{"id":"https://openalex.org/W2073209910","doi":"https://doi.org/10.1109/tits.2012.2200474","title":"Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network","display_name":"Learning the Dynamics of Arterial Traffic From Probe Data Using a Dynamic Bayesian Network","publication_year":2012,"publication_date":"2012-06-08","ids":{"openalex":"https://openalex.org/W2073209910","doi":"https://doi.org/10.1109/tits.2012.2200474","mag":"2073209910"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2012.2200474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2012.2200474","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5014473141","display_name":"Aude Hofleitner","orcid":"https://orcid.org/0009-0002-6492-2488"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aude Hofleitner","raw_affiliation_strings":["Transportation Technology, University of California Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Transportation Technology, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010715069","display_name":"Ryan Herring","orcid":null},"institutions":[{"id":"https://openalex.org/I2802406489","display_name":"Center for Information Technology Research in the Interest of Society","ror":"https://ror.org/00zv0wd17","country_code":"US","type":"facility","lineage":["https://openalex.org/I2802406489"]},{"id":"https://openalex.org/I4210153776","display_name":"Apple (United States)","ror":"https://ror.org/059hsda18","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153776"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Herring","raw_affiliation_strings":["Apple Computer, Inc., Cupertino, CA, USA","California Center for Innovative Transportation, University of California Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Apple Computer, Inc., Cupertino, CA, USA","institution_ids":["https://openalex.org/I4210153776"]},{"raw_affiliation_string":"California Center for Innovative Transportation, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I2802406489","https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049349154","display_name":"Pieter Abbeel","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pieter Abbeel","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021116704","display_name":"Alexandre M. Bayen","orcid":"https://orcid.org/0000-0002-6697-222X"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexandre Bayen","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":30.7035,"has_fulltext":false,"cited_by_count":238,"citation_normalized_percentile":{"value":0.99854594,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"13","issue":"4","first_page":"1679","last_page":"1693"},"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/T10524","display_name":"Traffic control and management","score":0.9968000054359436,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9958000183105469,"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":0.6144624352455139},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.6098829507827759},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.5378910899162292},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4611947536468506},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.41600197553634644},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40720680356025696},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.35759711265563965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2963775396347046},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1124410629272461},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10086548328399658}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6144624352455139},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.6098829507827759},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5378910899162292},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4611947536468506},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.41600197553634644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40720680356025696},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.35759711265563965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2963775396347046},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1124410629272461},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10086548328399658}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2012.2200474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2012.2200474","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W66982195","https://openalex.org/W84003716","https://openalex.org/W190086823","https://openalex.org/W195465510","https://openalex.org/W1483307070","https://openalex.org/W1516111018","https://openalex.org/W1561128958","https://openalex.org/W1575388622","https://openalex.org/W1587573180","https://openalex.org/W1680392829","https://openalex.org/W1979300931","https://openalex.org/W1980452149","https://openalex.org/W1996573126","https://openalex.org/W2017225228","https://openalex.org/W2020294948","https://openalex.org/W2031346385","https://openalex.org/W2037141248","https://openalex.org/W2049633694","https://openalex.org/W2077611006","https://openalex.org/W2082492304","https://openalex.org/W2095797625","https://openalex.org/W2098613108","https://openalex.org/W2103968250","https://openalex.org/W2109568183","https://openalex.org/W2115425194","https://openalex.org/W2119479037","https://openalex.org/W2122169437","https://openalex.org/W2131185675","https://openalex.org/W2134460702","https://openalex.org/W2142382652","https://openalex.org/W2143319963","https://openalex.org/W2153811040","https://openalex.org/W2154206668","https://openalex.org/W2155698771","https://openalex.org/W2159179429","https://openalex.org/W2160337655","https://openalex.org/W2166481425","https://openalex.org/W2168791259","https://openalex.org/W2170918595","https://openalex.org/W2962804292","https://openalex.org/W3037325009","https://openalex.org/W4250589301","https://openalex.org/W4255375128","https://openalex.org/W4285719527","https://openalex.org/W4293241248","https://openalex.org/W6603367556","https://openalex.org/W6633752984","https://openalex.org/W6634449904","https://openalex.org/W6635089135","https://openalex.org/W6637386731","https://openalex.org/W6679928718","https://openalex.org/W6683009792"],"related_works":["https://openalex.org/W2060724872","https://openalex.org/W2082094785","https://openalex.org/W2202198356","https://openalex.org/W3087203342","https://openalex.org/W2377184161","https://openalex.org/W228984114","https://openalex.org/W2090026684","https://openalex.org/W4226360758","https://openalex.org/W2151093953","https://openalex.org/W2907567977"],"abstract_inverted_index":{"Estimating":[0],"and":[1,41,101,128,140,183],"predicting":[2,42],"traffic":[3,58,91,135],"conditions":[4],"in":[5,161,230],"arterial":[6,30,43,67],"networks":[7],"using":[8,46,152],"probe":[9,19,49,88,159,199],"data":[10,20,27,139,153,171],"has":[11],"proven":[12],"to":[13,60,86,112,133,141,172,241],"be":[14,109],"a":[15,35,53,76,130,155,187,238],"substantial":[16],"challenge.":[17],"Sparse":[18],"represent":[21],"the":[22,26,62,71,102,114,122,126,181,198,207,214],"vast":[23],"majority":[24],"of":[25,64,73,81,157,197,233],"available":[28],"on":[29,56,66,125,186],"roads.":[31],"This":[32],"paper":[33],"proposes":[34],"probabilistic":[36],"modeling":[37],"framework":[38,132],"for":[39,90,216],"estimating":[40],"travel-time":[44],"distributions":[45],"sparsely":[47],"observed":[48],"vehicles.":[50],"We":[51],"introduce":[52],"model":[54,149,226],"based":[55],"hydrodynamic":[57],"theory":[59],"learn":[61,134],"density":[63],"vehicles":[65,89,94,160,200,210],"road":[68,77],"segments,":[69],"illustrating":[70],"distribution":[72,83],"delay":[74,212,218],"within":[75],"segment.":[78],"The":[79,148,177,194,225],"characterization":[80],"this":[82],"is":[84,150],"essentially":[85],"use":[87],"estimation:":[92],"Probe":[93],"report":[95],"their":[96],"location":[97,106,208],"at":[98],"random":[99],"locations,":[100],"travel":[103],"times":[104],"between":[105],"reports":[107],"must":[108],"properly":[110],"scaled":[111],"match":[113],"map":[115],"discretization.":[116],"A":[117],"dynamic":[118],"Bayesian":[119],"network":[120,127],"represents":[121],"spatiotemporal":[123],"dependence":[124],"provides":[129,227],"flexible":[131],"dynamics":[136],"from":[137,154],"historical":[138],"perform":[142],"real-time":[143],"estimation":[144,184,231],"with":[145,189,237],"streaming":[146],"data.":[147,244],"evaluated":[151],"fleet":[156],"500":[158],"San":[162],"Francisco,":[163],"CA,":[164],"which":[165],"send":[166],"Global":[167],"Positioning":[168],"System":[169],"(GPS)":[170],"our":[173],"server":[174],"every":[175],"minute.":[176],"numerical":[178],"experiments":[179],"analyze":[180],"learning":[182],"capabilities":[185],"subnetwork":[188],"more":[190],"than":[191],"800":[192],"links.":[193],"sampling":[195],"rate":[196],"does":[201],"not":[202],"provide":[203],"detailed":[204],"information":[205],"about":[206],"where":[209],"encountered":[211],"or":[213],"reason":[215],"any":[217],"(i.e.,":[219],"signal":[220],"delay,":[221,223],"congestion":[222],"etc.).":[224],"an":[228],"increase":[229],"accuracy":[232],"35%":[234],"when":[235],"compared":[236],"baseline":[239],"approach":[240],"process":[242],"probe-vehicle":[243]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":25},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":30},{"year":2017,"cited_by_count":24},{"year":2016,"cited_by_count":25},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":24},{"year":2013,"cited_by_count":21},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
