{"id":"https://openalex.org/W3115144416","doi":"https://doi.org/10.1109/itsc45102.2020.9294650","title":"Reliable Least-Time Path Estimation and Computation in Stochastic Time-Varying Networks with Spatio-Temporal Dependencies","display_name":"Reliable Least-Time Path Estimation and Computation in Stochastic Time-Varying Networks with Spatio-Temporal Dependencies","publication_year":2020,"publication_date":"2020-09-20","ids":{"openalex":"https://openalex.org/W3115144416","doi":"https://doi.org/10.1109/itsc45102.2020.9294650","mag":"3115144416"},"language":"en","primary_location":{"id":"doi:10.1109/itsc45102.2020.9294650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc45102.2020.9294650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 23rd International 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/A5073240364","display_name":"Monika Filipovska","orcid":"https://orcid.org/0000-0002-2718-4722"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Monika Filipovska","raw_affiliation_strings":["Transportation Center, Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Transportation Center, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026147899","display_name":"Hani S. Mahmassani","orcid":"https://orcid.org/0000-0002-8443-8928"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hani S. Mahmassani","raw_affiliation_strings":["Transportation Center, Northwestern University, Evanston, IL, USA"],"affiliations":[{"raw_affiliation_string":"Transportation Center, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073240364"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":1.2816,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84246324,"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":"1","last_page":"6"},"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":0.9990000128746033,"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":0.9987000226974487,"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/computation","display_name":"Computation","score":0.7038576602935791},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6814457178115845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6734498739242554},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6580297946929932},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.5416328310966492},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.535961389541626},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5250049829483032},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5153548121452332},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46870559453964233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2063012719154358},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14175793528556824}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7038576602935791},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6814457178115845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6734498739242554},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6580297946929932},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.5416328310966492},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.535961389541626},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5250049829483032},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5153548121452332},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46870559453964233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2063012719154358},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14175793528556824},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc45102.2020.9294650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc45102.2020.9294650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309475","display_name":"Northwestern University","ror":"https://ror.org/000e0be47"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W27436463","https://openalex.org/W1573052360","https://openalex.org/W1614724277","https://openalex.org/W1634255221","https://openalex.org/W1969261977","https://openalex.org/W1972886737","https://openalex.org/W1976699101","https://openalex.org/W1981763367","https://openalex.org/W1988500440","https://openalex.org/W1994015283","https://openalex.org/W2007204663","https://openalex.org/W2007659532","https://openalex.org/W2016049811","https://openalex.org/W2019870562","https://openalex.org/W2023616065","https://openalex.org/W2036786680","https://openalex.org/W2036868106","https://openalex.org/W2046236705","https://openalex.org/W2048608180","https://openalex.org/W2062568266","https://openalex.org/W2092499098","https://openalex.org/W2114251562","https://openalex.org/W2115868680","https://openalex.org/W2119702428","https://openalex.org/W2130306081","https://openalex.org/W2135410644","https://openalex.org/W2145927364","https://openalex.org/W2296978901","https://openalex.org/W2556487516","https://openalex.org/W3127121386","https://openalex.org/W6636591588"],"related_works":["https://openalex.org/W2046435967","https://openalex.org/W4231775656","https://openalex.org/W2770593030","https://openalex.org/W2393870460","https://openalex.org/W3154990682","https://openalex.org/W2183638083","https://openalex.org/W2119138398","https://openalex.org/W2598979711","https://openalex.org/W2037384153","https://openalex.org/W2306351532"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,28,72,90,130,139,142,145,156],"problem":[4],"of":[5,9,60,74,89,141,147,155],"estimation":[6,109],"and":[7,144,153,169],"computation":[8],"reliable":[10],"least-time":[11,29,51],"paths":[12,30],"in":[13],"stochastic":[14],"time-varying":[15],"(STV)":[16],"networks":[17],"with":[18,110,122],"spatio-temporal":[19],"dependencies.":[20],"For":[21],"a":[22,35,44,99,105,162],"given":[23,36],"desired":[24,45],"confidence":[25],"level":[26],"\u03b1,":[27],"from":[31],"any":[32],"origin":[33],"to":[34,40,56,62,69,136,161],"destination":[37],"node":[38],"are":[39,134],"be":[41,115],"found":[42],"over":[43],"planning":[46],"horizon.":[47],"In":[48],"STV":[49],"networks,":[50],"path":[52,106],"finding":[53],"approaches":[54],"aim":[55],"incorporate":[57],"an":[58,118],"element":[59],"reliability":[61],"help":[63],"travelers":[64],"better":[65],"plan":[66],"their":[67],"trips":[68],"prepare":[70],"for":[71,79,104,138],"risk":[73],"arriving":[75],"later":[76],"or":[77],"traveling":[78],"longer":[80],"than":[81],"desired.":[82],"A":[83],"label-correcting":[84],"algorithm":[85,97],"that":[86],"incorporates":[87,98],"time-dependence":[88],"travel":[91,107],"time":[92,108],"distributions":[93],"is":[94,167],"proposed.":[95],"The":[96,149],"Monte":[100,163],"Carlo":[101,164],"sampling":[102],"approach":[103,166],"time-dependence,":[111],"which":[112],"can":[113],"also":[114],"used":[116],"as":[117],"approximate":[119,157],"solution":[120,158],"method":[121,159],"spatial":[123],"link":[124],"travel-time":[125],"correlations.":[126],"Numerical":[127],"results":[128],"on":[129],"large-scale":[131],"Chicago":[132],"network":[133],"provided":[135],"test":[137],"performance":[140],"algorithms":[143],"robustness":[146],"solutions.":[148],"trade-off":[150],"between":[151],"accuracy":[152],"efficiency":[154],"compared":[160],"simulation-based":[165],"discussed":[168],"evaluated.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}