{"id":"https://openalex.org/W2587405850","doi":"https://doi.org/10.1109/smc.2016.7844344","title":"Dynamic potential-model-based feature for lane change prediction","display_name":"Dynamic potential-model-based feature for lane change prediction","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2587405850","doi":"https://doi.org/10.1109/smc.2016.7844344","mag":"2587405850"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2016.7844344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5030815105","display_name":"Hanwool Woo","orcid":"https://orcid.org/0000-0002-8586-4304"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hanwool Woo","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090163777","display_name":"Yonghoon Ji","orcid":"https://orcid.org/0000-0002-0828-6627"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yonghoon Ji","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042659970","display_name":"Hitoshi Kono","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hitoshi Kono","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089543204","display_name":"Yusuke Tamura","orcid":"https://orcid.org/0000-0003-2981-7578"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusuke Tamura","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008242416","display_name":"Yasuhide Kuroda","orcid":null},"institutions":[{"id":"https://openalex.org/I1282569916","display_name":"Mazda Motor Corporation (Japan)","ror":"https://ror.org/05hk1wv51","country_code":"JP","type":"company","lineage":["https://openalex.org/I1282569916"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuhide Kuroda","raw_affiliation_strings":["Mazda Motor Corporation, Yokohama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mazda Motor Corporation, Yokohama, Japan","institution_ids":["https://openalex.org/I1282569916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091172243","display_name":"Takashi Sugano","orcid":null},"institutions":[{"id":"https://openalex.org/I1282569916","display_name":"Mazda Motor Corporation (Japan)","ror":"https://ror.org/05hk1wv51","country_code":"JP","type":"company","lineage":["https://openalex.org/I1282569916"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Sugano","raw_affiliation_strings":["Mazda Motor Corporation, Hiroshima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mazda Motor Corporation, Hiroshima, Japan","institution_ids":["https://openalex.org/I1282569916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063942302","display_name":"Yasunori Yamamoto","orcid":"https://orcid.org/0000-0002-6943-6887"},"institutions":[{"id":"https://openalex.org/I1282569916","display_name":"Mazda Motor Corporation (Japan)","ror":"https://ror.org/05hk1wv51","country_code":"JP","type":"company","lineage":["https://openalex.org/I1282569916"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasunori Yamamoto","raw_affiliation_strings":["Mazda Motor Corporation, Hiroshima, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mazda Motor Corporation, Hiroshima, Japan","institution_ids":["https://openalex.org/I1282569916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021260328","display_name":"Atsushi Yamashita","orcid":"https://orcid.org/0000-0003-1280-069X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Atsushi Yamashita","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064103302","display_name":"Hajime Asama","orcid":"https://orcid.org/0000-0002-9482-497X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hajime Asama","raw_affiliation_strings":["The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5783,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86459111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"000838","last_page":"000843"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"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":0.9995999932289124,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9966999888420105,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9937999844551086,"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/feature","display_name":"Feature (linguistics)","score":0.7866799235343933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7461605072021484},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5494918823242188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5254955887794495},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4729863405227661},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4716562330722809},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.44998571276664734},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38454893231391907},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32840830087661743},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12417420744895935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08856076002120972}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7866799235343933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7461605072021484},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5494918823242188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5254955887794495},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4729863405227661},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4716562330722809},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.44998571276664734},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38454893231391907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32840830087661743},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12417420744895935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08856076002120972},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2016.7844344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844344","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1484769566","https://openalex.org/W1552412072","https://openalex.org/W2012849708","https://openalex.org/W2087529253","https://openalex.org/W2104425135","https://openalex.org/W2106293902","https://openalex.org/W2138997468","https://openalex.org/W2151226872","https://openalex.org/W2162966954","https://openalex.org/W2163590332","https://openalex.org/W6672449211"],"related_works":["https://openalex.org/W2811390910","https://openalex.org/W2146076056","https://openalex.org/W2144059113","https://openalex.org/W3003836766","https://openalex.org/W1964120219","https://openalex.org/W2136054869","https://openalex.org/W2000165426","https://openalex.org/W2385132419","https://openalex.org/W2546942002","https://openalex.org/W2016461833"],"abstract_inverted_index":{"We":[0,83,129],"propose":[1,70],"a":[2,40,45,71,78,89,139],"prediction":[3,127,132,164],"method":[4,154],"for":[5],"lane":[6,27,41,114,146],"changes":[7,28,95,115],"in":[8,112,158],"other":[9],"vehicles.":[10,82,105],"According":[11],"to":[12,57,69,80,125],"previous":[13,156],"research,":[14],"over":[15,144],"90":[16],"%":[17],"of":[18,65,77,103,160],"car":[19],"crashes":[20],"are":[21,29,116],"caused":[22],"by":[23],"human":[24],"mistakes,":[25],"and":[26,43,134,148,163],"the":[30,51,59,75,85,96,100,119,131,136,152],"main":[31,63],"factor.":[32],"Therefore,":[33],"if":[34],"an":[35],"intelligent":[36],"system":[37],"can":[38,55,122],"predict":[39],"change":[42],"alarm":[44],"driver":[46],"before":[47],"another":[48],"vehicle":[49,79],"crosses":[50],"center":[52],"line,":[53],"this":[54,66],"contribute":[56],"reducing":[58],"accident":[60],"rate.":[61],"The":[62,106],"contribution":[64],"work":[67],"is":[68],"new":[72,86,107,120],"feature":[73,87,108,121],"describing":[74],"relationship":[76],"adjacent":[81,104],"represent":[84],"using":[88,138],"dynamic":[90],"characteristic":[91],"potential":[92],"field":[93],"that":[94,151],"distribution":[97],"depending":[98],"on":[99],"relative":[101],"number":[102],"addresses":[109],"numerous":[110],"situations":[111],"which":[113],"made.":[117],"Adding":[118],"be":[123],"expected":[124],"improve":[126],"performance.":[128],"trained":[130],"model":[133],"evaluated":[135],"performance":[137],"real":[140],"traffic":[141],"dataset":[142],"with":[143],"900":[145],"changes,":[147],"we":[149],"confirmed":[150],"proposed":[153],"outperforms":[155],"methods":[157],"terms":[159],"both":[161],"accuracy":[162],"time.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}