{"id":"https://openalex.org/W2770052664","doi":"https://doi.org/10.1145/3132340.3132345","title":"QoS-oriented Management of Multi-vehicle Coordinated Cruise Control in Uncertain Environments","display_name":"QoS-oriented Management of Multi-vehicle Coordinated Cruise Control in Uncertain Environments","publication_year":2017,"publication_date":"2017-11-15","ids":{"openalex":"https://openalex.org/W2770052664","doi":"https://doi.org/10.1145/3132340.3132345","mag":"2770052664"},"language":"en","primary_location":{"id":"doi:10.1145/3132340.3132345","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132340.3132345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications","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/A5014348074","display_name":"Arun Adiththan","orcid":null},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arun Adiththan","raw_affiliation_strings":["City University of New York, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"City University of New York, New York, NY, USA","institution_ids":["https://openalex.org/I174216632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101724286","display_name":"Kaliappa Ravindran","orcid":null},"institutions":[{"id":"https://openalex.org/I174216632","display_name":"City University of New York","ror":"https://ror.org/00453a208","country_code":"US","type":"education","lineage":["https://openalex.org/I174216632"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaliappa Ravindran","raw_affiliation_strings":["City University of New York, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"City University of New York, New York, NY, USA","institution_ids":["https://openalex.org/I174216632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014348074"],"corresponding_institution_ids":["https://openalex.org/I174216632"],"apc_list":null,"apc_paid":null,"fwci":0.2253,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52887248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10933","display_name":"Real-Time Systems Scheduling","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10933","display_name":"Real-Time Systems Scheduling","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10142","display_name":"Formal Methods in Verification","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.8113644123077393},{"id":"https://openalex.org/keywords/cruise-control","display_name":"Cruise control","score":0.7073485851287842},{"id":"https://openalex.org/keywords/cruise","display_name":"Cruise","score":0.6082714200019836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5952101945877075},{"id":"https://openalex.org/keywords/agile-software-development","display_name":"Agile software development","score":0.5894036293029785},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.547487199306488},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.499436616897583},{"id":"https://openalex.org/keywords/torque","display_name":"Torque","score":0.45471832156181335},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.4137972891330719},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36805784702301025},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3225022554397583},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2924678325653076},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.28909605741500854}],"concepts":[{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.8113644123077393},{"id":"https://openalex.org/C113168747","wikidata":"https://www.wikidata.org/wiki/Q507295","display_name":"Cruise control","level":3,"score":0.7073485851287842},{"id":"https://openalex.org/C2778821358","wikidata":"https://www.wikidata.org/wiki/Q2063640","display_name":"Cruise","level":2,"score":0.6082714200019836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5952101945877075},{"id":"https://openalex.org/C14185376","wikidata":"https://www.wikidata.org/wiki/Q30232","display_name":"Agile software development","level":2,"score":0.5894036293029785},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.547487199306488},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.499436616897583},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.45471832156181335},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.4137972891330719},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36805784702301025},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3225022554397583},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2924678325653076},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28909605741500854},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3132340.3132345","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132340.3132345","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications","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":16,"referenced_works":["https://openalex.org/W154665963","https://openalex.org/W924900304","https://openalex.org/W2027965154","https://openalex.org/W2056608921","https://openalex.org/W2095671893","https://openalex.org/W2114940301","https://openalex.org/W2123295825","https://openalex.org/W2136189599","https://openalex.org/W2144530326","https://openalex.org/W2145071552","https://openalex.org/W2292419127","https://openalex.org/W2402747980","https://openalex.org/W2493042089","https://openalex.org/W2751593060","https://openalex.org/W2761808933","https://openalex.org/W6675118379"],"related_works":["https://openalex.org/W2744842631","https://openalex.org/W2928135228","https://openalex.org/W2604794472","https://openalex.org/W2269548070","https://openalex.org/W3043953383","https://openalex.org/W4226493551","https://openalex.org/W2461205088","https://openalex.org/W2380609026","https://openalex.org/W3211504322","https://openalex.org/W2389392067"],"abstract_inverted_index":{"Networked":[0],"embedded":[1],"software":[2],"systems":[3],"incorporate":[4],"varying":[5],"degrees":[6],"of":[7,17,23,44,77,104,114,138],"adaptation":[8],"behavior":[9],"to":[10,55,69,91],"sustain":[11],"their":[12,82],"operations":[13],"with":[14,117],"acceptable":[15],"quality":[16],"service":[18],"(QoS),":[19],"in":[20,30,60,95],"the":[21,74,101,115,135],"face":[22],"hostile":[24,92],"external":[25,93],"events":[26,94],"(e.g.,":[27],"resource":[28],"outages":[29],"a":[31,45,57,64,70,105,109,111,130,139],"cloud,":[32],"road":[33,66,124],"slipperiness":[34],"faced":[35],"by":[36,108],"cars).":[37],"A":[38],"highly":[39],"agile":[40],"cruise":[41,142],"control":[42,143],"system":[43,107,116],"car,":[46],"for":[47],"e.g.,":[48],"may":[49],"dynamically":[50],"adjust":[51],"its":[52],"controller":[53],"parameters":[54],"generate":[56],"higher-than-normal":[58],"increase":[59],"torque":[61],"when":[62],"encountering":[63],"higher":[65],"elevation":[67,125],"(relative":[68],"basic":[71],"controller).":[72],"With":[73],"high":[75],"complexity":[76],"such":[78],"dynamic":[79],"adaptive":[80,141],"systems,":[81],"QoS":[83,97,102,136],"capability":[84,103],"depends":[85],"on":[86],"how":[87],"well":[88],"they":[89],"respond":[90],"meeting":[96],"specs.":[98],"We":[99],"benchmark":[100],"networked":[106],"stress-testing":[110],"simulation":[112],"model":[113],"artificially":[118],"injected":[119],"environment":[120],"conditions":[121],"(such":[122],"as":[123],"and":[126],"message":[127],"loss).":[128],"As":[129],"case":[131],"study,":[132],"we":[133],"describe":[134],"assessment":[137],"multi-vehicle":[140],"system.":[144]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
