{"id":"https://openalex.org/W7136366418","doi":"https://doi.org/10.1109/itsc60802.2025.11423666","title":"Safety Improvement of Car-Following for Connected Vehicle Flow Based on Individual Speed Guidance Upstream of a Lower Speed Limit Expressway Section","display_name":"Safety Improvement of Car-Following for Connected Vehicle Flow Based on Individual Speed Guidance Upstream of a Lower Speed Limit Expressway Section","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W7136366418","doi":"https://doi.org/10.1109/itsc60802.2025.11423666"},"language":null,"primary_location":{"id":"doi:10.1109/itsc60802.2025.11423666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5018496663","display_name":"Yi Cui","orcid":"https://orcid.org/0000-0001-9961-2354"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunkuan Cui","raw_affiliation_strings":["Tsinghua University,Dept. of Automation,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Dept. of Automation,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081663090","display_name":"Danya Yao","orcid":"https://orcid.org/0000-0001-5032-6322"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danya Yao","raw_affiliation_strings":["BNRist, Tsinghua University,Dept. of Automation,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University,Dept. of Automation,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129485383","display_name":"Xinrui Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinrui Ni","raw_affiliation_strings":["Tsinghua University,Dept. of Automation,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Dept. of Automation,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354631","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0002-0883-8233"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":["BNRist, Tsinghua University,Dept. of Automation,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University,Dept. of Automation,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035646855","display_name":"Wei Zhou","orcid":"https://orcid.org/0000-0002-5461-3617"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhou","raw_affiliation_strings":["BNRist, Tsinghua University,Dept. of Automation,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University,Dept. of Automation,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052645686","display_name":"Yuliang Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Qi","raw_affiliation_strings":["BNRist, Tsinghua University,Dept. of Automation,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University,Dept. of Automation,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111284139","display_name":"Ziyue Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158959","display_name":"Detection Limit (United States)","ror":"https://ror.org/03mcj3013","country_code":"US","type":"company","lineage":["https://openalex.org/I4210158959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziyue Zheng","raw_affiliation_strings":["Hebei Expressway Group Co., Ltd. Jingxiong Branch"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Expressway Group Co., Ltd. Jingxiong Branch","institution_ids":["https://openalex.org/I4210158959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128915429","display_name":"Hongjun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210158959","display_name":"Detection Limit (United States)","ror":"https://ror.org/03mcj3013","country_code":"US","type":"company","lineage":["https://openalex.org/I4210158959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongjun Zhang","raw_affiliation_strings":["Hebei Expressway Group Co., Ltd"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Expressway Group Co., Ltd","institution_ids":["https://openalex.org/I4210158959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.7889000177383423,"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":0.7889000177383423,"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":0.08860000222921371,"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"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.009800000116229057,"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/section","display_name":"Section (typography)","score":0.6432999968528748},{"id":"https://openalex.org/keywords/upstream","display_name":"Upstream (networking)","score":0.5776000022888184},{"id":"https://openalex.org/keywords/speed-limit","display_name":"Speed limit","score":0.5667999982833862},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5555999875068665},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5123999714851379}],"concepts":[{"id":"https://openalex.org/C2780129039","wikidata":"https://www.wikidata.org/wiki/Q1931107","display_name":"Section (typography)","level":2,"score":0.6432999968528748},{"id":"https://openalex.org/C191172861","wikidata":"https://www.wikidata.org/wiki/Q7899321","display_name":"Upstream (networking)","level":2,"score":0.5776000022888184},{"id":"https://openalex.org/C2780210587","wikidata":"https://www.wikidata.org/wiki/Q1077350","display_name":"Speed limit","level":2,"score":0.5667999982833862},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5555999875068665},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5123999714851379},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.40779998898506165},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.3846000134944916},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.37220001220703125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3578000068664551},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3513999879360199},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc60802.2025.11423666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8508485082","display_name":null,"funder_award_id":"62133002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1993411334","https://openalex.org/W2061545509","https://openalex.org/W2092187344","https://openalex.org/W2125624525","https://openalex.org/W2145339207","https://openalex.org/W2567867736","https://openalex.org/W2945374197","https://openalex.org/W2964256948","https://openalex.org/W4289260062","https://openalex.org/W4415465681"],"related_works":[],"abstract_inverted_index":{"The":[0,108],"deceleration":[1,157],"process":[2],"of":[3,6,15,60,82,151,175,186,211,214],"traffic":[4],"upstream":[5,153],"a":[7,51,105,148,198],"fixed":[8],"lower":[9],"speed":[10,39,83,114],"limit":[11],"bottleneck":[12],"is":[13,55,74,93,100,220],"one":[14],"the":[16,20,58,78,112,116,123,127,130,135,144,156,181,187,209,212,230],"important":[17],"situations":[18],"causing":[19],"major":[21],"accidents,":[22],"rear":[23],"end":[24],"collisions,":[25],"on":[26,42],"expressways.":[27],"Vehicles'":[28],"connectivity":[29],"and":[30,86,95,119,122,138,160,183],"cooperation":[31],"can":[32,146],"mitigate":[33],"these":[34],"risks":[35,205],"by":[36,167],"providing":[37],"individual":[38,61],"guidance":[40],"based":[41],"their":[43,170],"unique":[44],"motion":[45],"states.":[46],"An":[47],"environment":[48],"model":[49],"with":[50,203],"minimum":[52],"duration":[53],"value":[54],"built":[56],"considering":[57],"acceptability":[59],"suggested":[62,171],"speeds":[63],"for":[64,201,222],"approaching":[65],"connected":[66],"vehicles.":[67],"A":[68,173],"timely":[69],"updated":[70],"prediction":[71,131,224],"control":[72,80,132],"framework":[73,225],"developed":[75],"to":[76,102,129,226],"make":[77,147],"optimal":[79],"target":[81,133],"harmonization":[84],"clearer":[85],"more":[87],"intuitive.":[88],"As":[89],"this":[90],"optimization":[91,231],"problem":[92],"non-linear":[94],"high-dimensional,":[96],"deep":[97],"reinforcement":[98],"learning":[99],"used":[101],"help":[103],"get":[104],"feasible":[106],"solution.":[107],"state":[109],"space":[110],"includes":[111,126],"suggestion":[113],"at":[115],"last":[117],"step":[118],"its":[120],"duration,":[121],"reward":[124,216],"function":[125],"gap":[128],"in":[134,165,229],"framework.":[136],"Training":[137],"validation":[139,177],"simulation":[140],"experiments":[141],"show":[142,179],"that":[143,180],"strategy":[145],"specific":[149],"number":[150],"vehicles":[152],"driving":[154],"through":[155],"section":[158],"smoother":[159],"safer":[161],"without":[162],"much":[163],"loss":[164],"efficiency":[166],"flexibly":[168],"adjust":[169],"speeds.":[172],"series":[174],"random":[176],"scenarios":[178,194],"average":[182],"standard":[184],"deviation":[185],"related":[188],"safety":[189],"surrogate":[190],"measurements":[191],"over":[192],"those":[193,202],"are":[195],"both":[196],"improved":[197],"lot,":[199],"particularly":[200],"high":[204],"originally.":[206],"At":[207],"last,":[208],"analysis":[210],"effects":[213],"different":[215],"designs":[217],"demonstrates":[218],"it":[219],"necessary":[221],"our":[223],"be":[227],"included":[228],"process.":[232]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-17T00:00:00"}
