{"id":"https://openalex.org/W2077658785","doi":"https://doi.org/10.1109/itst.2012.6425176","title":"Speed estimation based on multiple kernel learning","display_name":"Speed estimation based on multiple kernel learning","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2077658785","doi":"https://doi.org/10.1109/itst.2012.6425176","mag":"2077658785"},"language":"en","primary_location":{"id":"doi:10.1109/itst.2012.6425176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itst.2012.6425176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on ITS Telecommunications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5023730987","display_name":"Chao Wei","orcid":"https://orcid.org/0000-0003-1581-8377"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wei","raw_affiliation_strings":["Department of Automation and Key Laboratoryof System Control and Information Processing, Ministry of Educationof China, Shanghai Jiaotong University, Shanghai, China","[Department of Automation, Shanghai Jiao Tong University, Ministry of Education of China, 200240, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation and Key Laboratoryof System Control and Information Processing, Ministry of Educationof China, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[Department of Automation, Shanghai Jiao Tong University, Ministry of Education of China, 200240, China]","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101774246","display_name":"Jianli Xiao","orcid":"https://orcid.org/0000-0002-7363-0623"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianli Xiao","raw_affiliation_strings":["Department of Automation and Key Laboratoryof System Control and Information Processing, Ministry of Educationof China, Shanghai Jiaotong University, Shanghai, China","[Department of Automation, Shanghai Jiao Tong University, Ministry of Education of China, 200240, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation and Key Laboratoryof System Control and Information Processing, Ministry of Educationof China, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[Department of Automation, Shanghai Jiao Tong University, Ministry of Education of China, 200240, China]","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061110835","display_name":"Yuncai Liu","orcid":"https://orcid.org/0000-0002-4040-4478"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuncai Liu","raw_affiliation_strings":["Department of Automation and Key Laboratoryof System Control and Information Processing, Ministry of Educationof China, Shanghai Jiaotong University, Shanghai, China","[Department of Automation, Shanghai Jiao Tong University, Ministry of Education of China, 200240, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation and Key Laboratoryof System Control and Information Processing, Ministry of Educationof China, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[Department of Automation, Shanghai Jiao Tong University, Ministry of Education of China, 200240, China]","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"24","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10320","display_name":"Neural Networks and Applications","score":0.9926000237464905,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.98580002784729,"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/support-vector-machine","display_name":"Support vector machine","score":0.6824629306793213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6712870597839355},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.6200430393218994},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.476259708404541},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.465087354183197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44671934843063354},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.44663873314857483},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4205993711948395},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3914145827293396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3758500814437866},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3378065824508667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3212950825691223},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.20920121669769287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15856611728668213}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6824629306793213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6712870597839355},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.6200430393218994},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.476259708404541},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.465087354183197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44671934843063354},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.44663873314857483},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4205993711948395},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3914145827293396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3758500814437866},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3378065824508667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3212950825691223},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.20920121669769287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15856611728668213},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itst.2012.6425176","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itst.2012.6425176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on ITS Telecommunications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1536428204","https://openalex.org/W1964357740","https://openalex.org/W2005701319","https://openalex.org/W2017258322","https://openalex.org/W2041496171","https://openalex.org/W2045981803","https://openalex.org/W2059507684","https://openalex.org/W2069929199","https://openalex.org/W2082845493","https://openalex.org/W2086104794","https://openalex.org/W2089470706","https://openalex.org/W2092337891","https://openalex.org/W2117682981","https://openalex.org/W2125048244","https://openalex.org/W2145438115","https://openalex.org/W2156909104","https://openalex.org/W2161668616","https://openalex.org/W2164641162","https://openalex.org/W2533671928","https://openalex.org/W3147376399","https://openalex.org/W6622761433"],"related_works":["https://openalex.org/W2900715739","https://openalex.org/W2289496068","https://openalex.org/W2043864454","https://openalex.org/W2547116720","https://openalex.org/W2188831877","https://openalex.org/W3125885229","https://openalex.org/W1483460610","https://openalex.org/W4287635664","https://openalex.org/W1508757364","https://openalex.org/W2294970809"],"abstract_inverted_index":{"Traffic":[0],"state":[1,19],"identification":[2],"is":[3,92],"one":[4],"of":[5,9,20,33,53,89,126],"the":[6,18,23,34,51,58,65,68,80,83,104,107,114,124,127,146],"core":[7],"missions":[8],"Intelligent":[10],"Transportation":[11],"Systems.":[12],"In":[13,30],"order":[14],"to":[15,93,102,122],"correctly":[16],"identify":[17],"traffic":[21,24,69,108],"flow,":[22,54,111],"speed":[25,59,72,81,109,115],"must":[26],"be":[27,62,74],"obtained":[28],"accurately.":[29,116],"Shanghai,":[31],"most":[32,149],"industrial":[35],"loop":[36,44],"detectors":[37],"(ILDs)":[38],"are":[39],"installed":[40],"in":[41],"a":[42],"single":[43],"way.":[45],"These":[46],"ILDs":[47],"can":[48,60,73,78],"only":[49],"detect":[50],"parameters":[52],"saturation,":[55],"etc.,":[56],"but":[57],"not":[61],"detected.":[63],"If":[64],"relationship":[66,105],"between":[67,106],"flow":[70,84],"and":[71,110,137,148],"mined":[75],"accurately,":[76],"we":[77],"obtain":[79],"using":[82],"data":[85],"directly.":[86],"The":[87,139],"purpose":[88],"this":[90],"study":[91],"use":[94],"multiple":[95],"kernel":[96],"support":[97],"vector":[98],"regression":[99],"(MKL-SVR)":[100],"algorithm":[101],"model":[103],"then":[112],"estimate":[113],"Extensive":[117],"experiments":[118],"have":[119],"been":[120],"performed":[121],"evaluate":[123],"performances":[125],"four":[128],"algorithms:":[129],"polynomial":[130],"fitting":[131],"algorithm,":[132],"BP":[133],"neural":[134],"networks,":[135],"SVR":[136],"MKL-SVR.":[138],"experimental":[140],"results":[141],"show":[142],"that":[143],"MKL-SVR":[144],"has":[145],"best":[147],"robust":[150],"performances.":[151]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
