{"id":"https://openalex.org/W4401452490","doi":"https://doi.org/10.1109/tits.2024.3438211","title":"Human-Inspired Anticipative Cruise Control for Enhancing Mixed Traffic Flow","display_name":"Human-Inspired Anticipative Cruise Control for Enhancing Mixed Traffic Flow","publication_year":2024,"publication_date":"2024-08-09","ids":{"openalex":"https://openalex.org/W4401452490","doi":"https://doi.org/10.1109/tits.2024.3438211"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3438211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3438211","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5019941514","display_name":"Zifei Nie","orcid":"https://orcid.org/0000-0001-5404-527X"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zifei Nie","raw_affiliation_strings":["Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka, Japan"],"raw_orcid":"https://orcid.org/0000-0001-5404-527X","affiliations":[{"raw_affiliation_string":"Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061489618","display_name":"Hooman Farzaneh","orcid":"https://orcid.org/0000-0002-3753-5928"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hooman Farzaneh","raw_affiliation_strings":["Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3753-5928","affiliations":[{"raw_affiliation_string":"Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135598925"],"apc_list":null,"apc_paid":null,"fwci":0.6926,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68060918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"25","issue":"11","first_page":"17335","last_page":"17351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9401000142097473,"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":0.9401000142097473,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cruise-control","display_name":"Cruise control","score":0.795242190361023},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.47538959980010986},{"id":"https://openalex.org/keywords/cruise","display_name":"Cruise","score":0.46786096692085266},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.42097893357276917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4175347089767456},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.41711774468421936},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.34099164605140686},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.315640389919281},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.1776338517665863},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12914496660232544},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.11090171337127686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.105628103017807},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.10369089245796204}],"concepts":[{"id":"https://openalex.org/C113168747","wikidata":"https://www.wikidata.org/wiki/Q507295","display_name":"Cruise control","level":3,"score":0.795242190361023},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.47538959980010986},{"id":"https://openalex.org/C2778821358","wikidata":"https://www.wikidata.org/wiki/Q2063640","display_name":"Cruise","level":2,"score":0.46786096692085266},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.42097893357276917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4175347089767456},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.41711774468421936},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.34099164605140686},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.315640389919281},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.1776338517665863},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12914496660232544},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.11090171337127686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.105628103017807},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.10369089245796204}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3438211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3438211","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2016087887","https://openalex.org/W2042059757","https://openalex.org/W2069757512","https://openalex.org/W2094132822","https://openalex.org/W2180102459","https://openalex.org/W2796582580","https://openalex.org/W2798500587","https://openalex.org/W2893413993","https://openalex.org/W2913367279","https://openalex.org/W2964492512","https://openalex.org/W2967875632","https://openalex.org/W3014009356","https://openalex.org/W3016165507","https://openalex.org/W3037320068","https://openalex.org/W3048758174","https://openalex.org/W3081754649","https://openalex.org/W3082508441","https://openalex.org/W3121031066","https://openalex.org/W3147346172","https://openalex.org/W3162920521","https://openalex.org/W3163341627","https://openalex.org/W3174033747","https://openalex.org/W3176912151","https://openalex.org/W3184964441","https://openalex.org/W4200427151","https://openalex.org/W4205426477","https://openalex.org/W4285125144","https://openalex.org/W4285294418","https://openalex.org/W4297969421","https://openalex.org/W4312942153","https://openalex.org/W4313598802","https://openalex.org/W4319596066","https://openalex.org/W4323922766","https://openalex.org/W4327661927","https://openalex.org/W4367359602","https://openalex.org/W4376851165","https://openalex.org/W4377971249","https://openalex.org/W4378804874","https://openalex.org/W4382203392","https://openalex.org/W4383113421","https://openalex.org/W4385301566","https://openalex.org/W4385923102"],"related_works":["https://openalex.org/W2744842631","https://openalex.org/W2928135228","https://openalex.org/W4236771224","https://openalex.org/W3124158568","https://openalex.org/W3123259448","https://openalex.org/W2121009346","https://openalex.org/W112087528","https://openalex.org/W2323976619","https://openalex.org/W2108392545","https://openalex.org/W2180469977"],"abstract_inverted_index":{"Introducing":[0],"the":[1,113,121,137,145,159,216,225],"human":[2,28,92,122,234],"driver\u2019s":[3,29,235],"intelligence":[4,242],"of":[5,120,140,148,218,240,243],"interpreting":[6],"and":[7,55,130],"anticipating":[8],"preceding":[9,133,150],"traffic":[10,68,105,134,161,197,205,210,220,247],"conditions":[11],"into":[12],"automated":[13,24,85],"driving":[14,20,25,95,123,180,193],"control":[15,31,82,115,172],"is":[16,174,222],"crucial":[17],"for":[18,57,83],"improved":[19],"experience.":[21],"Existing":[22],"human-like":[23,191],"systems":[26,38,63],"imitate":[27],"reactive":[30,94,114,192],"patterns":[32],"without":[33],"reflecting":[34],"anticipative":[35,80,100],"behaviors.":[36],"These":[37],"involve":[39],"either":[40],"online":[41],"solving":[42],"predictive":[43],"optimization":[44],"or":[45],"offline":[46],"training":[47],"machine":[48],"learning":[49,112,190],"techniques,":[50],"which":[51,143,228],"are":[52,64,110],"computationally":[53],"expensive":[54],"impractical":[56],"current":[58],"production":[59],"vehicles.":[60],"Additionally,":[61],"these":[62],"less":[65],"effective":[66],"in":[67,188],"environments":[69],"with":[70],"lean":[71],"vehicular":[72],"connectivity.":[73],"This":[74],"paper":[75],"proposes":[76],"a":[77,118,127,154,164,177],"practical":[78],"human-inspired":[79],"cruise":[81],"connected":[84,166],"vehicles":[86],"(CAVs)":[87],"that":[88,215],"not":[89],"only":[90],"respects":[91],"drivers\u2019":[93],"preferences":[96],"but":[97],"exploits":[98],"their":[99,241],"capabilities":[101],"to":[102,245],"enhance":[103],"mixed":[104],"flow.":[106],"Two":[107],"major":[108],"contributions":[109],"(i)":[111],"objective":[116],"from":[117,163,233],"segment":[119],"trajectory":[124],"based":[125],"on":[126,176],"recovery":[128],"matrix;":[129],"(ii)":[131],"data-enabled":[132],"anticipation":[135,156,226],"leveraging":[136],"behavioral":[138],"theory":[139],"linear":[141],"systems,":[142],"provides":[144],"estimated":[146],"motion":[147],"immediate":[149],"vehicle":[151,168],"(IPV)":[152],"at":[153],"personalized":[155],"horizon,":[157,227],"considering":[158],"downstream":[160],"trends":[162],"distant":[165],"human-driven":[167],"(CHV).":[169],"The":[170],"proposed":[171],"strategy":[173],"evaluated":[175],"human-in-the-loop":[178],"(HiL)":[179],"simulator.":[181],"Results":[182],"validate":[183],"its":[184],"real-time":[185],"implementation":[186],"potential":[187],"(a)":[189],"control;":[194],"(b)":[195],"improving":[196],"flow":[198],"energy":[199],"economy":[200],"by":[201,207,224,238],"4.58%;":[202],"(c)":[203],"enhancing":[204],"efficiency":[206],"attenuating":[208],"latent":[209],"fluctuations.":[211],"Moreover,":[212],"result":[213],"reveals":[214],"capability":[217],"mitigating":[219],"fluctuations":[221],"affected":[223],"can":[229],"be":[230],"adaptably":[231],"learned":[232],"timely":[236],"guidance":[237],"virtue":[239],"adaptability":[244],"dynamic":[246],"conditions.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
