{"id":"https://openalex.org/W2100620022","doi":"https://doi.org/10.1109/itsc.2009.5309847","title":"Stabilization of traffic flow based on multi-anticipative intelligent driver model","display_name":"Stabilization of traffic flow based on multi-anticipative intelligent driver model","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2100620022","doi":"https://doi.org/10.1109/itsc.2009.5309847","mag":"2100620022"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2009.5309847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2009.5309847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","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/A5031896665","display_name":"Xiqun Chen","orcid":"https://orcid.org/0000-0001-8285-084X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiqun Chen","raw_affiliation_strings":["Department of Civil Engineering, Institute of Transportation Engineering, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Institute of Transportation Engineering, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031660096","display_name":"Ruimin Li","orcid":"https://orcid.org/0000-0002-3405-1143"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruimin Li","raw_affiliation_strings":["Department of Civil Engineering, Institute of Transportation Engineering, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Institute of Transportation Engineering, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048142877","display_name":"Weijun Xie","orcid":"https://orcid.org/0000-0001-5157-1194"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weijun Xie","raw_affiliation_strings":["Department of Civil Engineering, Institute of Transportation Engineering, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Institute of Transportation Engineering, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112110510","display_name":"Qixin Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qixin Shi","raw_affiliation_strings":["Department of Civil Engineering, Institute of Transportation Engineering, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Institute of Transportation Engineering, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.17428995,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":1.0,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9987999796867371,"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":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.7553022503852844},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.668343722820282},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.6155596375465393},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.6121604442596436},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5702009201049805},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5219839811325073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5160183906555176},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4501511752605438},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.2442406713962555},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2225075364112854},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.22244682908058167},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.12274906039237976},{"id":"https://openalex.org/keywords/classical-mechanics","display_name":"Classical mechanics","score":0.09982579946517944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09159556031227112}],"concepts":[{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.7553022503852844},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.668343722820282},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.6155596375465393},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.6121604442596436},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5702009201049805},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5219839811325073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5160183906555176},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4501511752605438},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.2442406713962555},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2225075364112854},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.22244682908058167},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.12274906039237976},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.09982579946517944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09159556031227112},{"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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2009.5309847","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2009.5309847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 12th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1939006355","https://openalex.org/W1965455100","https://openalex.org/W1968719911","https://openalex.org/W1972418883","https://openalex.org/W1978092693","https://openalex.org/W2008039411","https://openalex.org/W2012739529","https://openalex.org/W2024408054","https://openalex.org/W2041923840","https://openalex.org/W2066695803","https://openalex.org/W2077197253","https://openalex.org/W2089080831","https://openalex.org/W2107556430","https://openalex.org/W2125335747"],"related_works":["https://openalex.org/W1989791859","https://openalex.org/W2390829436","https://openalex.org/W1971289376","https://openalex.org/W2565094479","https://openalex.org/W602859758","https://openalex.org/W2379101322","https://openalex.org/W2726447019","https://openalex.org/W2016976804","https://openalex.org/W2023869315","https://openalex.org/W4382406683"],"abstract_inverted_index":{"This":[0],"paper":[1],"extends":[2],"the":[3,18,21,26,28,37,40,44,57,66,70,82,99,103,109,116,120,124,127,130,134,151,161],"intelligent":[4,72],"driver":[5,73],"model":[6,74],"(IDM)":[7],"with":[8,90,160],"a":[9,13,54,78,87,113],"multi-anticipative":[10,71,104,152],"behavior":[11,105],"and":[12,30,47,53,106,137,140],"reaction":[14,125],"delay":[15],"to":[16,62],"describe":[17],"motion":[19],"of":[20,33,39,56,69,115,119,156],"dynamical":[22],"traffic":[23,84,144],"flow.":[24],"In":[25],"approach,":[27],"acceleration":[29],"deceleration":[31],"manipulations":[32],"drivers":[34],"depend":[35],"on":[36,86],"velocity":[38,48,136],"subject":[41],"vehicle":[42,51],"n,":[43],"netto":[45,138],"gaps":[46],"differences":[49],"between":[50],"n":[52],"range":[55],"preceding":[58],"vehicles":[59],"from":[60],"n-1":[61],"n-m.":[63],"We":[64],"analyze":[65],"linear":[67,163],"stability":[68,96,164],"(MIDM)":[75],"by":[76,149],"introducing":[77,150],"small":[79],"disturbance":[80],"into":[81],"homogeneous":[83,135],"flow":[85],"single":[88],"lane":[89],"open":[91],"boundaries.":[92],"The":[93,143,154],"induced":[94],"neutral":[95],"curve":[97],"in":[98],"phase":[100],"diagrams":[101],"reflects":[102],"shows":[107],"that":[108],"stable":[110],"region":[111],"is":[112],"result":[114],"collective":[117],"effects":[118],"desired":[121],"time":[122],"gap,":[123,139],"time,":[126],"maximum":[128,131],"acceleration,":[129],"anticipative":[132],"vehicles,":[133],"so":[141],"on.":[142],"congestions":[145],"can":[146],"be":[147],"suppressed":[148],"interactions.":[153],"results":[155],"numerical":[157],"simulation":[158],"coincide":[159],"theoretical":[162],"analysis.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}