{"id":"https://openalex.org/W3133689636","doi":"https://doi.org/10.3390/a15100376","title":"Listening to the City, Attentively: A Spatio-Temporal Attention-Boosted Autoencoder for the Short-Term Flow Prediction Problem","display_name":"Listening to the City, Attentively: A Spatio-Temporal Attention-Boosted Autoencoder for the Short-Term Flow Prediction Problem","publication_year":2022,"publication_date":"2022-10-14","ids":{"openalex":"https://openalex.org/W3133689636","doi":"https://doi.org/10.3390/a15100376","mag":"3133689636"},"language":"en","primary_location":{"id":"doi:10.3390/a15100376","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15100376","pdf_url":"https://www.mdpi.com/1999-4893/15/10/376/pdf?version=1666669678","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/15/10/376/pdf?version=1666669678","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012481141","display_name":"Stefano Fiorini","orcid":"https://orcid.org/0000-0001-5432-7584"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Stefano Fiorini","raw_affiliation_strings":["Department of Informatics, Systems and Communication, University of Milano-Bicocca, Viale Sarca, 336, 20126 Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Systems and Communication, University of Milano-Bicocca, Viale Sarca, 336, 20126 Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079768184","display_name":"Michele Ciavotta","orcid":"https://orcid.org/0000-0002-2480-966X"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Ciavotta","raw_affiliation_strings":["Department of Informatics, Systems and Communication, University of Milano-Bicocca, Viale Sarca, 336, 20126 Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Systems and Communication, University of Milano-Bicocca, Viale Sarca, 336, 20126 Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067371383","display_name":"Andrea Maurino","orcid":"https://orcid.org/0000-0001-9803-3668"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Maurino","raw_affiliation_strings":["Department of Informatics, Systems and Communication, University of Milano-Bicocca, Viale Sarca, 336, 20126 Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Informatics, Systems and Communication, University of Milano-Bicocca, Viale Sarca, 336, 20126 Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012481141"],"corresponding_institution_ids":["https://openalex.org/I66752286"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1259,"currency":"EUR","value_usd":1357},"fwci":1.0769,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.72932031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":"10","first_page":"376","last_page":"376"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9997000098228455,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9968000054359436,"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/autoencoder","display_name":"Autoencoder","score":0.8387459516525269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.800478994846344},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6014673709869385},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5373967885971069},{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.4758857488632202},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.4472087323665619},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43997833132743835},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4217718243598938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.399854451417923},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3805375099182129},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3350868821144104},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12589246034622192}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8387459516525269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.800478994846344},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6014673709869385},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5373967885971069},{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.4758857488632202},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.4472087323665619},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43997833132743835},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4217718243598938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.399854451417923},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3805375099182129},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3350868821144104},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12589246034622192},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/a15100376","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15100376","pdf_url":"https://www.mdpi.com/1999-4893/15/10/376/pdf?version=1666669678","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:boa.unimib.it:10281/395678","is_oa":true,"landing_page_url":"http://hdl.handle.net/10281/395678","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:bfecfeb6f8b94228860ab2806719efa5","is_oa":true,"landing_page_url":"https://doaj.org/article/bfecfeb6f8b94228860ab2806719efa5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 15, Iss 10, p 376 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/15/10/376/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a15100376","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a15100376","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15100376","pdf_url":"https://www.mdpi.com/1999-4893/15/10/376/pdf?version=1666669678","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3133689636.pdf","grobid_xml":"https://content.openalex.org/works/W3133689636.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1514535095","https://openalex.org/W2002033255","https://openalex.org/W2004073866","https://openalex.org/W2049952439","https://openalex.org/W2052250659","https://openalex.org/W2064675550","https://openalex.org/W2069929199","https://openalex.org/W2112738128","https://openalex.org/W2129635783","https://openalex.org/W2145039203","https://openalex.org/W2157331557","https://openalex.org/W2164364459","https://openalex.org/W2166277028","https://openalex.org/W2274287116","https://openalex.org/W2519887557","https://openalex.org/W2557283755","https://openalex.org/W2561238782","https://openalex.org/W2579495707","https://openalex.org/W2614459600","https://openalex.org/W2624190409","https://openalex.org/W2743316574","https://openalex.org/W2752782242","https://openalex.org/W2768008502","https://openalex.org/W2773003563","https://openalex.org/W2808011586","https://openalex.org/W2884585870","https://openalex.org/W2890385714","https://openalex.org/W2893813411","https://openalex.org/W2898211994","https://openalex.org/W2898987694","https://openalex.org/W2901504064","https://openalex.org/W2905442144","https://openalex.org/W2945622688","https://openalex.org/W2946170292","https://openalex.org/W2949117887","https://openalex.org/W2962741254","https://openalex.org/W2963399222","https://openalex.org/W2963432161","https://openalex.org/W2963629403","https://openalex.org/W2964308564","https://openalex.org/W2964319113","https://openalex.org/W2964350391","https://openalex.org/W2981570580","https://openalex.org/W2982492442","https://openalex.org/W3021810927","https://openalex.org/W3102918078","https://openalex.org/W3123191313","https://openalex.org/W3123909522","https://openalex.org/W3138397246","https://openalex.org/W3151697167","https://openalex.org/W3185561982","https://openalex.org/W3208184625","https://openalex.org/W3213170289","https://openalex.org/W3216904882","https://openalex.org/W4221087572","https://openalex.org/W4230661013","https://openalex.org/W4281264698","https://openalex.org/W4293396313","https://openalex.org/W4297779039","https://openalex.org/W6639118987","https://openalex.org/W6728805014","https://openalex.org/W6769818581","https://openalex.org/W6810732723","https://openalex.org/W6997162883"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3013693939","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000"],"abstract_inverted_index":{"In":[0,67],"recent":[1],"years,":[2],"studying":[3],"and":[4,17,22,31,45,59,83,90,96,100],"predicting":[5,40],"mobility":[6,65,104],"patterns":[7,102],"in":[8,103],"urban":[9,64],"environments":[10],"has":[11],"become":[12],"increasingly":[13],"important":[14],"as":[15],"accurate":[16],"timely":[18],"information":[19],"on":[20],"current":[21],"future":[23],"vehicle":[24],"flows":[25],"can":[26],"successfully":[27],"increase":[28],"the":[29,41,56,125,129],"quality":[30],"availability":[32],"of":[33,43,63,113],"transportation":[34],"services":[35],"(e.g.,":[36],"sharing":[37],"services).":[38],"However,":[39],"number":[42],"incoming":[44],"outgoing":[46],"vehicles":[47],"for":[48,106,131],"different":[49],"city":[50],"areas":[51],"is":[52],"challenging":[53],"due":[54],"to":[55],"nonlinear":[57],"spatial":[58,89,99],"temporal":[60,101],"dependencies":[61],"typical":[62],"patterns.":[66],"this":[68,132],"work,":[69],"we":[70],"propose":[71],"STREED-Net,":[72],"a":[73,114],"novel":[74],"autoencoder":[75],"architecture":[76],"featuring":[77],"time-distributed":[78],"convolutions,":[79],"cascade":[80],"hierarchical":[81],"units":[82],"two":[84],"distinct":[85],"attention":[86],"mechanisms":[87],"(one":[88],"one":[91],"temporal)":[92],"that":[93,124],"effectively":[94],"captures":[95],"exploits":[97],"complex":[98],"data":[105,120],"short-term":[107],"flow":[108],"prediction":[109],"problem.":[110],"The":[111],"results":[112],"thorough":[115],"experimental":[116],"analysis":[117],"using":[118],"real-life":[119],"are":[121],"reported,":[122],"indicating":[123],"proposed":[126],"model":[127],"improves":[128],"state-of-the-art":[130],"task.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2021-03-15T00:00:00"}