{"id":"https://openalex.org/W3116826672","doi":"https://doi.org/10.1109/itsc45102.2020.9294587","title":"Do cut-ins matter: Assessing the impact of lane changing and string stability on traffic flow","display_name":"Do cut-ins matter: Assessing the impact of lane changing and string stability on traffic flow","publication_year":2020,"publication_date":"2020-09-20","ids":{"openalex":"https://openalex.org/W3116826672","doi":"https://doi.org/10.1109/itsc45102.2020.9294587","mag":"3116826672"},"language":"en","primary_location":{"id":"doi:10.1109/itsc45102.2020.9294587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc45102.2020.9294587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","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/A5055690807","display_name":"Mingfeng Shang","orcid":"https://orcid.org/0000-0003-1192-8472"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingfeng Shang","raw_affiliation_strings":["University of Minnesota, MN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, MN","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087367704","display_name":"Florian Hauer","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Hauer","raw_affiliation_strings":["Technical University of Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053975688","display_name":"Raphael Stern","orcid":"https://orcid.org/0000-0001-6633-7827"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raphael Stern","raw_affiliation_strings":["University of Minnesota, MN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota, MN","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1489,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49284413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10698","display_name":"Transportation Planning and Optimization","score":0.9918000102043152,"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/cruise-control","display_name":"Cruise control","score":0.8458724617958069},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.6097327470779419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5659950971603394},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4945692718029022},{"id":"https://openalex.org/keywords/cooperative-adaptive-cruise-control","display_name":"Cooperative Adaptive Cruise Control","score":0.4535750150680542},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.43792349100112915},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.4181714951992035},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4144037365913391},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2596372961997986},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.15746894478797913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13199567794799805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11669576168060303},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09203299880027771}],"concepts":[{"id":"https://openalex.org/C113168747","wikidata":"https://www.wikidata.org/wiki/Q507295","display_name":"Cruise control","level":3,"score":0.8458724617958069},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.6097327470779419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5659950971603394},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4945692718029022},{"id":"https://openalex.org/C2780150632","wikidata":"https://www.wikidata.org/wiki/Q5167872","display_name":"Cooperative Adaptive Cruise Control","level":4,"score":0.4535750150680542},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.43792349100112915},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.4181714951992035},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4144037365913391},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2596372961997986},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.15746894478797913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13199567794799805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11669576168060303},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09203299880027771},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/itsc45102.2020.9294587","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc45102.2020.9294587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309636","display_name":"University of Minnesota","ror":"https://ror.org/03grvy078"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W339147516","https://openalex.org/W615526564","https://openalex.org/W1819561190","https://openalex.org/W1941866442","https://openalex.org/W1965455100","https://openalex.org/W2008102069","https://openalex.org/W2010921714","https://openalex.org/W2011087178","https://openalex.org/W2013741239","https://openalex.org/W2022081648","https://openalex.org/W2062107013","https://openalex.org/W2067530543","https://openalex.org/W2075726458","https://openalex.org/W2114834408","https://openalex.org/W2119445797","https://openalex.org/W2137505842","https://openalex.org/W2146873903","https://openalex.org/W2147021187","https://openalex.org/W2152170081","https://openalex.org/W2493168586","https://openalex.org/W2555895109","https://openalex.org/W2593159012","https://openalex.org/W2611350544","https://openalex.org/W2742016042","https://openalex.org/W2896642734","https://openalex.org/W2963000646","https://openalex.org/W3149738779","https://openalex.org/W4238404176","https://openalex.org/W6611506076"],"related_works":["https://openalex.org/W2810760421","https://openalex.org/W4239082859","https://openalex.org/W2179921393","https://openalex.org/W2777953498","https://openalex.org/W2124723444","https://openalex.org/W2895992789","https://openalex.org/W1496120623","https://openalex.org/W4236771224","https://openalex.org/W2323976619","https://openalex.org/W3033637789"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"much":[3],"emphasis":[4],"has":[5,90],"been":[6,91],"placed":[7],"on":[8,40],"developing":[9],"driving":[10,65,172,197],"strategies":[11,38,66,198],"for":[12,53,160,168],"a":[13,106,125],"small":[14],"number":[15],"of":[16,36,46,63,78,108,147,174],"autonomous":[17],"vehicles":[18,26],"(AVs)":[19],"or":[20,49,195],"even":[21,222],"adaptive":[22],"cruise":[23],"control":[24],"(ACC)":[25],"to":[27,73,112,129,143],"stabilize":[28,200],"traffic":[29,33,103,140,202],"flow":[30,203],"and":[31,150,162],"reduce":[32],"oscillations.":[34,84],"Many":[35],"these":[37,64,151],"rely":[39],"more":[41,207,214],"passive":[42,208],"car":[43,119,157,209],"following":[44,120,158,210],"behavior":[45,173,211],"the":[47,54,57,79,99,113,145,201,213],"AV,":[48,80],"larger":[50],"time":[51],"gaps":[52],"AV":[55,194],"than":[56,212],"human-driven":[58,161],"traffic.":[59],"A":[60,132],"common":[61,156],"criticism":[62],"is":[67,96,141],"that":[68,115,167,193,199],"they":[69],"encourage":[70],"human":[71,175,216],"drivers":[72,176,217],"cut":[74],"in":[75,76,101,138,206],"front":[77],"which":[81],"induces":[82,225],"additional":[83,226],"However,":[85],"until":[86],"now,":[87],"this":[88],"claim":[89],"largely":[92],"untested.":[93],"Specifically,":[94],"it":[95,224],"unclear":[97],"how":[98],"increase":[100,114],"oscillatory":[102],"conditions":[104],"as":[105],"result":[107],"increased":[109,183],"cut-ins":[110,152,184],"compares":[111],"results":[116],"from":[117],"poor":[118,171],"behavior.":[121],"This":[122],"study":[123],"presents":[124],"simple,":[126],"simulationbased":[127],"analysis":[128],"answer":[130],"this.":[131],"large":[133],"vehicle":[134],"trajectory":[135],"database":[136],"recorded":[137],"real":[139],"analysed":[142],"understand":[144],"characteristics":[146],"typical":[148,169],"cut-ins,":[149,170],"are":[153],"simulated":[154],"using":[155],"models":[159],"ACC":[163,196],"vehicles.":[164],"We":[165],"find":[166],"increases":[177,185],"oscillations":[178,186],"by":[179,187,204],"roughly":[180],"156%,":[181],"while":[182],"only":[188],"77%.":[189],"Thus,":[190],"we":[191],"conclude":[192],"engaging":[205],"aggressive":[215],"can":[218],"still":[219],"be":[220],"beneficial,":[221],"if":[223],"cut-in":[227],"maneuvers.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
