{"id":"https://openalex.org/W2742600041","doi":"https://doi.org/10.1109/mtits.2017.8005678","title":"Modeling tactical lane-change behavior for automated vehicles: A supervised machine learning approach","display_name":"Modeling tactical lane-change behavior for automated vehicles: A supervised machine learning approach","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2742600041","doi":"https://doi.org/10.1109/mtits.2017.8005678","mag":"2742600041"},"language":"en","primary_location":{"id":"doi:10.1109/mtits.2017.8005678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mtits.2017.8005678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","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/A5052656742","display_name":"Nassim Motamedidehkordi","orcid":"https://orcid.org/0000-0002-9136-3485"},"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":"Nassim Motamedidehkordi","raw_affiliation_strings":["Chair of Traffic Engineering and Control, Technical University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Traffic Engineering and Control, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007764393","display_name":"Sasan Amini","orcid":"https://orcid.org/0000-0002-1675-4945"},"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":"Sasan Amini","raw_affiliation_strings":["Chair of Traffic Engineering and Control, Technical University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Traffic Engineering and Control, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002724563","display_name":"Silja Hoffmann","orcid":"https://orcid.org/0000-0002-0499-0342"},"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":"Silja Hoffmann","raw_affiliation_strings":["Chair of Traffic Engineering and Control, Technical University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Traffic Engineering and Control, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065690575","display_name":"Fritz Busch","orcid":"https://orcid.org/0000-0002-2194-548X"},"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":"Fritz Busch","raw_affiliation_strings":["Chair of Traffic Engineering and Control, Technical University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chair of Traffic Engineering and Control, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023336496","display_name":"Mustika Riziki Fitriyanti","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":"Mustika Riziki Fitriyanti","raw_affiliation_strings":["Department of Informatics, Technical University of Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7858,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.86927129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"268","last_page":"273"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9994999766349792,"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/T10524","display_name":"Traffic control and management","score":0.9987000226974487,"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/T10370","display_name":"Traffic and Road Safety","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/random-forest","display_name":"Random forest","score":0.8333768844604492},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7846354246139526},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7729035019874573},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7295089960098267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7210961580276489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6941295862197876},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6514308452606201},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5246646404266357},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.45816001296043396},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19699087738990784}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8333768844604492},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7846354246139526},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7729035019874573},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7295089960098267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7210961580276489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941295862197876},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6514308452606201},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5246646404266357},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.45816001296043396},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19699087738990784}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mtits.2017.8005678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mtits.2017.8005678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W104927110","https://openalex.org/W198912494","https://openalex.org/W630739203","https://openalex.org/W1027473064","https://openalex.org/W1527702126","https://openalex.org/W1560949607","https://openalex.org/W1728842521","https://openalex.org/W1833552892","https://openalex.org/W1995336017","https://openalex.org/W2011931151","https://openalex.org/W2013608457","https://openalex.org/W2015629195","https://openalex.org/W2029952693","https://openalex.org/W2032083123","https://openalex.org/W2033024690","https://openalex.org/W2056132907","https://openalex.org/W2070554565","https://openalex.org/W2090023516","https://openalex.org/W2090403203","https://openalex.org/W2098774185","https://openalex.org/W2101234009","https://openalex.org/W2111876879","https://openalex.org/W2145989380","https://openalex.org/W2161686298","https://openalex.org/W2170908920","https://openalex.org/W2565521391","https://openalex.org/W2911964244","https://openalex.org/W4230674625","https://openalex.org/W4230900352","https://openalex.org/W4236137412","https://openalex.org/W6674884181","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W3210764983","https://openalex.org/W4367335949","https://openalex.org/W3089416646","https://openalex.org/W4380048833","https://openalex.org/W4285162676","https://openalex.org/W3036529732","https://openalex.org/W4382052559"],"abstract_inverted_index":{"In":[0,82],"recent":[1],"years,":[2],"due":[3],"to":[4,56,59,95,122,140],"growing":[5],"interest":[6],"in":[7,183],"automated":[8],"driving,":[9],"the":[10,15,21,50,78,87,98,105,113,116,120,123,128,135,142,180,185],"need":[11],"for":[12,166],"better":[13,96],"understanding":[14],"humans":[16],"driving":[17,53],"behavior,":[18,27],"and":[19,24,46,58,158,176],"particularly":[20],"lane":[22,35,99,186],"changing":[23,36],"car":[25],"following":[26],"has":[28,37],"further":[29],"increased.":[30],"Despite":[31],"its":[32],"great":[33],"importance,":[34],"not":[38],"been":[39],"studied":[40],"as":[41,43],"extensively":[42],"longitudinal":[44],"behavior":[45,54],"remains":[47],"one":[48],"of":[49,89,102,130,164,189],"most":[51,121],"challenging":[52],"maneuvers":[55],"understand":[57,97],"predict.":[60],"Drivers":[61],"take":[62],"into":[63],"account":[64],"many":[65],"factors":[66],"while":[67],"making":[68],"a":[69],"tactical":[70],"decision,":[71],"which":[72,118],"cannot":[73],"be":[74],"precisely":[75],"represented":[76],"by":[77],"conventional":[79],"rule-based":[80],"models.":[81],"this":[83,109],"paper,":[84],"we":[85],"compare":[86],"results":[88],"different":[90],"supervised":[91],"machine":[92],"learning":[93],"classifiers":[94],"change":[100,187],"decision":[101,154,174],"drivers":[103],"using":[104],"NGSIM":[106],"database.":[107],"For":[108],"aim,":[110],"after":[111],"choosing":[112],"relevant":[114],"features,":[115],"ones":[117],"contribute":[119],"model":[124,143],"were":[125],"chosen":[126],"with":[127,144],"help":[129],"feature":[131],"importance":[132],"analysis.":[133],"Afterward,":[134],"training":[136],"dataset":[137,168],"was":[138],"used":[139],"train":[141],"naive":[145],"Bayes,":[146],"support":[147],"vector":[148],"machines,":[149],"logic":[150],"regression,":[151],"nearest":[152],"neighborhoods,":[153],"trees,":[155],"extra":[156,171],"trees":[157,172,175],"random":[159,177],"forest":[160,178],"classifiers.":[161],"The":[162],"accuracy":[163],"predictions":[165],"test":[167],"indicates":[169],"that":[170],"classifier,":[173],"had":[179],"best":[181],"performance":[182],"predicting":[184],"decisions":[188],"human":[190],"drivers.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2018,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}