{"id":"https://openalex.org/W2054737302","doi":"https://doi.org/10.1109/itsc.2011.6082871","title":"Variable time discretization for a time-dependent shortest path algorithm","display_name":"Variable time discretization for a time-dependent shortest path algorithm","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2054737302","doi":"https://doi.org/10.1109/itsc.2011.6082871","mag":"2054737302"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2011.6082871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2011.6082871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","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/A5000881841","display_name":"Ye Tian","orcid":"https://orcid.org/0000-0002-2225-7566"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ye Tian","raw_affiliation_strings":["University of Arizona, Tucson, AZ, USA","University of Arizona, Tucson, AZ 85721. USA"],"affiliations":[{"raw_affiliation_string":"University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"University of Arizona, Tucson, AZ 85721. USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103750432","display_name":"Yi\u2010Chang Chiu","orcid":null},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi-Chang Chiu","raw_affiliation_strings":["University of Arizona, Tucson, AZ, USA","University of Arizona, Tucson, AZ 85721. USA"],"affiliations":[{"raw_affiliation_string":"University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]},{"raw_affiliation_string":"University of Arizona, Tucson, AZ 85721. USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038207720","display_name":"Yang Gao","orcid":"https://orcid.org/0000-0002-2150-5986"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Gao","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA","Cornell University, Ithaca, NY, USA, 14853"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA, 14853","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000881841"],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":null,"apc_paid":null,"fwci":0.5934,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79979109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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/T10524","display_name":"Traffic control and management","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/discretization","display_name":"Discretization","score":0.9001375436782837},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.6760735511779785},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6013306379318237},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.5622187256813049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5612150430679321},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.47940441966056824},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4290943145751953},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.4272286891937256},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38019269704818726},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36629951000213623},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23536095023155212},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08513125777244568}],"concepts":[{"id":"https://openalex.org/C73000952","wikidata":"https://www.wikidata.org/wiki/Q17007827","display_name":"Discretization","level":2,"score":0.9001375436782837},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.6760735511779785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6013306379318237},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.5622187256813049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5612150430679321},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.47940441966056824},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4290943145751953},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.4272286891937256},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38019269704818726},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36629951000213623},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23536095023155212},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08513125777244568},{"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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2011.6082871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2011.6082871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W204348808","https://openalex.org/W1969483458","https://openalex.org/W1985327268","https://openalex.org/W1986652726","https://openalex.org/W2041942953","https://openalex.org/W2085152474","https://openalex.org/W2114251562","https://openalex.org/W2123988414","https://openalex.org/W2144050074","https://openalex.org/W2169528473","https://openalex.org/W2227557434","https://openalex.org/W2319958627","https://openalex.org/W2623293810"],"related_works":["https://openalex.org/W2006251942","https://openalex.org/W2364741597","https://openalex.org/W1492103595","https://openalex.org/W1864774435","https://openalex.org/W946352265","https://openalex.org/W3020787026","https://openalex.org/W2334479858","https://openalex.org/W2793786119","https://openalex.org/W1507702947","https://openalex.org/W2022062253"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,9,37,64,79,83,90,118,122],"variable":[4,141],"time":[5,92,142,153],"discretization":[6,93,143],"strategy":[7,19,47,104,144],"for":[8,28,69],"time-dependent":[10,29,109],"A":[11,110],"<sup":[12,111],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[13,112],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u2217</sup>":[14,113],"shortest":[15],"path":[16],"algorithm.":[17],"The":[18,45,72,102,127],"is":[20,48,105],"aimed":[21],"at":[22],"determining":[23],"the":[24,51,55,59,108,132,139],"optimal":[25],"memory":[26,43,137],"allocation":[27],"travel":[30,56,75,100],"times":[31,76],"data":[32],"in":[33,99,107],"order":[34],"to":[35,88,96],"achieve":[36],"desirable":[38],"compromise":[39],"between":[40],"accuracy":[41,148],"and":[42,82,115],"usage.":[44],"proposed":[46,103,140],"based":[49],"on":[50,121],"dispersion":[52],"index":[53],"of":[54,135,151],"times/costs":[57],"over":[58],"entire":[60],"analysis":[61],"period,":[62],"as":[63],"result,":[65],"producing":[66],"different":[67],"intervals":[68],"each":[70],"link.":[71],"links":[73],"with":[74,117,131],"that":[77,130,150],"have":[78,89],"higher":[80,147],"variance":[81],"lower":[84],"mean":[85],"will":[86],"need":[87],"shorter":[91],"length":[94],"due":[95],"greater":[97],"fluctuation":[98],"times.":[101],"implemented":[106],"algorithm":[114],"tested":[116],"numerical":[119],"experiment":[120],"Tucson,":[123],"AZ,":[124],"traffic":[125],"network.":[126],"results":[128],"show":[129],"same":[133],"amount":[134],"computer":[136],"usage,":[138],"achieves":[145],"much":[146],"than":[149],"uniform":[152],"discretization.":[154]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}