{"id":"https://openalex.org/W2766963179","doi":"https://doi.org/10.1109/tcst.2017.2762288","title":"Probabilistic Anticipation and Control in Autonomous Car Following","display_name":"Probabilistic Anticipation and Control in Autonomous Car Following","publication_year":2017,"publication_date":"2017-10-30","ids":{"openalex":"https://openalex.org/W2766963179","doi":"https://doi.org/10.1109/tcst.2017.2762288","mag":"2766963179"},"language":"en","primary_location":{"id":"doi:10.1109/tcst.2017.2762288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcst.2017.2762288","pdf_url":null,"source":{"id":"https://openalex.org/S133363738","display_name":"IEEE Transactions on Control Systems Technology","issn_l":"1063-6536","issn":["1063-6536","1558-0865","2374-0159"],"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 Control Systems Technology","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/A5102844540","display_name":"Nianfeng Wan","orcid":"https://orcid.org/0000-0002-2804-8300"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nianfeng Wan","raw_affiliation_strings":["Department of Mechanical Engineering, Clemson University, Clemson, SC, USA"],"raw_orcid":"https://orcid.org/0000-0002-2804-8300","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Clemson University, Clemson, SC, USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374168","display_name":"Chen Zhang","orcid":"https://orcid.org/0000-0003-1791-5517"},"institutions":[{"id":"https://openalex.org/I1292974536","display_name":"Ford Motor Company (United States)","ror":"https://ror.org/00g2tkw06","country_code":"US","type":"company","lineage":["https://openalex.org/I1292974536"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Zhang","raw_affiliation_strings":["Ford Motor Company, Dearborn, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ford Motor Company, Dearborn, MI, USA","institution_ids":["https://openalex.org/I1292974536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078057958","display_name":"Ardalan Vahidi","orcid":"https://orcid.org/0000-0002-1669-3345"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ardalan Vahidi","raw_affiliation_strings":["Department of Mechanical Engineering, Clemson University, Clemson, SC, USA"],"raw_orcid":"https://orcid.org/0000-0002-1669-3345","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Clemson University, Clemson, SC, USA","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6736,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.93372689,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"27","issue":"1","first_page":"30","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9987999796867371,"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/T10370","display_name":"Traffic and Road Safety","score":0.9922999739646912,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.7457093596458435},{"id":"https://openalex.org/keywords/anticipation","display_name":"Anticipation (artificial intelligence)","score":0.7175307869911194},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.5882563591003418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5433933734893799},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5257885456085205},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.47754916548728943},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.45815029740333557},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.45755258202552795},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4315095543861389},{"id":"https://openalex.org/keywords/motion-control","display_name":"Motion control","score":0.41566723585128784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39366772770881653},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3902629613876343},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3710843324661255},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.35301291942596436},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3483268618583679},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22748461365699768},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.14788728952407837},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.09172672033309937}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7457093596458435},{"id":"https://openalex.org/C176777502","wikidata":"https://www.wikidata.org/wiki/Q4774623","display_name":"Anticipation (artificial intelligence)","level":2,"score":0.7175307869911194},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.5882563591003418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5433933734893799},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5257885456085205},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.47754916548728943},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.45815029740333557},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.45755258202552795},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4315095543861389},{"id":"https://openalex.org/C145565327","wikidata":"https://www.wikidata.org/wiki/Q852514","display_name":"Motion control","level":3,"score":0.41566723585128784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39366772770881653},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3902629613876343},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3710843324661255},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.35301291942596436},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3483268618583679},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22748461365699768},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.14788728952407837},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.09172672033309937},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcst.2017.2762288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcst.2017.2762288","pdf_url":null,"source":{"id":"https://openalex.org/S133363738","display_name":"IEEE Transactions on Control Systems Technology","issn_l":"1063-6536","issn":["1063-6536","1558-0865","2374-0159"],"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 Control Systems Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1481821451","https://openalex.org/W1605276600","https://openalex.org/W1979302879","https://openalex.org/W1986528915","https://openalex.org/W1995719837","https://openalex.org/W2007353886","https://openalex.org/W2007441083","https://openalex.org/W2007718857","https://openalex.org/W2010426780","https://openalex.org/W2036405443","https://openalex.org/W2106041333","https://openalex.org/W2107556430","https://openalex.org/W2124723444","https://openalex.org/W2129371268","https://openalex.org/W2132479764","https://openalex.org/W2158518844","https://openalex.org/W2170290380","https://openalex.org/W2258095608","https://openalex.org/W2272032446","https://openalex.org/W2276416778","https://openalex.org/W2481690165","https://openalex.org/W2487122920","https://openalex.org/W2521638050","https://openalex.org/W4250639944","https://openalex.org/W6652257686","https://openalex.org/W6684859510","https://openalex.org/W6727182889"],"related_works":["https://openalex.org/W2150761772","https://openalex.org/W4213201576","https://openalex.org/W1579870145","https://openalex.org/W1525751611","https://openalex.org/W4285549518","https://openalex.org/W2765459612","https://openalex.org/W2536531738","https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W128654086"],"abstract_inverted_index":{"Human-driven":[0],"and":[1,24,30,47,72,87],"autonomously":[2],"driven":[3],"cars":[4,15],"of":[5,13,40,43,51,53,69,105,126,134,136,140],"today":[6],"act":[7],"often":[8],"reactively":[9],"to":[10,21,97,122],"the":[11,14,41,44,49,54,66,94,103,106,124,127,131,141],"decisions":[12],"they":[16],"follow,":[17],"which":[18],"could":[19],"lead":[20],"uncomfortable,":[22],"inefficient,":[23],"sometimes":[25],"unsafe":[26],"situations":[27],"in":[28,146],"stop":[29],"go":[31],"traffic.":[32],"This":[33],"paper":[34],"proposes":[35],"methods":[36],"for":[37,48,92],"probabilistic":[38,132],"anticipation":[39],"motion":[42,52,77,125,135],"preceding":[45,70,107,137],"vehicle":[46,71,108],"control":[50,118],"ego":[55,128],"vehicle.":[56,138],"We":[57],"construct:":[58],"1)":[59],"a":[60,74,99,110],"Markov":[61],"chain":[62],"predictor":[63,78],"based":[64,79],"on":[65,80,102],"observed":[67],"behavior":[68],"2)":[73],"maximum":[75],"likelihood":[76],"historical":[81],"traffic":[82],"speed":[83],"at":[84],"different":[85],"locations":[86],"times.":[88],"Heuristics":[89],"are":[90],"proposed":[91,142],"combining":[93],"two":[95],"predictions":[96],"determine":[98],"probability":[100],"distribution":[101],"position":[104],"over":[109],"future":[111],"planning":[112],"horizon.":[113],"A":[114],"chance-constrained":[115],"model":[116],"predictive":[117],"framework":[119],"is":[120,144],"employed":[121],"optimize":[123],"vehicle,":[129],"given":[130],"prediction":[133],"Effectiveness":[139],"approach":[143],"evaluated":[145],"multiple":[147],"simulation":[148],"scenarios.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}