{"id":"https://openalex.org/W2741286274","doi":"https://doi.org/10.1109/ivs.2017.7995947","title":"V2I based cooperation between traffic signal and approaching automated vehicles","display_name":"V2I based cooperation between traffic signal and approaching automated vehicles","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2741286274","doi":"https://doi.org/10.1109/ivs.2017.7995947","mag":"2741286274"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2017.7995947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Intelligent Vehicles Symposium (IV)","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/A5045000586","display_name":"Biao Xu","orcid":"https://orcid.org/0000-0003-1247-1216"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Biao Xu","raw_affiliation_strings":["The Department of Automotive Engineering, Innovation Center of Electric Vehicles in Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Department of Automotive Engineering, Innovation Center of Electric Vehicles in Beijing, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087213835","display_name":"Xuegang Ban","orcid":"https://orcid.org/0000-0003-3605-971X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuegang Jeff Ban","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Innovation Center of Electric Vehicles in Beijing, Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Innovation Center of Electric Vehicles in Beijing, Seattle, WA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044476261","display_name":"Yougang Bian","orcid":"https://orcid.org/0000-0002-0346-7883"},"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":"Yougang Bian","raw_affiliation_strings":["Tsinghua University, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436368","display_name":"Jianqiang Wang","orcid":"https://orcid.org/0000-0003-4363-6108"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianqiang Wang","raw_affiliation_strings":["The Department of Automotive Engineering, Innovation Center of Electric Vehicles in Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Department of Automotive Engineering, Innovation Center of Electric Vehicles in Beijing, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031855986","display_name":"Keqiang Li","orcid":"https://orcid.org/0000-0002-9333-7416"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keqiang Li","raw_affiliation_strings":["The Department of Automotive Engineering, Innovation Center of Electric Vehicles in Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Department of Automotive Engineering, Innovation Center of Electric Vehicles in Beijing, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.9464,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.98887846,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1658","last_page":"1664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9998999834060669,"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":0.9998999834060669,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6741407513618469},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.6232698559761047},{"id":"https://openalex.org/keywords/brake","display_name":"Brake","score":0.5582634806632996},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.5577846169471741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5469284057617188},{"id":"https://openalex.org/keywords/traffic-signal","display_name":"Traffic signal","score":0.5101628303527832},{"id":"https://openalex.org/keywords/traffic-optimization","display_name":"Traffic optimization","score":0.47430896759033203},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4622694253921509},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3862031102180481},{"id":"https://openalex.org/keywords/floating-car-data","display_name":"Floating car data","score":0.3671891689300537},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33075931668281555},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.301981657743454},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.2404344379901886},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2207554280757904}],"concepts":[{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6741407513618469},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.6232698559761047},{"id":"https://openalex.org/C2780999251","wikidata":"https://www.wikidata.org/wiki/Q17022503","display_name":"Brake","level":2,"score":0.5582634806632996},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.5577846169471741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5469284057617188},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.5101628303527832},{"id":"https://openalex.org/C86266404","wikidata":"https://www.wikidata.org/wiki/Q7832512","display_name":"Traffic optimization","level":4,"score":0.47430896759033203},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4622694253921509},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3862031102180481},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.3671891689300537},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33075931668281555},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.301981657743454},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.2404344379901886},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2207554280757904},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2017.7995947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1549969567","https://openalex.org/W1928215159","https://openalex.org/W1985891092","https://openalex.org/W1987437394","https://openalex.org/W1988087504","https://openalex.org/W2001862990","https://openalex.org/W2034320159","https://openalex.org/W2086895508","https://openalex.org/W2089177739","https://openalex.org/W2112451069","https://openalex.org/W2118674895","https://openalex.org/W2137514195","https://openalex.org/W2146454297","https://openalex.org/W2154500405","https://openalex.org/W2157525649","https://openalex.org/W2161271108","https://openalex.org/W2178213869","https://openalex.org/W2268946947","https://openalex.org/W2343458236","https://openalex.org/W2492107292","https://openalex.org/W6632837212","https://openalex.org/W6676563108","https://openalex.org/W6723324442","https://openalex.org/W7001212498"],"related_works":["https://openalex.org/W2554897082","https://openalex.org/W4256033520","https://openalex.org/W2361775397","https://openalex.org/W3044060590","https://openalex.org/W2353372268","https://openalex.org/W2064543875","https://openalex.org/W3173853490","https://openalex.org/W3036188931","https://openalex.org/W2954760386","https://openalex.org/W3199078619"],"abstract_inverted_index":{"Existing":[0],"traffic":[1,31,39,51,65],"signal":[2,32,40,52,66,110],"optimization":[3,7,53],"and":[4,33,41,54,68,76,84,107,122],"vehicle":[5,81,123],"speed":[6,43,56],"at":[8],"signalized":[9],"intersections":[10],"cannot":[11],"work":[12],"together":[13],"for":[14],"the":[15,23,38,60,63,77,80,89,93,103,108,128],"lack":[16],"of":[17,49,58,119],"proper":[18],"cooperation":[19,29,47,105,129],"methods.":[20],"We":[21],"propose":[22],"V2I":[24],"(vehicle":[25],"to":[26,72,87,101],"infrastructure)":[27],"based":[28],"between":[30],"approaching":[34],"vehicles":[35],"which":[36,59],"optimizes":[37,79],"vehicles'":[42,69],"trajectories":[44],"simultaneously.":[45],"The":[46,113],"consists":[48],"roadside":[50],"onboard":[55],"control,":[57],"former":[61],"calculates":[62],"optimal":[64],"timing":[67],"arriving":[70],"time":[71,75],"minimize":[73,88],"trip":[74],"latter":[78],"engine":[82],"power":[83],"brake":[85],"force":[86],"fuel":[90,124],"consumption":[91],"in":[92],"whole":[94],"trip.":[95],"A":[96],"simulation":[97,114],"study":[98],"is":[99],"conducted":[100],"compare":[102],"proposed":[104],"method":[106],"actuated":[109],"control":[111],"method.":[112,130],"results":[115],"show":[116],"significant":[117],"improvement":[118],"transportation":[120],"efficiency":[121],"economy":[125],"by":[126],"using":[127]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":9}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
