{"id":"https://openalex.org/W2945177784","doi":"https://doi.org/10.3390/s19102229","title":"Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks","display_name":"Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks","publication_year":2019,"publication_date":"2019-05-14","ids":{"openalex":"https://openalex.org/W2945177784","doi":"https://doi.org/10.3390/s19102229","mag":"2945177784","pmid":"https://pubmed.ncbi.nlm.nih.gov/31091802"},"language":"en","primary_location":{"id":"doi:10.3390/s19102229","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19102229","pdf_url":"https://www.mdpi.com/1424-8220/19/10/2229/pdf?version=1557838052","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/10/2229/pdf?version=1557838052","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101683642","display_name":"Sen Zhang","orcid":"https://orcid.org/0000-0001-8155-5996"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210152908","display_name":"Chengdu Institute of Biology","ror":"https://ror.org/04w5etv87","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210152908"]},{"id":"https://openalex.org/I4210156872","display_name":"Guizhou Institute of Technology","ror":"https://ror.org/05x510r30","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156872"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Zhang","raw_affiliation_strings":["Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu 610041, China","School of Big Data, Guizhou Institute of Technology, Guiyang 550003, China","University of Chinese Academy of Sciences, Beijing 100049, China","School of Big Data, Guizhou Institute of Technology, Guiyang 550003, China. sen.zhang@gmail.com","University of Chinese Academy of Sciences, Beijing 100049, China. sen.zhang@gmail.com","Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu 610041, China. sen.zhang@gmail.com"],"raw_orcid":"https://orcid.org/0000-0001-8155-5996","affiliations":[{"raw_affiliation_string":"Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu 610041, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Big Data, Guizhou Institute of Technology, Guiyang 550003, China","institution_ids":["https://openalex.org/I4210156872"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Big Data, Guizhou Institute of Technology, Guiyang 550003, China. sen.zhang@gmail.com","institution_ids":["https://openalex.org/I4210156872"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China. sen.zhang@gmail.com","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Chengdu Institute of Computer Application, Chinese Academy of Sciences, Chengdu 610041, China. sen.zhang@gmail.com","institution_ids":["https://openalex.org/I4210152908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064482651","display_name":"Yong Yao","orcid":"https://orcid.org/0000-0003-0507-3711"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]},{"id":"https://openalex.org/I4210116001","display_name":"Guiyang University","ror":"https://ror.org/025edj240","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116001"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yao","raw_affiliation_strings":["School of Mechanical Engineering, Guizhou University, Guiyang 550003, China","School of Mechanical Engineering, Guizhou University, Guiyang 550003, China. yao_yong92@163.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550003, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550003, China. yao_yong92@163.com","institution_ids":["https://openalex.org/I178232147","https://openalex.org/I4210116001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035602823","display_name":"Jie Hu","orcid":"https://orcid.org/0000-0002-3893-1594"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]},{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]},{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Jie Hu","raw_affiliation_strings":["College of Big Data Statistics, GuiZhou University of Finance and Economics, Guiyang 550025, China","Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA","School of Mechanical Engineering, Guizhou University, Guiyang 550003, China","College of Big Data Statistics, GuiZhou University of Finance and Economics, Guiyang 550025, China. jason.houu@gmail.com"],"raw_orcid":"https://orcid.org/0000-0002-3893-1594","affiliations":[{"raw_affiliation_string":"College of Big Data Statistics, GuiZhou University of Finance and Economics, Guiyang 550025, China","institution_ids":["https://openalex.org/I170172562"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550003, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"College of Big Data Statistics, GuiZhou University of Finance and Economics, Guiyang 550025, China. jason.houu@gmail.com","institution_ids":["https://openalex.org/I170172562","https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jie Hu","orcid":"https://orcid.org/0000-0002-3893-1594"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]},{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]},{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jie Hu","raw_affiliation_strings":["College of Big Data Statistics, GuiZhou University of Finance and Economics, Guiyang 550025, China","Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA","School of Mechanical Engineering, Guizhou University, Guiyang 550003, China","Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA. yongz@email.sc.edu"],"raw_orcid":"https://orcid.org/0000-0002-3893-1594","affiliations":[{"raw_affiliation_string":"College of Big Data Statistics, GuiZhou University of Finance and Economics, Guiyang 550025, China","institution_ids":["https://openalex.org/I170172562"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550003, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA. yongz@email.sc.edu","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100601589","display_name":"Yong Zhao","orcid":"https://orcid.org/0000-0002-6762-266X"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]},{"id":"https://openalex.org/I4210095439","display_name":"Guizhou Minzu University","ror":"https://ror.org/00qm4t918","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210095439"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yong Zhao","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA","School of Mechanical Engineering, Guizhou University, Guiyang 550003, China. lishaobo@gzu.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550003, China. lishaobo@gzu.edu.cn","institution_ids":["https://openalex.org/I4210095439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354322","display_name":"Shaobo Li","orcid":"https://orcid.org/0000-0003-4759-6000"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]},{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]},{"id":"https://openalex.org/I4210116001","display_name":"Guiyang University","ror":"https://ror.org/025edj240","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210116001"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Shaobo Li","raw_affiliation_strings":["School of Mechanical Engineering, Guizhou University, Guiyang 550003, China","Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA. jianjunh@cse.sc.edu","School of Mechanical Engineering, Guizhou University, Guiyang 550003, China. jianjunh@cse.sc.edu"],"raw_orcid":"https://orcid.org/0000-0003-4759-6000","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550003, China","institution_ids":["https://openalex.org/I178232147"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA. jianjunh@cse.sc.edu","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550003, China. jianjunh@cse.sc.edu","institution_ids":["https://openalex.org/I178232147","https://openalex.org/I4210116001"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianjun Hu","orcid":"https://orcid.org/0000-0002-8725-6660"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]},{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]},{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Jianjun Hu","raw_affiliation_strings":["College of Big Data Statistics, GuiZhou University of Finance and Economics, Guiyang 550025, China","Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA","School of Mechanical Engineering, Guizhou University, Guiyang 550003, China"],"raw_orcid":"https://orcid.org/0000-0002-8725-6660","affiliations":[{"raw_affiliation_string":"College of Big Data Statistics, GuiZhou University of Finance and Economics, Guiyang 550025, China","institution_ids":["https://openalex.org/I170172562"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550003, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jianjun Hu","orcid":"https://orcid.org/0000-0002-8725-6660"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]},{"id":"https://openalex.org/I170172562","display_name":"Guizhou University of Finance and Economics","ror":"https://ror.org/02sw6yz40","country_code":"CN","type":"education","lineage":["https://openalex.org/I170172562"]},{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jianjun Hu","raw_affiliation_strings":["College of Big Data Statistics, GuiZhou University of Finance and Economics, Guiyang 550025, China","Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA","School of Mechanical Engineering, Guizhou University, Guiyang 550003, China"],"raw_orcid":"https://orcid.org/0000-0002-8725-6660","affiliations":[{"raw_affiliation_string":"College of Big Data Statistics, GuiZhou University of Finance and Economics, Guiyang 550025, China","institution_ids":["https://openalex.org/I170172562"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"School of Mechanical Engineering, Guizhou University, Guiyang 550003, China","institution_ids":["https://openalex.org/I178232147"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5035602823","https://openalex.org/A5100354322"],"corresponding_institution_ids":["https://openalex.org/I155781252","https://openalex.org/I170172562","https://openalex.org/I178232147","https://openalex.org/I4210116001"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":8.6125,"has_fulltext":false,"cited_by_count":95,"citation_normalized_percentile":{"value":0.98090068,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"19","issue":"10","first_page":"2229","last_page":"2229"},"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9948999881744385,"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/T10524","display_name":"Traffic control and management","score":0.9926000237464905,"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/computer-science","display_name":"Computer science","score":0.7311210036277771},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6990399956703186},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.6468232274055481},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5618882179260254},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.5350808501243591},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5183159112930298},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.5070278644561768},{"id":"https://openalex.org/keywords/network-traffic-control","display_name":"Network traffic control","score":0.5068281292915344},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.5048211216926575},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48351243138313293},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.4208780527114868},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36873573064804077},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3359920382499695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2843288779258728},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.17029082775115967},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1654445230960846},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14388054609298706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311210036277771},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6990399956703186},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.6468232274055481},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5618882179260254},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.5350808501243591},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5183159112930298},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.5070278644561768},{"id":"https://openalex.org/C201100257","wikidata":"https://www.wikidata.org/wiki/Q393287","display_name":"Network traffic control","level":3,"score":0.5068281292915344},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.5048211216926575},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48351243138313293},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.4208780527114868},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36873573064804077},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3359920382499695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2843288779258728},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.17029082775115967},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1654445230960846},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14388054609298706},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0}],"mesh":[],"locations_count":8,"locations":[{"id":"doi:10.3390/s19102229","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19102229","pdf_url":"https://www.mdpi.com/1424-8220/19/10/2229/pdf?version=1557838052","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:31091802","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31091802","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:scholarcommons.sc.edu:csce_facpub-1259","is_oa":true,"landing_page_url":"https://scholarcommons.sc.edu/csce_facpub/262","pdf_url":null,"source":{"id":"https://openalex.org/S4306401386","display_name":"Scholar Commons (University of South Carolina)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I155781252","host_organization_name":"University of South Carolina","host_organization_lineage":["https://openalex.org/I155781252"],"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":"Faculty Publications","raw_type":"text"},{"id":"pmh:oai:scholarcommons.sc.edu:csce_facpub-1271","is_oa":true,"landing_page_url":"https://scholarcommons.sc.edu/csce_facpub/271","pdf_url":null,"source":{"id":"https://openalex.org/S4306401386","display_name":"Scholar Commons (University of South Carolina)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I155781252","host_organization_name":"University of South Carolina","host_organization_lineage":["https://openalex.org/I155781252"],"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":"Faculty Publications","raw_type":"text"},{"id":"pmh:oai:scholarcommons.sc.edu:csce_facpub-1272","is_oa":true,"landing_page_url":"https://scholarcommons.sc.edu/csce_facpub/272","pdf_url":null,"source":{"id":"https://openalex.org/S4306401386","display_name":"Scholar Commons (University of South Carolina)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I155781252","host_organization_name":"University of South Carolina","host_organization_lineage":["https://openalex.org/I155781252"],"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":"Faculty Publications","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:c3a828b03df641a994463123321010a8","is_oa":true,"landing_page_url":"https://doaj.org/article/c3a828b03df641a994463123321010a8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 19, Iss 10, p 2229 (2019)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5547961","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6567350","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/10/2229/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19102229","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":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19102229","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19102229","pdf_url":"https://www.mdpi.com/1424-8220/19/10/2229/pdf?version=1557838052","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G3477046769","display_name":null,"funder_award_id":"91746116 and 51741101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6369977581","display_name":null,"funder_award_id":"[2018]5788, 407 Talents [2015]4011 and [2016]5013, Collaborative Innovation [2015]02","funder_id":"https://openalex.org/F4320336617","funder_display_name":"Science and Technology Program of Guizhou Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336617","display_name":"Science and Technology Program of Guizhou Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2945177784.pdf"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W43001522","https://openalex.org/W626976659","https://openalex.org/W1485009520","https://openalex.org/W1680622244","https://openalex.org/W1875626450","https://openalex.org/W1967444754","https://openalex.org/W1973681148","https://openalex.org/W1973943669","https://openalex.org/W1977405947","https://openalex.org/W1989491491","https://openalex.org/W2002644193","https://openalex.org/W2004353783","https://openalex.org/W2011529478","https://openalex.org/W2013758377","https://openalex.org/W2021153764","https://openalex.org/W2036785686","https://openalex.org/W2040297119","https://openalex.org/W2059820930","https://openalex.org/W2062017159","https://openalex.org/W2066377449","https://openalex.org/W2069929199","https://openalex.org/W2075824254","https://openalex.org/W2081768251","https://openalex.org/W2083238230","https://openalex.org/W2095705004","https://openalex.org/W2097498150","https://openalex.org/W2100495367","https://openalex.org/W2135410644","https://openalex.org/W2143242061","https://openalex.org/W2150010190","https://openalex.org/W2151807833","https://openalex.org/W2160507653","https://openalex.org/W2165991108","https://openalex.org/W2171234954","https://openalex.org/W2274750026","https://openalex.org/W2293708710","https://openalex.org/W2396976214","https://openalex.org/W2460404912","https://openalex.org/W2483705917","https://openalex.org/W2510068669","https://openalex.org/W2533328922","https://openalex.org/W2550245413","https://openalex.org/W2566815782","https://openalex.org/W2579495707","https://openalex.org/W2599478506","https://openalex.org/W2604472983","https://openalex.org/W2613331518","https://openalex.org/W2749658623","https://openalex.org/W2789788750","https://openalex.org/W2793811777","https://openalex.org/W2802975867","https://openalex.org/W2808871417","https://openalex.org/W2847547070","https://openalex.org/W2894924324","https://openalex.org/W2897876396","https://openalex.org/W2898628748","https://openalex.org/W2953118818","https://openalex.org/W3104764698","https://openalex.org/W4232970710","https://openalex.org/W6647526219","https://openalex.org/W6659849045","https://openalex.org/W6669103176","https://openalex.org/W6674330103"],"related_works":["https://openalex.org/W2161957991","https://openalex.org/W3117279048","https://openalex.org/W2060036720","https://openalex.org/W2009112536","https://openalex.org/W2972320057","https://openalex.org/W2410941711","https://openalex.org/W1550043390","https://openalex.org/W2587362999","https://openalex.org/W2898775471","https://openalex.org/W2621233240"],"abstract_inverted_index":{"Traffic":[0,86],"congestion":[1,24,47,64,70,93,160,168],"prediction":[2,25,180],"is":[3,26,36],"critical":[4],"for":[5,10,121,166],"implementing":[6],"intelligent":[7],"transportation":[8,17,133,164],"systems":[9],"improving":[11],"the":[12,40,122,125,143,148,163],"efficiency":[13],"and":[14,49,57,66,124,135,154,184],"capacity":[15],"of":[16,43,107,131,159,162],"networks.":[18],"However,":[19],"despite":[20],"its":[21],"importance,":[22],"traffic":[23,32,46,63,69,92,101,137,167],"severely":[27],"less":[28],"investigated":[29],"compared":[30],"to":[31,39,60,67,127],"flow":[33],"prediction,":[34],"which":[35],"partially":[37],"due":[38],"severe":[41],"lack":[42],"large-scale":[44,62],"high-quality":[45],"data":[48,65],"advanced":[50],"algorithms.":[51],"This":[52],"paper":[53],"proposes":[54],"an":[55],"accessible":[56],"general":[58],"workflow":[59,78],"acquire":[61],"create":[68,80],"datasets":[71],"based":[72,90],"on":[73,91,142],"image":[74],"analysis.":[75],"With":[76],"this":[77],"we":[79],"a":[81,97,112,132],"dataset":[82,145],"named":[83],"Seattle":[84],"Area":[85],"Congestion":[87],"Status":[88],"(SATCS)":[89],"map":[94],"snapshots":[95],"from":[96],"publicly":[98],"available":[99],"online":[100],"service":[102],"provider":[103],"Washington":[104],"State":[105],"Department":[106],"Transportation.":[108],"We":[109],"then":[110],"propose":[111],"deep":[113],"autoencoder-based":[114],"neural":[115,176],"network":[116,134,165,177],"model":[117,151],"with":[118],"symmetrical":[119],"layers":[120],"encoder":[123],"decoder":[126],"learn":[128,156],"temporal":[129,157],"correlations":[130],"predicting":[136],"congestion.":[138],"Our":[139,170],"experimental":[140],"results":[141],"SATCS":[144],"show":[146],"that":[147],"proposed":[149],"DCPN":[150],"can":[152],"efficiently":[153],"effectively":[155],"relationships":[158],"levels":[161],"forecasting.":[169],"method":[171],"outperforms":[172],"two":[173],"other":[174],"state-of-the-art":[175],"models":[178],"in":[179],"performance,":[181],"generalization":[182],"capability,":[183],"computation":[185],"efficiency.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-10T06:08:35.923825","created_date":"2025-10-10T00:00:00"}
