{"id":"https://openalex.org/W4313459167","doi":"https://doi.org/10.1109/iccr56254.2022.9995918","title":"Vehicular Grounding Situation For Intelligent Transportation Administration Using AODV to Decrease the Round Trip in Urban and Semi Urban Using Smart Transport Techniques Comparing With Traffic Analysis Zone Networks","display_name":"Vehicular Grounding Situation For Intelligent Transportation Administration Using AODV to Decrease the Round Trip in Urban and Semi Urban Using Smart Transport Techniques Comparing With Traffic Analysis Zone Networks","publication_year":2022,"publication_date":"2022-10-06","ids":{"openalex":"https://openalex.org/W4313459167","doi":"https://doi.org/10.1109/iccr56254.2022.9995918"},"language":"en","primary_location":{"id":"doi:10.1109/iccr56254.2022.9995918","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccr56254.2022.9995918","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Cyber Resilience (ICCR)","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/A5053684378","display_name":"MYS. Karthik Yasaswy","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"MYS.Karthik Yasaswy","raw_affiliation_strings":["Saveetha University,Department of computer science and Engineering,Chennai,India","Department of computer science and Engineering, Saveetha University, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha University,Department of computer science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of computer science and Engineering, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043356529","display_name":"A. Sivagami","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arasu Sivagami","raw_affiliation_strings":["Saveetha University,Department of computer science and Engineering,Chennai,India","Department of computer science and Engineering, Saveetha University, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha University,Department of computer science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of computer science and Engineering, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111314184","display_name":"V. Suresh","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Suresh","raw_affiliation_strings":["Saveetha University,Department of computer science and Engineering,Chennai,India","Department of computer science and Engineering, Saveetha University, Chennai, India"],"affiliations":[{"raw_affiliation_string":"Saveetha University,Department of computer science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I85461943"]},{"raw_affiliation_string":"Department of computer science and Engineering, Saveetha University, Chennai, India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053684378"],"corresponding_institution_ids":["https://openalex.org/I85461943"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38977821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12406","display_name":"IoT and GPS-based Vehicle Safety Systems","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T14174","display_name":"Artificial Intelligence and Decision Support Systems","score":0.9725000262260437,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.5546733140945435},{"id":"https://openalex.org/keywords/ad-hoc-on-demand-distance-vector-routing","display_name":"Ad hoc On-Demand Distance Vector Routing","score":0.5182290077209473},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5064646005630493},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4762409031391144},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.4500952363014221},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.44077107310295105},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.4288046658039093},{"id":"https://openalex.org/keywords/wireless-ad-hoc-network","display_name":"Wireless ad hoc network","score":0.421744167804718},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3117629587650299},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2631078362464905},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25423043966293335},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.213532954454422},{"id":"https://openalex.org/keywords/routing-protocol","display_name":"Routing protocol","score":0.18999558687210083},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.166180819272995},{"id":"https://openalex.org/keywords/optimized-link-state-routing-protocol","display_name":"Optimized Link State Routing Protocol","score":0.1556868553161621},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13478291034698486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5546733140945435},{"id":"https://openalex.org/C104503742","wikidata":"https://www.wikidata.org/wiki/Q345335","display_name":"Ad hoc On-Demand Distance Vector Routing","level":5,"score":0.5182290077209473},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5064646005630493},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4762409031391144},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.4500952363014221},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.44077107310295105},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4288046658039093},{"id":"https://openalex.org/C94523657","wikidata":"https://www.wikidata.org/wiki/Q4085781","display_name":"Wireless ad hoc network","level":3,"score":0.421744167804718},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3117629587650299},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2631078362464905},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25423043966293335},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.213532954454422},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.18999558687210083},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.166180819272995},{"id":"https://openalex.org/C204739117","wikidata":"https://www.wikidata.org/wiki/Q1368373","display_name":"Optimized Link State Routing Protocol","level":4,"score":0.1556868553161621},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13478291034698486},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccr56254.2022.9995918","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iccr56254.2022.9995918","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Cyber Resilience (ICCR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1452362856","https://openalex.org/W1489522202","https://openalex.org/W1979225249","https://openalex.org/W1980277206","https://openalex.org/W2029412946","https://openalex.org/W2092553539","https://openalex.org/W2137903824","https://openalex.org/W2152426285","https://openalex.org/W2167811458","https://openalex.org/W2180956997","https://openalex.org/W2287081603","https://openalex.org/W2335053871","https://openalex.org/W2344491042","https://openalex.org/W2397006123","https://openalex.org/W2466787422","https://openalex.org/W2484007893","https://openalex.org/W2533769473","https://openalex.org/W2566041289","https://openalex.org/W2582591522","https://openalex.org/W2582973379","https://openalex.org/W2791968837","https://openalex.org/W2800922581","https://openalex.org/W2886544667","https://openalex.org/W2895062810","https://openalex.org/W2898717733","https://openalex.org/W2915876222","https://openalex.org/W2952984514","https://openalex.org/W2960281203","https://openalex.org/W2964673972","https://openalex.org/W2966457663","https://openalex.org/W2969273852","https://openalex.org/W2975022216","https://openalex.org/W3003421198","https://openalex.org/W3004245667","https://openalex.org/W3010458811","https://openalex.org/W3011309709","https://openalex.org/W3014625307","https://openalex.org/W3024479384","https://openalex.org/W3027872128","https://openalex.org/W3029903276","https://openalex.org/W3035547307","https://openalex.org/W3038830664","https://openalex.org/W3040858448","https://openalex.org/W3134184177","https://openalex.org/W3163337644","https://openalex.org/W3197146718","https://openalex.org/W3205520011","https://openalex.org/W4205515418","https://openalex.org/W4211110525","https://openalex.org/W4225981417","https://openalex.org/W4289333278","https://openalex.org/W4297904486"],"related_works":["https://openalex.org/W4252337044","https://openalex.org/W118630527","https://openalex.org/W38289631","https://openalex.org/W2592886773","https://openalex.org/W2922142213","https://openalex.org/W4211121235","https://openalex.org/W1903168099","https://openalex.org/W3030807550","https://openalex.org/W2365131446","https://openalex.org/W2110623369"],"abstract_inverted_index":{"To":[0],"reduce":[1],"round":[2,91,109],"trip":[3,92,110],"times":[4],"of":[5,60,83,126,154,196],"vehicular":[6],"grounding":[7],"for":[8,67,73],"intelligent":[9],"transport":[10,26,119,210],"administration":[11],"using":[12,24,117,208],"Ad":[13],"Hoc":[14],"On":[15],"Demand":[16],"Vector":[17],"(AODV)":[18],"in":[19,93],"urban":[20],"and":[21,35,49,129,184,212],"semi-urban":[22],"areas":[23],"smart":[25,118,209],"procedures":[27],"versus":[28],"Traffic":[29],"Analysis":[30],"Zones":[31],"Networks":[32],"(TAZN).":[33],"Materials":[34],"Methods:":[36],"The":[37,58,121,172,194],"study":[38],"contains":[39],"two":[40,44],"groups,":[41],"it":[42],"has":[43,123,133,151],"algorithms":[45],"i.e,":[46],"AODV":[47,104,132,150],"protocol":[48,105],"traffic":[50,56,113,204,224],"analysis":[51,114,205,225],"zone":[52,115,206,226],"network":[53],"with":[54,65,90,112,202],"innovative":[55],"management.":[57],"accuracies":[59],"each":[61],"model":[62,199,215],"are":[63,80,200],"compared":[64,111,201,223],"others":[66],"different":[68,94],"sample":[69,71,174],"sizes.The":[70],"size":[72],"our":[74],"project":[75],"is":[76,98,167,216],"10":[77],"vehicles.":[78],"Samples":[79],"the":[81,88,108,130,138,149,170,180,191,197,203,213,221],"number":[82],"vehicles":[84],"that":[85,103],"passed":[86],"around":[87],"junction":[89],"times.Results:":[95],"This":[96],"article":[97],"an":[99,124,152],"attempt":[100],"to":[101,178],"prove":[102],"can":[106],"decrease":[107],"networks":[116,207],"techniques.":[120],"TAZN":[122,157],"accuracy":[125,153,219],"87.2":[127],"%":[128,135],"proposed":[131,198,214],"93.5":[134,155],"accuracy.":[136],"From":[137],"results":[139],"we":[140],"have":[141],"obtained,":[142],"Statistical":[143],"significance":[144],"difference":[145],"was":[146,176],"observed":[147],"between":[148,190],"%.":[156],"Algorithm":[158],"87.20":[159],"%,":[160],"p":[161],"=":[162],"0.00":[163],"(.0.05,":[164],"2-tailed),":[165],"which":[166],"less":[168],"than":[169,220],"value.":[171],"independent":[173],"T-Test":[175],"performed":[177],"find":[179],"mean,":[181],"Standard":[182,185],"Deviation,":[183],"Error":[186],"Mean":[187],"statistical":[188],"insignificance":[189],"groups.":[192],"Conclusion:":[193],"outcomes":[195],"techniques":[211],"having":[217],"higher":[218],"previous":[222],"networks.":[227]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
