{"id":"https://openalex.org/W2026510835","doi":"https://doi.org/10.1109/icnc.2012.6234663","title":"Traffic congestion identification based on parallel SVM","display_name":"Traffic congestion identification based on parallel SVM","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2026510835","doi":"https://doi.org/10.1109/icnc.2012.6234663","mag":"2026510835"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2012.6234663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2012.6234663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 8th International Conference on Natural Computation","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/A5101718841","display_name":"Zhanquan Sun","orcid":"https://orcid.org/0000-0001-9655-3555"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhan-quan Sun","raw_affiliation_strings":["Key Laboratory for Computer Network of Shandong Province, Shandong Computer Science Center, Jinan, 250014, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Computer Network of Shandong Province, Shandong Computer Science Center, Jinan, 250014, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100873115","display_name":"Jinqiao Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin-qiao Feng","raw_affiliation_strings":["Key Laboratory for Computer Network of Shandong Province, Shandong Computer Science Center, Jinan, 250014, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Computer Network of Shandong Province, Shandong Computer Science Center, Jinan, 250014, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431625","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0001-5186-8422"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Key Laboratory for Computer Network of Shandong Province, Shandong Computer Science Center, Jinan, 250014, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Computer Network of Shandong Province, Shandong Computer Science Center, Jinan, 250014, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057190776","display_name":"Xiaomin Zhu","orcid":"https://orcid.org/0000-0003-1850-8585"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-min Zhu","raw_affiliation_strings":["Key Laboratory for Computer Network of Shandong Province, Shandong Computer Science Center, Jinan, 250014, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Computer Network of Shandong Province, Shandong Computer Science Center, Jinan, 250014, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101718841"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.4281,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.71194888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"286","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9785000085830688,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/support-vector-machine","display_name":"Support vector machine","score":0.8518476486206055},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7933763265609741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7657760977745056},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5981395840644836},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5164945125579834},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5016248226165771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47309187054634094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43405574560165405},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39697349071502686},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14755898714065552},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12366491556167603},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.08579674363136292}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8518476486206055},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7933763265609741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7657760977745056},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5981395840644836},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5164945125579834},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5016248226165771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47309187054634094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43405574560165405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39697349071502686},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14755898714065552},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12366491556167603},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.08579674363136292},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2012.6234663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2012.6234663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 8th International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309856","display_name":"National Youth Science Foundation","ror":"https://ror.org/054yz2f06"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2063467736","https://openalex.org/W2078004041","https://openalex.org/W2099262739","https://openalex.org/W2117990954","https://openalex.org/W2125126592","https://openalex.org/W2150773524","https://openalex.org/W2151010345","https://openalex.org/W2249423915","https://openalex.org/W2282637399","https://openalex.org/W2369875265","https://openalex.org/W2541981042","https://openalex.org/W3147847764","https://openalex.org/W4239510810","https://openalex.org/W4248401077","https://openalex.org/W6677732001","https://openalex.org/W6691089252","https://openalex.org/W6695968176","https://openalex.org/W6729343527"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2530420969","https://openalex.org/W2051187167","https://openalex.org/W4231775656"],"abstract_inverted_index":{"Traffic":[0],"congestion":[1,24,49,94],"auto":[2],"identification":[3,9,25,50,95],"is":[4,15,34,38,51,64,76,88,101],"a":[5,52],"complicated":[6],"problem.":[7],"Many":[8],"methods":[10],"have":[11],"been":[12],"developed.":[13],"SVM":[14,33,37,56],"taken":[16],"as":[17],"one":[18],"of":[19,32],"the":[20,28,59,85,92],"most":[21],"efficient":[22],"traffic":[23,48,80,93],"methods.":[26],"But":[27],"training":[29,60,86],"computation":[30],"cost":[31],"expensive.":[35],"General":[36],"difficult":[39],"to":[40,66,69,78,103],"be":[41,104],"used":[42],"in":[43,106],"practical":[44,70],"applications":[45],"because":[46],"that":[47,99],"real-time":[53],"task.":[54],"Parallel":[55],"can":[57],"improve":[58],"speed":[61,87],"markedly.":[62],"It":[63,97],"possible":[65],"apply":[67],"PSVM":[68,75,100],"applications.":[71],"In":[72],"this":[73],"paper,":[74],"adopted":[77],"identify":[79],"congestion.":[81],"Through":[82],"example":[83],"analysis,":[84],"improved":[89],"without":[90],"decreasing":[91],"precision.":[96],"illustrates":[98],"suitable":[102],"applied":[105],"practice.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}