{"id":"https://openalex.org/W3185522452","doi":"https://doi.org/10.1109/access.2021.3100261","title":"Online Bus Speed Prediction With Spatiotemporal Interaction: A Laplace Approximation-Based Bayesian Approach","display_name":"Online Bus Speed Prediction With Spatiotemporal Interaction: A Laplace Approximation-Based Bayesian Approach","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3185522452","doi":"https://doi.org/10.1109/access.2021.3100261","mag":"3185522452"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3100261","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3100261","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09496672.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09496672.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052883052","display_name":"Haipeng Cui","orcid":"https://orcid.org/0000-0003-4405-6658"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Haipeng Cui","raw_affiliation_strings":["Department of Civil and Environmental Engineering, National University of Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-4405-6658","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051933409","display_name":"Kun Xie","orcid":"https://orcid.org/0000-0002-8191-2786"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kun Xie","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Old Dominion University, Norfolk, VA, USA"],"raw_orcid":"https://orcid.org/0000-0002-8191-2786","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Old Dominion University, Norfolk, VA, USA","institution_ids":["https://openalex.org/I81365321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028352417","display_name":"Bin Hu","orcid":"https://orcid.org/0000-0003-3286-4607"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bin Hu","raw_affiliation_strings":["Shenzhen Transport Information & Technology Company Ltd., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Transport Information & Technology Company Ltd., Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102212674","display_name":"Hangfei Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hangfei Lin","raw_affiliation_strings":["The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10090827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"9","issue":null,"first_page":"105205","last_page":"105219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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"}},"topics":[{"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9998000264167786,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9970999956130981,"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":0.7820972204208374},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7776423692703247},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6085817813873291},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5339644551277161},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45335543155670166},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4406871497631073},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4386426508426666},{"id":"https://openalex.org/keywords/laplaces-method","display_name":"Laplace's method","score":0.4147474467754364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39707210659980774},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2409636378288269},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10563206672668457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7820972204208374},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7776423692703247},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6085817813873291},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5339644551277161},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45335543155670166},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4406871497631073},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4386426508426666},{"id":"https://openalex.org/C22243797","wikidata":"https://www.wikidata.org/wiki/Q2058297","display_name":"Laplace's method","level":3,"score":0.4147474467754364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39707210659980774},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2409636378288269},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10563206672668457}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2021.3100261","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3100261","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09496672.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:digitalcommons.odu.edu:cee_fac_pubs-1044","is_oa":true,"landing_page_url":"https://digitalcommons.odu.edu/cee_fac_pubs/43","pdf_url":"https://digitalcommons.odu.edu/cee_fac_pubs/43","source":{"id":"https://openalex.org/S4377196314","display_name":"ODU Digital Commons (Old Dominion University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I81365321","host_organization_name":"Old Dominion University","host_organization_lineage":["https://openalex.org/I81365321"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Civil &amp; Environmental Engineering Faculty Publications","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:a4726ed52f8947c084b790f96916a5dc","is_oa":true,"landing_page_url":"https://doaj.org/article/a4726ed52f8947c084b790f96916a5dc","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":"IEEE Access, Vol 9, Pp 105205-105219 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3100261","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3100261","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09496672.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2752542371","display_name":null,"funder_award_id":"51238008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3185522452.pdf","grobid_xml":"https://content.openalex.org/works/W3185522452.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W588132920","https://openalex.org/W651652324","https://openalex.org/W1584250724","https://openalex.org/W1929396203","https://openalex.org/W1967444754","https://openalex.org/W1970413254","https://openalex.org/W2001839264","https://openalex.org/W2002869784","https://openalex.org/W2004014822","https://openalex.org/W2023402893","https://openalex.org/W2026524503","https://openalex.org/W2039559615","https://openalex.org/W2040849593","https://openalex.org/W2042037844","https://openalex.org/W2076447696","https://openalex.org/W2078967772","https://openalex.org/W2082280406","https://openalex.org/W2092990185","https://openalex.org/W2106220766","https://openalex.org/W2114220616","https://openalex.org/W2121336049","https://openalex.org/W2130416410","https://openalex.org/W2138309709","https://openalex.org/W2139277738","https://openalex.org/W2142635246","https://openalex.org/W2144898279","https://openalex.org/W2145366695","https://openalex.org/W2165936664","https://openalex.org/W2167731203","https://openalex.org/W2303824844","https://openalex.org/W2412483528","https://openalex.org/W2560171794","https://openalex.org/W2579495707","https://openalex.org/W2585074950","https://openalex.org/W2681230377","https://openalex.org/W2765137096","https://openalex.org/W2778571179","https://openalex.org/W2784128073","https://openalex.org/W2789406905","https://openalex.org/W2792974760","https://openalex.org/W2793547515","https://openalex.org/W2805089611","https://openalex.org/W2887646164","https://openalex.org/W2891869937","https://openalex.org/W2898982596","https://openalex.org/W2899220442","https://openalex.org/W2899443545","https://openalex.org/W2901658644","https://openalex.org/W2910115723","https://openalex.org/W2912017789","https://openalex.org/W2912657394","https://openalex.org/W2914182690","https://openalex.org/W2922146383","https://openalex.org/W2922426219","https://openalex.org/W2943963274","https://openalex.org/W2945970499","https://openalex.org/W2951927893","https://openalex.org/W2969040309","https://openalex.org/W2974087501","https://openalex.org/W2979001013","https://openalex.org/W2982601027","https://openalex.org/W2984350486","https://openalex.org/W2989701564","https://openalex.org/W2998374233","https://openalex.org/W2999671581","https://openalex.org/W3006854884","https://openalex.org/W3022367555","https://openalex.org/W3035528460","https://openalex.org/W3037793483","https://openalex.org/W3042918615","https://openalex.org/W3046850392","https://openalex.org/W3150584212","https://openalex.org/W4255113605","https://openalex.org/W6650824009","https://openalex.org/W6680518056"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4394010018","https://openalex.org/W4310826001","https://openalex.org/W4399982477","https://openalex.org/W2086883878","https://openalex.org/W4386236780"],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"a":[3],"novel":[4],"Bayesian":[5,34],"hierarchical":[6],"approach":[7],"for":[8,16],"online":[9,41],"bus":[10,99,155,167],"speed":[11,22,100],"prediction":[12,67,103,122],"by":[13],"explicitly":[14],"accounting":[15],"the":[17,31,38,55,59,65,80,85,91,98,106,129,132,136,160],"spatiotemporal":[18,70,138],"interaction":[19],"(STI)":[20],"of":[21,26,33,40,45,58,105,131,162],"observations.":[23],"The":[24,69,116,140],"use":[25],"Laplace":[27],"approximation":[28],"can":[29,95,119,143],"expedite":[30],"estimation":[32],"models":[35],"and":[36,54,76,114,124,135,151,159],"enable":[37],"implementation":[39],"prediction.":[42],"Large":[43],"numbers":[44],"trials":[46],"are":[47,73],"carried":[48],"out":[49],"to":[50,63,146,165],"identify":[51],"significant":[52],"predictors":[53],"optimal":[56],"length":[57],"look-back":[60],"time":[61,113],"window":[62],"achieve":[64,120],"highest":[66],"accuracy.":[68],"interacting":[71],"patterns":[72],"also":[74],"explored,":[75],"results":[77],"show":[78],"that":[79],"Type":[81,107],"IV":[82,108],"model":[83,109,118,142],"assuming":[84],"structured":[86,92],"spatial":[87],"effect":[88,94],"interacts":[89],"with":[90],"temporal":[93],"best":[96],"accommodate":[97],"data.":[101],"Besides,":[102],"errors":[104],"randomly":[110],"distribute":[111],"over":[112],"space.":[115],"proposed":[117,141],"high":[121],"accuracy":[123],"computational":[125],"efficiency":[126],"without":[127],"compromising":[128],"interpretability":[130],"contributing":[133],"factors":[134],"unobserved":[137],"heterogeneity.":[139],"be":[144],"used":[145],"assist":[147],"public":[148],"transit":[149],"operation":[150],"management,":[152],"such":[153],"as":[154],"scheduling,":[156],"congestion":[157],"warning,":[158],"development":[161],"proactive":[163],"measures":[164],"mitigate":[166],"delays.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
