{"id":"https://openalex.org/W4404469345","doi":"https://doi.org/10.1109/tits.2024.3491754","title":"Contextualizing MLP-Mixers Spatiotemporally for Urban Traffic Data Forecast at Scale","display_name":"Contextualizing MLP-Mixers Spatiotemporally for Urban Traffic Data Forecast at Scale","publication_year":2024,"publication_date":"2024-11-18","ids":{"openalex":"https://openalex.org/W4404469345","doi":"https://doi.org/10.1109/tits.2024.3491754"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3491754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3491754","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/A5001164391","display_name":"Tong Nie","orcid":"https://orcid.org/0000-0001-8403-6622"},"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":"Tong Nie","raw_affiliation_strings":["Department of Traffic Engineering and Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8403-6622","affiliations":[{"raw_affiliation_string":"Department of Traffic Engineering and Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076548440","display_name":"Guoyang Qin","orcid":"https://orcid.org/0000-0001-5310-4207"},"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":"Guoyang Qin","raw_affiliation_strings":["Department of Traffic Engineering and Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5310-4207","affiliations":[{"raw_affiliation_string":"Department of Traffic Engineering and Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058941074","display_name":"Lijun Sun","orcid":"https://orcid.org/0000-0001-9488-0712"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Lijun Sun","raw_affiliation_strings":["Department of Civil Engineering, McGill University, Montreal, QC, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9488-0712","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, McGill University, Montreal, QC, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Ma","orcid":"https://orcid.org/0000-0001-8945-5877"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wei Ma","raw_affiliation_strings":["Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China","Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-8945-5877","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102025158","display_name":"Yu Mei","orcid":"https://orcid.org/0000-0003-2620-3589"},"institutions":[{"id":"https://openalex.org/I4210126311","display_name":"Beijing Transportation Research Center","ror":"https://ror.org/03pydk223","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210126311"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Mei","raw_affiliation_strings":["Department of Intelligent Transportation Systems, Baidu Inc., Beijing, China","Department of Intelligent Transportation Systems, Baidu Inc, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Transportation Systems, Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712","https://openalex.org/I4210126311"]},{"raw_affiliation_string":"Department of Intelligent Transportation Systems, Baidu Inc, Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jian Sun","orcid":"https://orcid.org/0000-0001-5031-4938"},"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":"Jian Sun","raw_affiliation_strings":["Department of Traffic Engineering and Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5031-4938","affiliations":[{"raw_affiliation_string":"Department of Traffic Engineering and 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":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5125,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8870406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"26","issue":"1","first_page":"1241","last_page":"1256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9782000184059143,"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":0.9782000184059143,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5944843292236328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47049781680107117},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4030844569206238},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3808947801589966},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.28039294481277466},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16281086206436157},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07927033305168152}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5944843292236328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47049781680107117},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4030844569206238},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3808947801589966},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28039294481277466},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16281086206436157},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07927033305168152}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3491754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3491754","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":0.7400000095367432,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G7993263515","display_name":null,"funder_award_id":"52125208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8229152773","display_name":null,"funder_award_id":"52302413","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1969865391","https://openalex.org/W1983883318","https://openalex.org/W2524376963","https://openalex.org/W2604847698","https://openalex.org/W2756203131","https://openalex.org/W2903871660","https://openalex.org/W2965341826","https://openalex.org/W2970100546","https://openalex.org/W2997848713","https://openalex.org/W2998313947","https://openalex.org/W2998436408","https://openalex.org/W3005377970","https://openalex.org/W3045642713","https://openalex.org/W3080253043","https://openalex.org/W3126367810","https://openalex.org/W3158304688","https://openalex.org/W3177318507","https://openalex.org/W4226331723","https://openalex.org/W4306317966","https://openalex.org/W4312703862","https://openalex.org/W4376478656","https://openalex.org/W4379382937","https://openalex.org/W4379623896","https://openalex.org/W4382203079","https://openalex.org/W4382239247","https://openalex.org/W4385245566","https://openalex.org/W4387846444","https://openalex.org/W4387848846","https://openalex.org/W4388255668","https://openalex.org/W4399163372","https://openalex.org/W4401863578","https://openalex.org/W4403578173","https://openalex.org/W4403600951","https://openalex.org/W4403757605","https://openalex.org/W6632530909","https://openalex.org/W6746015598","https://openalex.org/W6766978945","https://openalex.org/W6773017188","https://openalex.org/W6773154947","https://openalex.org/W6774097426","https://openalex.org/W6780221082","https://openalex.org/W6786152982","https://openalex.org/W6787725836","https://openalex.org/W6795140394","https://openalex.org/W6797155008","https://openalex.org/W6797297377","https://openalex.org/W6802810016","https://openalex.org/W6809945095","https://openalex.org/W6810637551","https://openalex.org/W6810873238","https://openalex.org/W6839352926","https://openalex.org/W6845072079","https://openalex.org/W6845625448","https://openalex.org/W6846825190","https://openalex.org/W6847663070","https://openalex.org/W6848269516","https://openalex.org/W6849083291","https://openalex.org/W6849672747","https://openalex.org/W6850911720","https://openalex.org/W6851690559","https://openalex.org/W6853286509","https://openalex.org/W6853921433","https://openalex.org/W6854278629","https://openalex.org/W6856558954","https://openalex.org/W6857279128","https://openalex.org/W6858182339","https://openalex.org/W6858342418","https://openalex.org/W6859457489","https://openalex.org/W6875128193","https://openalex.org/W6889955440"],"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":{"Spatiotemporal":[0],"traffic":[1,126],"data":[2],"(STTD)":[3],"displays":[4],"complex":[5],"correlational":[6],"structures.":[7],"Extensive":[8],"advanced":[9],"techniques":[10],"have":[11],"been":[12,144],"designed":[13],"to":[14,31,152,164],"capture":[15],"these":[16],"structures":[17],"for":[18,56,76,170],"effective":[19],"forecasting.":[20,173],"However,":[21],"because":[22],"STTD":[23,77,172],"is":[24,107],"often":[25],"massive":[26],"in":[27,66,146,155],"scale,":[28],"practitioners":[29],"need":[30],"strike":[32],"a":[33,147],"balance":[34],"between":[35,98],"effectiveness":[36],"and":[37,59,93,100,139,142,159],"efficiency":[38],"using":[39],"computationally":[40],"efficient":[41],"models.":[42],"An":[43],"alternative":[44],"paradigm":[45],"based":[46],"on":[47,124],"multilayer":[48],"perceptron":[49],"(MLP)":[50],"called":[51],"MLP-Mixer":[52],"has":[53,130,143],"the":[54,84,103,165],"potential":[55],"both":[57],"simplicity":[58],"effectiveness.":[60],"Taking":[61],"inspiration":[62],"from":[63],"its":[64,132],"success":[65],"other":[67],"domains,":[68,136],"we":[69],"propose":[70],"an":[71],"adapted":[72],"version,":[73],"named":[74],"NexuSQN,":[75],"forecast":[78],"at":[79],"scale.":[80],"We":[81],"first":[82],"identify":[83],"challenges":[85],"faced":[86],"when":[87,122],"directly":[88],"applying":[89],"MLP-Mixers":[90],"as":[91],"series-":[92],"window-wise":[94],"multivaluedness.":[95],"To":[96],"distinguish":[97],"spatial":[99],"temporal":[101],"patterns,":[102],"concept":[104],"of":[105,167],"ST-contextualization":[106],"then":[108],"proposed.":[109],"Our":[110,161],"results":[111],"surprisingly":[112],"show":[113],"that":[114],"this":[115],"simple-yet-effective":[116,168],"solution":[117],"can":[118],"rival":[119],"SOTA":[120],"baselines":[121],"tested":[123],"several":[125],"benchmarks.":[127],"Furthermore,":[128],"NexuSQN":[129],"demonstrated":[131],"versatility":[133],"across":[134],"different":[135],"including":[137],"energy":[138],"environment":[140],"data,":[141],"deployed":[145],"collaborative":[148],"project":[149],"with":[150],"Baidu":[151],"predict":[153],"congestion":[154],"megacities":[156],"like":[157],"Beijing":[158],"Shanghai.":[160],"findings":[162],"contribute":[163],"exploration":[166],"models":[169],"real-world":[171]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9}],"updated_date":"2026-06-25T08:15:23.626066","created_date":"2025-10-10T00:00:00"}