{"id":"https://openalex.org/W3200636215","doi":"https://doi.org/10.1609/aaai.v36i5.20438","title":"Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment","display_name":"Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment","publication_year":2022,"publication_date":"2022-06-28","ids":{"openalex":"https://openalex.org/W3200636215","doi":"https://doi.org/10.1609/aaai.v36i5.20438","mag":"3200636215"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v36i5.20438","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v36i5.20438","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/20438/20197","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/20438/20197","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072401023","display_name":"Lukas Graf","orcid":"https://orcid.org/0000-0001-9212-0277"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lukas Graf","raw_affiliation_strings":["University of Augsburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Augsburg","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052198695","display_name":"Tobias Harks","orcid":"https://orcid.org/0000-0002-7873-3779"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Harks","raw_affiliation_strings":["University of Augsburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Augsburg","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034096393","display_name":"Kostas Kollias","orcid":"https://orcid.org/0000-0003-2889-5363"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kostas Kollias","raw_affiliation_strings":["Google"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102983936","display_name":"Michael Markl","orcid":"https://orcid.org/0000-0002-1921-5461"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Markl","raw_affiliation_strings":["University of Augsburg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Augsburg","institution_ids":["https://openalex.org/I179225836"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7143,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8164557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"36","issue":"5","first_page":"5059","last_page":"5067"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":1.0,"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":1.0,"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":0.9994999766349792,"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":0.9994000196456909,"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/complement","display_name":"Complement (music)","score":0.8020541071891785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7010061740875244},{"id":"https://openalex.org/keywords/adaptive-routing","display_name":"Adaptive routing","score":0.6179490685462952},{"id":"https://openalex.org/keywords/traffic-network","display_name":"Traffic network","score":0.5247909426689148},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.47097232937812805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4103080928325653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4011211395263672},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.3898046612739563},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3247233033180237},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13821619749069214},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0922304093837738},{"id":"https://openalex.org/keywords/routing-protocol","display_name":"Routing protocol","score":0.07726746797561646},{"id":"https://openalex.org/keywords/static-routing","display_name":"Static routing","score":0.07617712020874023}],"concepts":[{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.8020541071891785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7010061740875244},{"id":"https://openalex.org/C24856439","wikidata":"https://www.wikidata.org/wiki/Q352483","display_name":"Adaptive routing","level":5,"score":0.6179490685462952},{"id":"https://openalex.org/C2988166257","wikidata":"https://www.wikidata.org/wiki/Q924286","display_name":"Traffic network","level":2,"score":0.5247909426689148},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.47097232937812805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4103080928325653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4011211395263672},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.3898046612739563},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3247233033180237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13821619749069214},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0922304093837738},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.07726746797561646},{"id":"https://openalex.org/C204948658","wikidata":"https://www.wikidata.org/wiki/Q1119410","display_name":"Static routing","level":4,"score":0.07617712020874023},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"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/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1609/aaai.v36i5.20438","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v36i5.20438","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/20438/20197","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/20438","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/20438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:115769","is_oa":false,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/115769","pdf_url":null,"source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v36i5.20438","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v36i5.20438","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/20438/20197","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5699999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3200636215.pdf","grobid_xml":"https://content.openalex.org/works/W3200636215.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W59810511","https://openalex.org/W1503349161","https://openalex.org/W1514550500","https://openalex.org/W1553525384","https://openalex.org/W1964119857","https://openalex.org/W1972149858","https://openalex.org/W1974510926","https://openalex.org/W1984256031","https://openalex.org/W2003912133","https://openalex.org/W2010043493","https://openalex.org/W2019482021","https://openalex.org/W2036171539","https://openalex.org/W2041211188","https://openalex.org/W2063249628","https://openalex.org/W2063806083","https://openalex.org/W2065929266","https://openalex.org/W2077684499","https://openalex.org/W2079400681","https://openalex.org/W2089338760","https://openalex.org/W2091365727","https://openalex.org/W2092059932","https://openalex.org/W2106700782","https://openalex.org/W2108335025","https://openalex.org/W2111837930","https://openalex.org/W2114003337","https://openalex.org/W2142803150","https://openalex.org/W2162264963","https://openalex.org/W2172302361","https://openalex.org/W2234958105","https://openalex.org/W2337933353","https://openalex.org/W2519091744","https://openalex.org/W2611395148","https://openalex.org/W2768008502","https://openalex.org/W2890097399","https://openalex.org/W2903781749","https://openalex.org/W2949104789","https://openalex.org/W2949382160","https://openalex.org/W2963358464","https://openalex.org/W2963858333","https://openalex.org/W2965341826","https://openalex.org/W2991165231","https://openalex.org/W2997848713","https://openalex.org/W3021661673","https://openalex.org/W3038456961","https://openalex.org/W3043816729","https://openalex.org/W3103720336","https://openalex.org/W3123909522","https://openalex.org/W3200636215","https://openalex.org/W4206557425","https://openalex.org/W4285723986","https://openalex.org/W6643463922","https://openalex.org/W6643640516","https://openalex.org/W6666978214","https://openalex.org/W6669815507","https://openalex.org/W6676415528","https://openalex.org/W6677142148","https://openalex.org/W6685213032","https://openalex.org/W6689408713","https://openalex.org/W6737014821","https://openalex.org/W6745537798","https://openalex.org/W6756375986","https://openalex.org/W6762978078","https://openalex.org/W6763937631","https://openalex.org/W6781087728","https://openalex.org/W6781618339","https://openalex.org/W6789720248"],"related_works":["https://openalex.org/W3093960006","https://openalex.org/W2738408817","https://openalex.org/W2068680190","https://openalex.org/W2144257395","https://openalex.org/W2390684019","https://openalex.org/W2792320270","https://openalex.org/W657418612","https://openalex.org/W2475214826","https://openalex.org/W2116705260","https://openalex.org/W4308325108"],"abstract_inverted_index":{"We":[0,18,37,67],"study":[1],"a":[2,20,32,90,104,107],"dynamic":[3,33],"traffic":[4],"assignment":[5],"model,":[6],"where":[7],"agents":[8],"base":[9],"their":[10],"instantaneous":[11,54],"routing":[12],"decisions":[13],"on":[14,94,103],"real-time":[15],"delay":[16],"predictions.":[17],"formulate":[19],"mathematically":[21],"concise":[22],"model":[23,92],"and":[24,53,106],"derive":[25],"properties":[26],"of":[27,41,86],"the":[28,39,49,81],"predictors":[29,63],"that":[30,46],"ensure":[31],"prediction":[34],"equilibrium":[35,100],"exists.":[36],"demonstrate":[38],"versatility":[40],"our":[42,69],"framework":[43],"by":[44,72],"showing":[45],"it":[47],"subsumes":[48],"well-known":[50],"full":[51],"information":[52,55],"models,":[56],"in":[57,76],"addition":[58],"to":[59],"admitting":[60],"further":[61],"realistic":[62],"as":[64],"special":[65],"cases.":[66],"complement":[68],"theoretical":[70],"analysis":[71],"an":[73],"experimental":[74],"study,":[75],"which":[77],"we":[78],"systematically":[79],"compare":[80],"induced":[82],"average":[83],"travel":[84],"times":[85],"different":[87],"predictors,":[88],"including":[89],"machine-learning":[91],"trained":[93],"data":[95],"gained":[96],"from":[97],"previously":[98],"computed":[99],"flows,":[101],"both":[102],"synthetic":[105],"real":[108],"road":[109],"network.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}