5113496226","display_name":"Frank Dehne","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Frank Dehne","raw_affiliation_strings":["Carleton University, Ottawa - Canada","Carleton University / Ottawa / Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University, Ottawa - Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Carleton University / Ottawa / Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074380618","display_name":"Masoud T. Omran","orcid":null},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Masoud T. Omran","raw_affiliation_strings":["Carleton University, Ottawa - Canada","Carleton University / Ottawa / Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University, Ottawa - Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Carleton University / Ottawa / Canada","institution_ids":["https://openalex.org/I67031392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085978384","display_name":"J\u00f6rg-R\u00fcdiger Sack","orcid":"https://orcid.org/0000-0001-5936-1319"},"institutions":[{"id":"https://openalex.org/I67031392","display_name":"Carleton University","ror":"https://ror.org/02qtvee93","country_code":"CA","type":"education","lineage":["https://openalex.org/I67031392"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"J\u00f6rg-R\u00fcdiger Sack","raw_affiliation_strings":["Carleton University, Ottawa - Canada","Carleton University / Ottawa / Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carleton University, Ottawa - Canada","institution_ids":["https://openalex.org/I67031392"]},{"raw_affiliation_string":"Carleton University / Ottawa / Canada","institution_ids":["https://openalex.org/I67031392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.507,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.94678108,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9993000030517578,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9984999895095825,"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/T11106","display_name":"Data Management and Algorithms","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.750217080116272},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6356629729270935},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.5372666120529175},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5316755175590515},{"id":"https://openalex.org/keywords/fifo","display_name":"FIFO (computing and electronics)","score":0.5309137105941772},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5293693542480469},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5227273106575012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5072571635246277},{"id":"https://openalex.org/keywords/arrival-time","display_name":"Arrival time","score":0.504501461982727},{"id":"https://openalex.org/keywords/binary-logarithm","display_name":"Binary logarithm","score":0.45294779539108276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4198913872241974},{"id":"https://openalex.org/keywords/fifo-and-lifo-accounting","display_name":"FIFO and LIFO accounting","score":0.41409528255462646},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.34078335762023926},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.331160306930542},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07747918367385864}],"concepts":[{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.750217080116272},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6356629729270935},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.5372666120529175},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5316755175590515},{"id":"https://openalex.org/C2777145635","wikidata":"https://www.wikidata.org/wiki/Q515636","display_name":"FIFO (computing and electronics)","level":2,"score":0.5309137105941772},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5293693542480469},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5227273106575012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5072571635246277},{"id":"https://openalex.org/C3017552255","wikidata":"https://www.wikidata.org/wiki/Q4135208","display_name":"Arrival time","level":2,"score":0.504501461982727},{"id":"https://openalex.org/C63553672","wikidata":"https://www.wikidata.org/wiki/Q581168","display_name":"Binary logarithm","level":2,"score":0.45294779539108276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4198913872241974},{"id":"https://openalex.org/C48721391","wikidata":"https://www.wikidata.org/wiki/Q1265942","display_name":"FIFO and LIFO accounting","level":3,"score":0.41409528255462646},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.34078335762023926},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.331160306930542},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07747918367385864},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1645373.1645374","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1645373.1645374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Workshop on Computational Transportation Science","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.183.7766","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.183.7766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.scs.carleton.ca/%7Edehne/publications/2-89.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1519514048","https://openalex.org/W1558701214","https://openalex.org/W1601277319","https://openalex.org/W1986652726","https://openalex.org/W2028747718","https://openalex.org/W2084224084","https://openalex.org/W2089338760","https://openalex.org/W2103158361","https://openalex.org/W2110861948","https://openalex.org/W2144844724","https://openalex.org/W2149742236","https://openalex.org/W2169528473","https://openalex.org/W2227557434","https://openalex.org/W2494779131","https://openalex.org/W2762935521","https://openalex.org/W3123283118","https://openalex.org/W4247080677"],"related_works":["https://openalex.org/W2168288612","https://openalex.org/W3145739807","https://openalex.org/W2058492552","https://openalex.org/W2485390638","https://openalex.org/W2626729922","https://openalex.org/W2020531283","https://openalex.org/W2322861814","https://openalex.org/W2945758745","https://openalex.org/W2015441043","https://openalex.org/W2148933941"],"abstract_inverted_index":{"We":[0],"study":[1],"the":[2,16,49,76,86,94,104,114,121,136,145,151,159,198,208,229,242,264,267,274],"problem":[3],"of":[4,18,80,98,139,172,184,207,221],"finding":[5],"shortest":[6,50],"paths":[7,51],"in":[8,64,113,158,177,214,256],"time-dependent":[9,25],"networks":[10],"with":[11,28],"edge":[12,20],"load":[13],"forecasts":[14],"where":[15,73,131,169,218,261],"behavior":[17],"each":[19],"is":[21,75,93,135,171,220,263],"modeled":[22],"as":[23],"a":[24,34,40],"arrival":[26,54,88,107,147,244,269],"function":[27,149],"FIFO":[29],"property.":[30],"Here,":[31],"we":[32,227],"present":[33,228],"new":[35],"algorithm":[36,62,125,191,254],"that":[37,165],"computes":[38],"for":[39,56,110,216,235,273],"given":[41],"start":[42,152],"node":[43,47,153,157],"s":[44,154],"and":[45,52,91,276],"destination":[46],"d,":[48],"earliest":[53,87,106,146,243,268,277],"times":[55,239,245,270,279],"all":[57,111,236],"possible":[58,237],"starting":[59,238,278],"times.":[60],"Our":[61,116,253],"runs":[63,255],"time":[65,89,108,128,148,195,257],"O((Fd":[66],"+":[67,69,259],"\u03bb)(|E|":[68],"|V|":[70],"log":[71],"|V|))":[72],"Fd":[74,134,180,219],"output":[77],"size":[78,96],"(number":[79,97],"linear":[81,99,140,185],"pieces":[82,100,141],"needed":[83,101,142],"to":[84,102,143,155,196,233],"represent":[85,103,144],"function)":[90],"\u03bb":[92],"input":[95],"local":[105],"functions":[109],"edges":[112],"network).":[115],"method":[117,232],"improves":[118],"significantly":[119],"on":[120],"best":[122],"previously":[123],"known":[124],"which":[126],"requires":[127],"O(Fmax":[129],"|V||E|)":[130],"Fmax":[132,170],"\u2265":[133],"maximum":[137],"number":[138],"between":[150,266],"any":[156],"network.":[160],"It":[161],"has":[162],"been":[163],"conjectured":[164],"there":[166],"are":[167,211],"cases":[168],"super-polynomial":[173,204,222],"size;":[174],"however,":[175],"even":[176],"such":[178,188,225],"cases,":[179,189],"might":[181],"still":[182],"be":[183],"size.":[186,223],"In":[187],"our":[190],"would":[192],"take":[193],"polynomial":[194],"find":[197],"solution,":[199],"while":[200],"other":[201],"methods":[202,210],"require":[203],"time.":[205],"Both":[206],"above":[209],"not":[212],"useful":[213],"practice":[215],"graphs":[217],"For":[224],"graphs,":[226],"first":[230],"approximation":[231],"compute":[234],"at":[240,246,250,271,280],"s,":[241],"d":[247,272],"within":[248],"error":[249],"most":[251],"\u03b5.":[252],"O(\u0394/\u03b5(|E|":[258],"|V|log|V|))":[260],"\u0394":[262],"difference":[265],"latest":[275],"s.":[281]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
