{"id":"https://openalex.org/W2793959764","doi":"https://doi.org/10.1109/rcar.2017.8311897","title":"A human-like longitudinal decision model of intelligent vehicle at signalized intersections","display_name":"A human-like longitudinal decision model of intelligent vehicle at signalized intersections","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2793959764","doi":"https://doi.org/10.1109/rcar.2017.8311897","mag":"2793959764"},"language":"en","primary_location":{"id":"doi:10.1109/rcar.2017.8311897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar.2017.8311897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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/A5103053935","display_name":"Wen Cheng","orcid":"https://orcid.org/0000-0002-2285-2365"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I68581759","display_name":"China Academy of Launch Vehicle Technology","ror":"https://ror.org/012z62f48","country_code":"CN","type":"facility","lineage":["https://openalex.org/I68581759"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen Cheng","raw_affiliation_strings":["Intelligent Vehicle Research Center, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Vehicle Research Center, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I68581759","https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367301","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0001-6342-1337"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["Chinese University of Hong Kong and Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong and Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I4210116924","https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100560882","display_name":"Shaobin Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I68581759","display_name":"China Academy of Launch Vehicle Technology","ror":"https://ror.org/012z62f48","country_code":"CN","type":"facility","lineage":["https://openalex.org/I68581759"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobin Wu","raw_affiliation_strings":["Intelligent Vehicle Research Center, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Vehicle Research Center, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I68581759","https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024222994","display_name":"Guangming Xiong","orcid":"https://orcid.org/0000-0002-0914-1112"},"institutions":[{"id":"https://openalex.org/I68581759","display_name":"China Academy of Launch Vehicle Technology","ror":"https://ror.org/012z62f48","country_code":"CN","type":"facility","lineage":["https://openalex.org/I68581759"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangming Xiong","raw_affiliation_strings":["Intelligent Vehicle Research Center, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Vehicle Research Center, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I68581759","https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100665612","display_name":"Jianwei Gong","orcid":"https://orcid.org/0000-0003-4651-8473"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I68581759","display_name":"China Academy of Launch Vehicle Technology","ror":"https://ror.org/012z62f48","country_code":"CN","type":"facility","lineage":["https://openalex.org/I68581759"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Gong","raw_affiliation_strings":["Intelligent Vehicle Research Center, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Vehicle Research Center, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I68581759","https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103053935"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I68581759"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.27353877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"415","last_page":"420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9984999895095825,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9984999895095825,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9979000091552734,"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":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6634141206741333},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.6073070764541626},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5766013264656067},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5679113268852234},{"id":"https://openalex.org/keywords/decision-process","display_name":"Decision process","score":0.5030059218406677},{"id":"https://openalex.org/keywords/decision-model","display_name":"Decision model","score":0.4655293822288513},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4634629786014557},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.4543241560459137},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.43909192085266113},{"id":"https://openalex.org/keywords/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.4204557538032532},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.36033034324645996},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.3564053177833557},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.3497717082500458},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.34267979860305786},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.3113706409931183},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22870612144470215},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1318342387676239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0747060477733612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6634141206741333},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.6073070764541626},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5766013264656067},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5679113268852234},{"id":"https://openalex.org/C2984634286","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision process","level":2,"score":0.5030059218406677},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.4655293822288513},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4634629786014557},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4543241560459137},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.43909192085266113},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.4204557538032532},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.36033034324645996},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3564053177833557},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.3497717082500458},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.34267979860305786},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.3113706409931183},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22870612144470215},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1318342387676239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0747060477733612},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar.2017.8311897","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar.2017.8311897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1944340628","https://openalex.org/W1981206155","https://openalex.org/W2010725166","https://openalex.org/W2055501135","https://openalex.org/W2068175745","https://openalex.org/W2103880099","https://openalex.org/W2119567691","https://openalex.org/W2284958039","https://openalex.org/W2319880197","https://openalex.org/W2541604235","https://openalex.org/W6645761014"],"related_works":["https://openalex.org/W2096013579","https://openalex.org/W1589140671","https://openalex.org/W1760611253","https://openalex.org/W52153049","https://openalex.org/W2951545791","https://openalex.org/W1515117609","https://openalex.org/W2294884454","https://openalex.org/W4323315247","https://openalex.org/W3169161914","https://openalex.org/W2586549768"],"abstract_inverted_index":{"Recently":[0],"there":[1],"are":[2,140],"significant":[3],"researches":[4],"on":[5,62,81],"behavior":[6],"decision":[7],"of":[8,23,33,73,101,121,136],"automatic":[9],"driving":[10,83],"vehicle":[11],"at":[12,67],"intersections.":[13],"However,":[14],"previous":[15],"studies":[16],"pay":[17],"most":[18],"attention":[19],"to":[20,55,96,115],"the":[21,31,93,98,102,109,117,122,129,137,144],"issues":[22],"fuel":[24],"consumption,":[25],"efficiency":[26],"and":[27,35,50,70,133],"safety,":[28],"less":[29],"consider":[30,97],"feelings":[32],"occupants":[34],"drivers.":[36],"This":[37],"paper":[38],"proposes":[39],"a":[40,71],"Longitudinal":[41],"Decision":[42,64],"Model":[43],"(LDM)":[44],"which":[45,77],"can":[46],"take":[47,108],"comfort":[48],"indicator":[49,52],"timeliness":[51],"into":[53,113],"account":[54,114],"get":[56],"an":[57],"optimal":[58,118],"speed":[59,75],"profile":[60],"based":[61,80],"Markov":[63],"Process":[65],"(MDP)":[66],"signalized":[68],"intersections;":[69],"method":[72],"trapezoidal":[74],"planning":[76],"is":[78,85,92,131],"designed":[79],"human":[82],"process":[84],"embedded":[86],"in":[87],"this":[88],"model.":[89],"Not":[90],"only":[91],"model":[94,130],"able":[95],"immediate":[99],"effect":[100],"current":[103],"vehicle's":[104],"action":[105],"but":[106],"also":[107],"long-term":[110],"influencing":[111],"factors":[112],"obtain":[116],"traveling":[119],"scheme":[120],"vehicle.":[123],"The":[124],"experimental":[125],"results":[126,135],"show":[127],"that":[128],"reliable,":[132],"these":[134],"actual":[138],"implementation":[139],"highly":[141],"consistent":[142],"with":[143],"planning.":[145]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}