{"id":"https://openalex.org/W4408696337","doi":"https://doi.org/10.1109/itsc58415.2024.10919758","title":"A Simple and Efficient Speed Control Method for Autonomous Vehicles to Improve Traffic Performance","display_name":"A Simple and Efficient Speed Control Method for Autonomous Vehicles to Improve Traffic Performance","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408696337","doi":"https://doi.org/10.1109/itsc58415.2024.10919758"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10919758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International 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/A5114143905","display_name":"Jose Acedo Aguilar","orcid":null},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jose Acedo Aguilar","raw_affiliation_strings":["The University of Texas at El Paso,Department of Electrical and Computer Engineering,El Paso,Texas,79968"],"affiliations":[{"raw_affiliation_string":"The University of Texas at El Paso,Department of Electrical and Computer Engineering,El Paso,Texas,79968","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103205255","display_name":"Shian Wang","orcid":"https://orcid.org/0000-0003-1644-3570"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shian Wang","raw_affiliation_strings":["The University of Texas at El Paso,Department of Electrical and Computer Engineering,El Paso,Texas,79968"],"affiliations":[{"raw_affiliation_string":"The University of Texas at El Paso,Department of Electrical and Computer Engineering,El Paso,Texas,79968","institution_ids":["https://openalex.org/I164936912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5114143905"],"corresponding_institution_ids":["https://openalex.org/I164936912"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36498885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1348","last_page":"1353"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9660999774932861,"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":0.9660999774932861,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9097999930381775,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9038000106811523,"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/simple","display_name":"Simple (philosophy)","score":0.7632260322570801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6581416130065918},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.46748489141464233},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.37155142426490784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1785975992679596},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16909921169281006}],"concepts":[{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.7632260322570801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581416130065918},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.46748489141464233},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.37155142426490784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1785975992679596},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16909921169281006},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10919758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5699999928474426,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1600175910","https://openalex.org/W1965455100","https://openalex.org/W1983046890","https://openalex.org/W2007718857","https://openalex.org/W2048294994","https://openalex.org/W2087897077","https://openalex.org/W2101628261","https://openalex.org/W2139728973","https://openalex.org/W2166448956","https://openalex.org/W2487175822","https://openalex.org/W2611350544","https://openalex.org/W2742016042","https://openalex.org/W2905509591","https://openalex.org/W2906634842","https://openalex.org/W2962837449","https://openalex.org/W3037320068","https://openalex.org/W3100976139","https://openalex.org/W3111320405","https://openalex.org/W3195489388","https://openalex.org/W4283794790","https://openalex.org/W4292074773","https://openalex.org/W4308080214","https://openalex.org/W4312053942","https://openalex.org/W4315488524","https://openalex.org/W4365506082","https://openalex.org/W4390578049","https://openalex.org/W4391768733","https://openalex.org/W4393973269","https://openalex.org/W4400649281"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1585007175","https://openalex.org/W2382521049","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2144385241","https://openalex.org/W2358668433","https://openalex.org/W4396701345"],"abstract_inverted_index":{"It":[0,25],"has":[1],"been":[2],"previously":[3],"shown":[4],"that":[5,28,102,135,203],"human":[6,89],"driving":[7],"behavior":[8],"is":[9,26,122,207],"the":[10,20,30,56,73,104,107,113,148,184,204],"culprit":[11],"of":[12,22,43,59,70,106,115,143,150,167,172,195,216],"traffic":[13,23,133,157,211,226],"instability,":[14],"causing":[15],"stop-and-go":[16],"waves":[17],"even":[18,220],"in":[19,29,81,198,209],"absence":[21],"bottlenecks.":[24],"expected":[27],"future":[31],"with":[32,164],"technological":[33],"advancements,":[34],"intelligently":[35],"controlled":[36],"autonomous":[37],"vehicles":[38,77],"(AVs)":[39],"will":[40],"be":[41,137],"capable":[42],"smoothing":[44],"traffic,":[45,82],"reducing":[46],"energy":[47,214],"consumption,":[48],"and":[49,72,126,153,213],"improving":[50,210],"urban":[51],"mobility.":[52],"Leveraging":[53],"car-following":[54,98],"principles,":[55],"first":[57,175],"generation":[58],"AVs,":[60],"i.e.,":[61],"adaptive":[62],"cruise":[63],"control":[64],"(ACC)":[65],"vehicles,":[66],"provide":[67],"low":[68,222],"levels":[69],"automation":[71],"opportunity":[74],"to":[75,86,124],"utilize":[76],"as":[78],"mobile":[79],"actuators":[80],"making":[83],"it":[84,129],"possible":[85],"strategically":[87],"influence":[88],"driver":[90],"behaviors.":[91],"In":[92],"this":[93,151],"paper,":[94],"we":[95,159],"develop":[96],"a":[97,178,187,193,217],"controller":[99,121,206],"for":[100],"AVs":[101],"imitates":[103],"trajectory":[105],"immediate":[108],"preceding":[109],"vehicle":[110,181,218],"while":[111,183],"considering":[112],"safety":[114],"its":[116,154],"user.":[117],"The":[118,174,200],"proposed":[119],"AV":[120,205],"easy":[123],"synthesize":[125],"implement":[127],"since":[128],"requires":[130],"only":[131],"local":[132],"information":[134],"can":[136],"readily":[138],"obtained":[139],"via":[140],"onboard":[141],"sensors":[142],"an":[144],"AV.":[145],"To":[146],"demonstrate":[147],"viability":[149],"strategy":[152],"impact":[155],"on":[156],"flow,":[158],"simulate":[160],"two":[161],"distinct":[162,225],"scenarios":[163],"varying":[165],"degrees":[166],"market":[168],"penetration":[169],"rate":[170],"(MPR)":[171],"AVs.":[173],"scenario":[176],"considers":[177],"synthetic":[179],"lead":[180],"trajectory,":[182],"second":[185],"employs":[186],"real":[188],"speed":[189],"profile":[190],"gathered":[191],"from":[192],"section":[194],"Highway":[196],"55":[197],"Minnesota.":[199],"results":[201],"show":[202],"effective":[208],"smoothness":[212],"economy":[215],"platoon,":[219],"at":[221],"MPRs,":[223],"across":[224],"conditions.":[227]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
