{"id":"https://openalex.org/W3093677654","doi":"https://doi.org/10.1145/3424978.3425002","title":"Research on Equilibrium Control Method of Urban Road Network Based on Big Data","display_name":"Research on Equilibrium Control Method of Urban Road Network Based on Big Data","publication_year":2020,"publication_date":"2020-10-15","ids":{"openalex":"https://openalex.org/W3093677654","doi":"https://doi.org/10.1145/3424978.3425002","mag":"3093677654"},"language":"en","primary_location":{"id":"doi:10.1145/3424978.3425002","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3424978.3425002","pdf_url":null,"source":{"id":"https://openalex.org/S4306523839","display_name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","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/A5100405318","display_name":"Jianhua Liu","orcid":"https://orcid.org/0000-0002-1694-0975"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jianhua Liu","raw_affiliation_strings":["Lianyungang JARI Electronics Co., Ltd, Jiangsu China"],"affiliations":[{"raw_affiliation_string":"Lianyungang JARI Electronics Co., Ltd, Jiangsu China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101972408","display_name":"Taotao Gao","orcid":"https://orcid.org/0000-0002-5703-1495"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taotao Gao","raw_affiliation_strings":["Lianyungang JARI Electronics Co., Ltd, Jiangsu China"],"affiliations":[{"raw_affiliation_string":"Lianyungang JARI Electronics Co., Ltd, Jiangsu China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101191381","display_name":"Yunxia Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunxia Du","raw_affiliation_strings":["Lianyungang JARI Electronics Co., Ltd, Jiangsu China"],"affiliations":[{"raw_affiliation_string":"Lianyungang JARI Electronics Co., Ltd, Jiangsu China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100405318"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.374,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52503477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T13527","display_name":"Transportation Systems and Logistics","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T10524","display_name":"Traffic control and management","score":0.9847999811172485,"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/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.6826697587966919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5633629560470581},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5513828992843628},{"id":"https://openalex.org/keywords/traffic-volume","display_name":"Traffic volume","score":0.5403923988342285},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.4751581847667694},{"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":0.4598759710788727},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.4548095762729645},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.45033034682273865},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4487367272377014},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.4372984766960144},{"id":"https://openalex.org/keywords/urban-area","display_name":"Urban area","score":0.42163950204849243},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4137043058872223},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.34204721450805664},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.21928998827934265},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18756160140037537},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1710795760154724},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.0914071798324585}],"concepts":[{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.6826697587966919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5633629560470581},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5513828992843628},{"id":"https://openalex.org/C168443057","wikidata":"https://www.wikidata.org/wiki/Q7001223","display_name":"Traffic volume","level":2,"score":0.5403923988342285},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.4751581847667694},{"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":0.4598759710788727},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.4548095762729645},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.45033034682273865},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4487367272377014},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.4372984766960144},{"id":"https://openalex.org/C2778368647","wikidata":"https://www.wikidata.org/wiki/Q702492","display_name":"Urban area","level":2,"score":0.42163950204849243},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4137043058872223},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.34204721450805664},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.21928998827934265},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18756160140037537},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1710795760154724},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.0914071798324585},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3424978.3425002","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3424978.3425002","pdf_url":null,"source":{"id":"https://openalex.org/S4306523839","display_name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Conference on Computer Science and Application Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8199999928474426,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1967514707","https://openalex.org/W2012497517","https://openalex.org/W2083316861","https://openalex.org/W2098212684","https://openalex.org/W6642183093"],"related_works":["https://openalex.org/W2587362999","https://openalex.org/W2410941711","https://openalex.org/W2009112536","https://openalex.org/W4386821284","https://openalex.org/W2896023251","https://openalex.org/W3165311439","https://openalex.org/W1977153226","https://openalex.org/W1550043390","https://openalex.org/W1977405947","https://openalex.org/W4296713240"],"abstract_inverted_index":{"Because":[0],"the":[1,5,13,18,24,32,37,55,64,71,81,86,91,97,103,120,127,130,145,156,172,185],"traffic":[2,20,25,49,77,107,110,122,131,153,175],"flow":[3,111,132],"on":[4,31,43,54,161],"urban":[6,38,56,68,114],"road":[7,39,115],"network":[8,40,116],"continues":[9],"to":[10,12,27,126,142],"gather":[11],"congested":[14],"area,":[15],"which":[16],"exceeds":[17],"regional":[19,57,74,98,121,152],"carrying":[21],"capacity,":[22],"causing":[23],"condition":[26],"deteriorate":[28],"gradually.":[29],"Based":[30],"spatial":[33],"proximity":[34],"characteristics":[35],"of":[36,67,85,105,113,151,174],"and":[41,61,76,90,139,148,184],"relying":[42],"big":[44,162],"data":[45,66,112,163],"analysis":[46,164],"technology,":[47],"a":[48],"balance":[50],"control":[51],"method":[52],"based":[53,160],"capacity":[58,75,84,128],"is":[59,79,88,117,124,137,166,180,189],"designed":[60],"implemented.":[62],"Through":[63],"collected":[65],"vehicle":[69],"travel,":[70],"correlation":[72],"between":[73],"state":[78,99,149],"analyzed,":[80],"maximum":[82],"bearing":[83],"region":[87],"determined,":[89],"key":[92,134],"adjacent":[93,135],"areas":[94,136],"that":[95,171],"affect":[96],"are":[100],"identified.":[101],"In":[102],"process":[104],"actual":[106],"control,":[108],"real-time":[109],"collected.":[118],"When":[119],"volume":[123,176],"close":[125],"threshold,":[129],"in":[133,177],"controlled":[138],"dynamically":[140],"allocated":[141],"effectively":[143],"prevent":[144],"continuous":[146],"accumulation":[147],"deterioration":[150],"flow.":[154],"Finally,":[155],"algorithm":[157],"simulation":[158],"test":[159],"platform":[165],"conducted.":[167],"The":[168],"results":[169],"show":[170],"variance":[173],"each":[178],"area":[179],"reduced":[181,190],"by":[182,191],"15%":[183],"average":[186],"congestion":[187],"duration":[188],"12%.":[192]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
