{"id":"https://openalex.org/W2786018516","doi":"https://doi.org/10.1109/vtcfall.2017.8288307","title":"Impact of Varying Penetration Rate of Intelligent Routing Capabilities on Vehicular Traffic Flow","display_name":"Impact of Varying Penetration Rate of Intelligent Routing Capabilities on Vehicular Traffic Flow","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2786018516","doi":"https://doi.org/10.1109/vtcfall.2017.8288307","mag":"2786018516"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2017.8288307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2017.8288307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","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/A5046522642","display_name":"Christian Backfrieder","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136249","display_name":"University of Applied Sciences Upper Austria","ror":"https://ror.org/03jqp6d56","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210136249"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Christian Backfrieder","raw_affiliation_strings":["Research Group Networks and Mobility, UAS Upper Austria, Hagenberg, Austria"],"affiliations":[{"raw_affiliation_string":"Research Group Networks and Mobility, UAS Upper Austria, Hagenberg, Austria","institution_ids":["https://openalex.org/I4210136249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010381639","display_name":"Manuel Lindorfer","orcid":"https://orcid.org/0000-0002-2247-2004"},"institutions":[{"id":"https://openalex.org/I4210136249","display_name":"University of Applied Sciences Upper Austria","ror":"https://ror.org/03jqp6d56","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210136249"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Manuel Lindorfer","raw_affiliation_strings":["Research Group Networks and Mobility, UAS Upper Austria, Hagenberg, Austria"],"affiliations":[{"raw_affiliation_string":"Research Group Networks and Mobility, UAS Upper Austria, Hagenberg, Austria","institution_ids":["https://openalex.org/I4210136249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112802044","display_name":"Christoph Mecklenbraeuker","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Christoph F. Mecklenbraeuker","raw_affiliation_strings":["Technische Universitat Wien, Wien, Wien, AT"],"affiliations":[{"raw_affiliation_string":"Technische Universitat Wien, Wien, Wien, AT","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082250031","display_name":"Gerald Ostermayer","orcid":"https://orcid.org/0000-0003-2124-8008"},"institutions":[{"id":"https://openalex.org/I4210136249","display_name":"University of Applied Sciences Upper Austria","ror":"https://ror.org/03jqp6d56","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210136249"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Gerald Ostermayer","raw_affiliation_strings":["Research Group Networks and Mobility, UAS Upper Austria, Hagenberg, Austria"],"affiliations":[{"raw_affiliation_string":"Research Group Networks and Mobility, UAS Upper Austria, Hagenberg, Austria","institution_ids":["https://openalex.org/I4210136249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046522642"],"corresponding_institution_ids":["https://openalex.org/I4210136249"],"apc_list":null,"apc_paid":null,"fwci":0.4568,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70298666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9990000128746033,"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":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/penetration","display_name":"Penetration (warfare)","score":0.6401825547218323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5431716442108154},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3882603049278259},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1867562234401703},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.11493104696273804}],"concepts":[{"id":"https://openalex.org/C80107235","wikidata":"https://www.wikidata.org/wiki/Q7162625","display_name":"Penetration (warfare)","level":2,"score":0.6401825547218323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5431716442108154},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3882603049278259},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1867562234401703},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.11493104696273804}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2017.8288307","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2017.8288307","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W622208735","https://openalex.org/W1582660757","https://openalex.org/W1726113160","https://openalex.org/W1972314457","https://openalex.org/W1989750313","https://openalex.org/W2006760229","https://openalex.org/W2040740122","https://openalex.org/W2056877664","https://openalex.org/W2100522105","https://openalex.org/W2102664783","https://openalex.org/W2116514483","https://openalex.org/W2139115648","https://openalex.org/W2152374007","https://openalex.org/W2168463792","https://openalex.org/W2171272271","https://openalex.org/W2473986388","https://openalex.org/W2500258836","https://openalex.org/W2530263920","https://openalex.org/W2588393772","https://openalex.org/W3104790740","https://openalex.org/W3106592497","https://openalex.org/W6728070821","https://openalex.org/W6785608707"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Beyond":[0],"question,":[1],"the":[2,22,60,65,71,90,113,129,155,175,214],"improvement":[3,212],"of":[4,59,67,97,131,148,157,161,177,186,213],"traffic":[5,20,49,84,194],"flow":[6],"is":[7,78,188],"a":[8,33,106,126,144,158,178,183,206],"hot":[9],"topic":[10],"in":[11,37,41,57,70,80,143],"current":[12],"research,":[13],"and":[14,69,117,137,165,196,217],"numerous":[15],"proposals":[16],"how":[17],"to":[18,43,53,82,105,115,168,190,210],"optimize":[19],"on":[21,154],"roads":[23],"exist.":[24],"Distributed":[25],"communication":[26,77,103,166],"systems":[27],"have":[28,112],"come":[29],"up":[30],"recently":[31],"as":[32,220,222],"very":[34,93,145],"important":[35],"mechanism":[36],"modern":[38],"road":[39],"networks":[40],"order":[42,81],"deal":[44],"with":[45,102,163],"this":[46],"issue.":[47],"Also,":[48],"delay":[50],"problems":[51],"due":[52],"jams":[54,85],"are":[55,100,171],"manifesting":[56],"many":[58],"urban":[61],"centers":[62],"worldwide.":[63],"With":[64],"objective":[66],"decreasing":[68],"best":[72],"case":[73],"avoiding":[74],"congestion,":[75],"V2X":[76],"exploited":[79],"counteract":[83],"by":[86,198],"intelligent":[87],"rerouting.":[88],"Notwithstanding,":[89],"transition":[91],"from":[92,205],"low":[94],"penetration":[95,130,202],"rates":[96,203],"vehicles":[98,111,133,162,187],"that":[99,200],"equipped":[101],"functionality":[104],"situation":[107],"where":[108],"basically":[109],"all":[110],"capability":[114],"send":[116],"receive":[118],"information":[119],"will":[120,134,141],"not":[121],"be":[122],"made":[123],"overnight.":[124],"To":[125],"greater":[127],"degree,":[128],"connected":[132],"increase":[135],"more":[136],"more,":[138],"which":[139],"further":[140],"result":[142],"long":[146],"period":[147],"mixed":[149],"composition.":[150],"This":[151],"paper":[152],"focuses":[153],"analysis":[156],"variable":[159],"ratio":[160],"routing":[164],"capabilities":[167],"those":[169],"who":[170],"not.":[172],"It":[173],"analyzes":[174],"performance":[176],"predictive":[179],"rerouting":[180],"algorithm":[181],"when":[182],"distinct":[184,193],"percentage":[185],"unable":[189],"communicate":[191],"for":[192],"densities,":[195],"proves":[197],"simulations":[199],"even":[201],"far":[204],"hundred":[207],"percent":[208],"lead":[209],"an":[211],"average":[215],"time":[216],"fuel":[218],"consumption":[219],"well":[221],"CO2":[223],"emissions":[224],"per":[225],"vehicle.":[226]},"counts_by_year":[{"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":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}