{"id":"https://openalex.org/W2556810877","doi":"https://doi.org/10.1109/apnoms.2016.7737227","title":"A new fusion structure model for real-time urban traffic state estimation by multisource traffic data fusion","display_name":"A new fusion structure model for real-time urban traffic state estimation by multisource traffic data fusion","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2556810877","doi":"https://doi.org/10.1109/apnoms.2016.7737227","mag":"2556810877"},"language":"en","primary_location":{"id":"doi:10.1109/apnoms.2016.7737227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apnoms.2016.7737227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS)","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/A5100406355","display_name":"Pan Zhang","orcid":"https://orcid.org/0000-0003-0402-6905"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pan Zhang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061384088","display_name":"Lanlan Rui","orcid":"https://orcid.org/0000-0001-7581-383X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanlan Rui","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042944721","display_name":"Xuesong Qiu","orcid":"https://orcid.org/0000-0002-7899-539X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Qiu","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012549385","display_name":"Ruichang Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruichang Shi","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100406355"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.3049,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67407937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9957000017166138,"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":0.9957000017166138,"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9559999704360962,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9503999948501587,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.721605658531189},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6789059638977051},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6629722714424133},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.6492637991905212},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4998433589935303},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4473520815372467},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4140489995479584},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37077078223228455},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3656480312347412},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33081167936325073},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08922776579856873}],"concepts":[{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.721605658531189},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6789059638977051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6629722714424133},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6492637991905212},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4998433589935303},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4473520815372467},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4140489995479584},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37077078223228455},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3656480312347412},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33081167936325073},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08922776579856873},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apnoms.2016.7737227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apnoms.2016.7737227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8500000238418579,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1952209694","https://openalex.org/W1963498870","https://openalex.org/W1966710831","https://openalex.org/W1969712973","https://openalex.org/W2002297879","https://openalex.org/W2011504567","https://openalex.org/W2089011753","https://openalex.org/W2137342213","https://openalex.org/W2157687268","https://openalex.org/W2318062028"],"related_works":["https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W4241418540","https://openalex.org/W2018477250","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2],"meet":[3],"the":[4,39,69],"requirements":[5],"of":[6,19,29,73],"traffic":[7,13],"data":[8,54],"fusion":[9,20,26,32,45],"for":[10],"real-time":[11],"urban":[12],"state":[14],"estimation,":[15],"a":[16,50],"new":[17],"kind":[18],"structure":[21],"model":[22,27],"is":[23],"proposed.":[24],"This":[25],"consists":[28],"both":[30],"spatial":[31,44],"and":[33,71],"temporal":[34,51],"fusion.":[35],"First":[36],"we":[37,48],"use":[38],"power":[40],"average":[41],"operator":[42],"as":[43,76,78],"method.":[46],"Then":[47],"propose":[49],"correlation":[52],"based":[53,58],"compression":[55],"(TCDC)":[56],"algorithm,":[57,75],"on":[59,83],"segment":[60],"linear":[61],"regression":[62],"(SLR)":[63],"algorithm.":[64],"Extensive":[65],"simulation":[66],"results":[67],"demonstrate":[68],"effectiveness":[70],"correctness":[72],"TCDC":[74],"well":[77],"TCDC's":[79],"advantage":[80],"over":[81],"SLR":[82],"overall":[84],"performance.":[85]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
