{"id":"https://openalex.org/W4403920079","doi":"https://doi.org/10.1109/sm63044.2024.10733522","title":"Advancing Travel Time Prediction in Intelligent Transportation Systems Through Leaning-Based Uncertainty Quantification","display_name":"Advancing Travel Time Prediction in Intelligent Transportation Systems Through Leaning-Based Uncertainty Quantification","publication_year":2024,"publication_date":"2024-09-16","ids":{"openalex":"https://openalex.org/W4403920079","doi":"https://doi.org/10.1109/sm63044.2024.10733522"},"language":"en","primary_location":{"id":"doi:10.1109/sm63044.2024.10733522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sm63044.2024.10733522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Smart Mobility (SM)","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/A5004736261","display_name":"Siyavash Filom","orcid":"https://orcid.org/0000-0002-1420-2338"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Siyavash Filom","raw_affiliation_strings":["McMaster University,Civil Engineering,Hamilton,Canada"],"affiliations":[{"raw_affiliation_string":"McMaster University,Civil Engineering,Hamilton,Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031121913","display_name":"Saiedeh Razavi","orcid":"https://orcid.org/0000-0002-5971-3609"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Saiedeh Razavi","raw_affiliation_strings":["McMaster University,Civil Engineering,Hamilton,Canada"],"affiliations":[{"raw_affiliation_string":"McMaster University,Civil Engineering,Hamilton,Canada","institution_ids":["https://openalex.org/I98251732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004736261"],"corresponding_institution_ids":["https://openalex.org/I98251732"],"apc_list":null,"apc_paid":null,"fwci":0.5564,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66907351,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"165","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9559999704360962,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9521999955177307,"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":0.6146899461746216},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5894680619239807},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.5210356712341309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3430324196815491},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2770198881626129},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20364922285079956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6146899461746216},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5894680619239807},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.5210356712341309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3430324196815491},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2770198881626129},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20364922285079956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sm63044.2024.10733522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sm63044.2024.10733522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Smart Mobility (SM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W635026082","https://openalex.org/W793439335","https://openalex.org/W1989491491","https://openalex.org/W2007094301","https://openalex.org/W2027392238","https://openalex.org/W2086482048","https://openalex.org/W2132397241","https://openalex.org/W2190353863","https://openalex.org/W2554622708","https://openalex.org/W2583437448","https://openalex.org/W2949255872","https://openalex.org/W3102100346"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Accurate":[0],"travel":[1,34],"time":[2,35],"prediction":[3,36,62],"is":[4,99],"essential":[5],"for":[6,15,67,102],"road":[7],"users,":[8],"logistic":[9],"operators,":[10],"and":[11,21,27,46,65,71,83,114,123,128],"public":[12],"transportation":[13,140],"planners":[14],"efficient":[16],"route":[17],"planning,":[18],"fleet":[19],"management,":[20],"timely":[22],"arrival":[23],"estimation":[24],"of":[25,138],"goods":[26],"passengers.":[28],"This":[29,117],"paper":[30],"aims":[31],"to":[32,59,111],"advance":[33],"by":[37],"quantifying":[38],"uncertainties":[39],"arising":[40],"from":[41],"traffic":[42,73],"demand,":[43],"weather":[44],"conditions,":[45],"incidents.":[47],"The":[48,75],"study":[49],"uses":[50],"a":[51],"Bayesian":[52],"Neural":[53],"Network":[54],"with":[55],"Monte":[56],"Carlo":[57],"dropout":[58,80],"enhance":[60],"the":[61,79,87,93,136],"accuracy,":[63],"robustness,":[64],"reliability":[66],"applications":[68],"in":[69,96,135],"dynamic":[70],"complex":[72],"conditions.":[74],"results":[76],"show":[77],"that":[78],"probability":[81],"rate":[82],"activation":[84],"functions":[85],"are":[86],"two":[88],"most":[89],"important":[90,101],"factors":[91],"affecting":[92],"model\u2019s":[94],"performance":[95],"uncertainty":[97,108],"quantification":[98,109],"particularly":[100],"our":[103],"downstream":[104],"decision-making":[105],"process.":[106],"Additionally,":[107],"leads":[110],"more":[112],"explainable":[113],"actionable":[115],"decisions.":[116],"approach":[118],"can":[119],"improve":[120],"operational":[121],"planning":[122],"ensure":[124],"better":[125],"service":[126],"delivery":[127],"user":[129],"satisfaction,":[130],"highlighting":[131],"its":[132],"critical":[133],"role":[134],"advancement":[137],"intelligent":[139],"systems.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}