{"id":"https://openalex.org/W2063260833","doi":"https://doi.org/10.1109/itsc.2014.6957964","title":"Real-time traffic control for sustainable urban living","display_name":"Real-time traffic control for sustainable urban living","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2063260833","doi":"https://doi.org/10.1109/itsc.2014.6957964","mag":"2063260833"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2014.6957964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6957964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","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/A5017238969","display_name":"Xiaofeng Xie","orcid":"https://orcid.org/0000-0002-7970-2974"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao-Feng Xie","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania","Robotics Institute, Carnegie Mellon Univ. Pittsburgh Pennsylvania, 15213 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon Univ. Pittsburgh Pennsylvania, 15213 USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043058554","display_name":"Stephen F. Smith","orcid":"https://orcid.org/0000-0002-7053-3166"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen F. Smith","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania","Robotics Institute, Carnegie Mellon Univ. Pittsburgh Pennsylvania, 15213 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon Univ. Pittsburgh Pennsylvania, 15213 USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101975372","display_name":"Ting-Wei Chen","orcid":"https://orcid.org/0009-0003-0590-4789"},"institutions":[{"id":"https://openalex.org/I118803816","display_name":"Liaoning University","ror":"https://ror.org/03xpwj629","country_code":"CN","type":"education","lineage":["https://openalex.org/I118803816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting-Wei Chen","raw_affiliation_strings":["College of Information, Liaoning University, Shenyang, Liaoning, China","College of Information, Liaoning University, Shenyang, China 110006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information, Liaoning University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I118803816"]},{"raw_affiliation_string":"College of Information, Liaoning University, Shenyang, China 110006","institution_ids":["https://openalex.org/I118803816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059293285","display_name":"Gregory J. Barlow","orcid":"https://orcid.org/0000-0003-3161-0541"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory J. Barlow","raw_affiliation_strings":["Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania","Robotics Institute, Carnegie Mellon Univ. Pittsburgh Pennsylvania, 15213 USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Robotics Institute, Carnegie Mellon Univ. Pittsburgh Pennsylvania, 15213 USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2311,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.83032643,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"81","issue":null,"first_page":"1863","last_page":"1868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":1.0,"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":1.0,"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":0.9977999925613403,"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/schedule","display_name":"Schedule","score":0.6609992384910583},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6537277102470398},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6328971982002258},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.546040415763855},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5309405326843262},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4747983515262604},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4518723487854004},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13689389824867249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07685288786888123}],"concepts":[{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.6609992384910583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6537277102470398},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6328971982002258},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.546040415763855},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5309405326843262},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4747983515262604},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4518723487854004},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13689389824867249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07685288786888123},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2014.6957964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2014.6957964","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International IEEE Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W353955742","https://openalex.org/W564723158","https://openalex.org/W571204304","https://openalex.org/W580401941","https://openalex.org/W613952074","https://openalex.org/W1891775291","https://openalex.org/W1982275772","https://openalex.org/W1985134130","https://openalex.org/W1996342609","https://openalex.org/W1996792795","https://openalex.org/W2009684499","https://openalex.org/W2111793028","https://openalex.org/W2135664737","https://openalex.org/W2139728973","https://openalex.org/W2149012699","https://openalex.org/W2157231424","https://openalex.org/W2167566647","https://openalex.org/W2395437357","https://openalex.org/W6611842583","https://openalex.org/W6615692367","https://openalex.org/W6616312785","https://openalex.org/W6616919132","https://openalex.org/W6619085901"],"related_works":["https://openalex.org/W566791342","https://openalex.org/W3136214354","https://openalex.org/W3172487415","https://openalex.org/W608736979","https://openalex.org/W631954924","https://openalex.org/W2148933895","https://openalex.org/W2565976481","https://openalex.org/W2386603188","https://openalex.org/W582212118","https://openalex.org/W648823617"],"abstract_inverted_index":{"Traffic":[0],"congestion":[1,42],"significantly":[2],"degrades":[3],"the":[4,65,106,121,147,150,168,174,180,183],"quality":[5,22],"of":[6,32,68,71,108,149,173,182],"life":[7],"in":[8,13,28,43,88,105,167,185],"urban":[9,24,44,78],"environments.":[10,45],"It":[11],"results":[12,141],"lost":[14],"time,":[15],"wasted":[16],"fuel":[17],"resources":[18],"and":[19,60,64,119,126,133],"reduced":[20],"air":[21],"for":[23,40],"residents.":[25],"Recent":[26],"work":[27,50],"real-time,":[29],"schedule-driven":[30,99],"control":[31,104],"traffic":[33,72,102,161],"signal":[34],"networks":[35],"has":[36,51,84],"introduced":[37,132],"new":[38],"possibilities":[39],"reducing":[41,62],"However":[46],"so":[47],"far,":[48],"this":[49,93,97,109],"focused":[52],"mainly":[53],"on":[54,61,116,135],"achieving":[55],"more":[56],"efficient":[57],"vehicle":[58],"flows":[59],"emissions,":[63],"broader":[66,110],"mobility":[67,111],"other":[69],"modes":[70],"that":[73],"are":[74,131,142,164],"central":[75],"to":[76,101,153,178],"sustainable":[77],"living":[79],"-":[80,83],"especially":[81],"pedestrians":[82,118],"not":[85],"been":[86],"emphasized":[87],"an":[89],"integrated":[90],"way.":[91],"In":[92],"paper,":[94],"we":[95],"extend":[96],"decentralized,":[98],"approach":[100,152,184],"network":[103],"direction":[107],"objective.":[112],"We":[113],"focus":[114],"specifically":[115],"accommodating":[117],"optimizing":[120],"delay":[122,156],"tradeoffs":[123,157],"between":[124],"vehicles":[125],"pedestrians.":[127],"Three":[128],"basic":[129],"extensions":[130],"evaluated":[134],"a":[136],"real-world":[137],"road":[138,176],"network.":[139],"Simulation":[140],"first":[143],"presented":[144],"which":[145],"analyze":[146],"ability":[148],"extended":[151],"achieve":[154],"good":[155],"under":[158],"different":[159],"pedestrian":[160],"conditions.":[162],"Tests":[163],"then":[165],"performed":[166],"field":[169],"at":[170],"selected":[171],"intersections":[172],"target":[175],"network,":[177],"demonstrate":[179],"effectiveness":[181],"operation.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}