{"id":"https://openalex.org/W4391409073","doi":"https://doi.org/10.1109/wsc60868.2023.10408652","title":"Breaking Through the Traffic Congestion: Asynchronous Time Series Data Integration and Xgboost for Accurate Traffic Density Prediction","display_name":"Breaking Through the Traffic Congestion: Asynchronous Time Series Data Integration and Xgboost for Accurate Traffic Density Prediction","publication_year":2023,"publication_date":"2023-12-10","ids":{"openalex":"https://openalex.org/W4391409073","doi":"https://doi.org/10.1109/wsc60868.2023.10408652"},"language":"en","primary_location":{"id":"doi:10.1109/wsc60868.2023.10408652","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wsc60868.2023.10408652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Winter Simulation Conference (WSC)","raw_type":"proceedings-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/A5009111638","display_name":"Eloi Garcia","orcid":"https://orcid.org/0000-0002-9503-5091"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Eloi Garcia","raw_affiliation_strings":["Universitat Politècnica de Catalunya-BarcelonaTech,Department of Mathematics - IEMAE - EPSEB,Barcelona,Spain,08028"],"affiliations":[{"raw_affiliation_string":"Universitat Politècnica de Catalunya-BarcelonaTech,Department of Mathematics - IEMAE - EPSEB,Barcelona,Spain,08028","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079756012","display_name":"Carles Serrat","orcid":"https://orcid.org/0000-0002-1504-5354"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Carles Serrat","raw_affiliation_strings":["Universitat Politècnica de Catalunya-BarcelonaTech,Department of Mathematics - IEMAE - EPSEB,Barcelona,Spain,08028"],"affiliations":[{"raw_affiliation_string":"Universitat Politècnica de Catalunya-BarcelonaTech,Department of Mathematics - IEMAE - EPSEB,Barcelona,Spain,08028","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007964745","display_name":"Fatos Xhafa","orcid":"https://orcid.org/0000-0001-6569-5497"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fatos Xhafa","raw_affiliation_strings":["Universitat Politècnica de Catalunya-BarcelonaTech,Department of Computer Science,Barcelona,Spain,08034"],"affiliations":[{"raw_affiliation_string":"Universitat Politècnica de Catalunya-BarcelonaTech,Department of Computer Science,Barcelona,Spain,08034","institution_ids":["https://openalex.org/I9617848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009111638"],"corresponding_institution_ids":["https://openalex.org/I9617848"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22640712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1747","last_page":"1758"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9977999925613403,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.9030624628067017},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.7137220501899719},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7051618099212646},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6459273099899292},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.5599063038825989},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5288242697715759},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4979710578918457},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.47136130928993225},{"id":"https://openalex.org/keywords/smart-city","display_name":"Smart city","score":0.44775906205177307},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3294698894023895},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.18964830040931702},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16674956679344177},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1607602834701538},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15836644172668457},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.15399765968322754},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14180195331573486}],"concepts":[{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.9030624628067017},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7137220501899719},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7051618099212646},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6459273099899292},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5599063038825989},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5288242697715759},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4979710578918457},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.47136130928993225},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.44775906205177307},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3294698894023895},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.18964830040931702},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16674956679344177},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1607602834701538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15836644172668457},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.15399765968322754},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14180195331573486},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc60868.2023.10408652","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/wsc60868.2023.10408652","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5400000214576721,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1964930029","https://openalex.org/W1981027530","https://openalex.org/W2089980198","https://openalex.org/W2942563991","https://openalex.org/W2998031958","https://openalex.org/W2999615587","https://openalex.org/W3088153921","https://openalex.org/W3136422062","https://openalex.org/W3199298121","https://openalex.org/W4362578928","https://openalex.org/W4399570135","https://openalex.org/W6737947904","https://openalex.org/W6785439672"],"related_works":["https://openalex.org/W2060561905","https://openalex.org/W2931688134","https://openalex.org/W1417711376","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W1986883493","https://openalex.org/W2999756192","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060"],"abstract_inverted_index":{"The":[0,90],"proliferation":[1],"of":[2,17,39,57,76,92,102,122],"data":[3,53,61,93,129],"collection":[4],"from":[5,54,94],"smart":[6,141],"cities":[7],"has":[8],"resulted":[9],"in":[10,14],"an":[11,45,80],"exponential":[12],"growth":[13],"the":[15,28,36,40,74,98,120],"volume":[16],"measurements":[18],"available":[19],"for":[20,106,125,137],"analysis.":[21],"However,":[22],"collecting":[23],"all":[24],"parameters":[25],"concurrently":[26],"at":[27,104],"same":[29],"location":[30],"is":[31],"not":[32],"feasible":[33],"due":[34],"to":[35,59,73],"complex":[37],"nature":[38],"real":[41],"world.":[42],"We":[43],"present":[44],"innovative":[46],"methodology":[47,124],"that":[48],"enriches":[49],"asynchronous":[50],"time":[51],"series":[52],"a":[55],"variety":[56],"sources":[58,96],"facilitate":[60],"enrichment":[62,130],"and":[63,87,100,113,118,127],"city-wide":[64],"behaviour":[65],"simulation.":[66],"A":[67],"case":[68],"study":[69],"on":[70,84,140],"OpenDataBCN":[71],"attests":[72],"efficacy":[75],"this":[77,123],"approach":[78],"via":[79],"XGBoost":[81],"model,":[82],"predicated":[83],"geographical":[85],"coordinates":[86],"timestamp":[88],"disparities.":[89],"consolidation":[91],"different":[95],"improves":[97],"richness":[99],"granularity":[101],"information":[103],"disposal":[105],"analysis,":[107],"thereby":[108],"revealing":[109],"previously":[110],"hidden":[111],"patterns":[112],"relationships,":[114],"exhibiting":[115],"new":[116,135],"insights":[117],"underscoring":[119],"potential":[121],"sustainable":[126],"efficient":[128],"processes":[131],"as":[132,134],"well":[133],"possibilities":[136],"simulation":[138],"based":[139],"city":[142],"datasets.":[143]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}