{"id":"https://openalex.org/W7090879566","doi":"https://doi.org/10.5281/zenodo.16529953","title":"Longitudinal traces of platoon simulation with and without cyber-attacks and network latency","display_name":"Longitudinal traces of platoon simulation with and without cyber-attacks and network latency","publication_year":2025,"publication_date":"2025-07-28","ids":{"openalex":"https://openalex.org/W7090879566","doi":"https://doi.org/10.5281/zenodo.16529953"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.16529953","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.16529953","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.16529953","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Pagani, Dario","orcid":"https://orcid.org/0009-0005-4663-6666"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pagani, Dario","raw_affiliation_strings":["University of Pisa"],"raw_orcid":"https://orcid.org/0009-0005-4663-6666","affiliations":[{"raw_affiliation_string":"University of Pisa","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bernardeschi, Cinzia","orcid":"https://orcid.org/0000-0003-1604-4465"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Bernardeschi, Cinzia","raw_affiliation_strings":["Univeristy of Pisa"],"raw_orcid":"https://orcid.org/0000-0003-1604-4465","affiliations":[{"raw_affiliation_string":"Univeristy of Pisa","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lettieri, Giuseppe","orcid":"https://orcid.org/0000-0003-1005-7441"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lettieri, Giuseppe","raw_affiliation_strings":["Universita' di Pisa","University of Pisa","Universit\u00e0 di Pisa"],"raw_orcid":"https://orcid.org/0000-0003-1005-7441","affiliations":[{"raw_affiliation_string":"Universita' di Pisa","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"University of Pisa","institution_ids":["https://openalex.org/I108290504"]},{"raw_affiliation_string":"Universit\u00e0 di Pisa","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Quadri, Christian","orcid":"https://orcid.org/0000-0002-3608-8142"},"institutions":[{"id":"https://openalex.org/I189158943","display_name":"University of Milan","ror":"https://ror.org/00wjc7c48","country_code":"IT","type":"education","lineage":["https://openalex.org/I189158943"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Quadri, Christian","raw_affiliation_strings":["University of Milan"],"raw_orcid":"https://orcid.org/0000-0002-3608-8142","affiliations":[{"raw_affiliation_string":"University of Milan","institution_ids":["https://openalex.org/I189158943"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Fagiolini, Adriano","orcid":"https://orcid.org/0000-0001-9943-1975"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fagiolini, Adriano","raw_affiliation_strings":["University of Palermo","Universita' degli Studi di Palermo"],"raw_orcid":"https://orcid.org/0000-0001-9943-1975","affiliations":[{"raw_affiliation_string":"University of Palermo","institution_ids":[]},{"raw_affiliation_string":"Universita' degli Studi di Palermo","institution_ids":["https://openalex.org/I900890020"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Santone, Antonella","orcid":"https://orcid.org/0000-0002-2634-4456"},"institutions":[{"id":"https://openalex.org/I129627893","display_name":"University of Molise","ror":"https://ror.org/04z08z627","country_code":"IT","type":"education","lineage":["https://openalex.org/I129627893"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Santone, Antonella","raw_affiliation_strings":["University of Molise"],"raw_orcid":"https://orcid.org/0000-0002-2634-4456","affiliations":[{"raw_affiliation_string":"University of Molise","institution_ids":["https://openalex.org/I129627893"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nardone, Vittoria","orcid":null},"institutions":[{"id":"https://openalex.org/I129627893","display_name":"University of Molise","ror":"https://ror.org/04z08z627","country_code":"IT","type":"education","lineage":["https://openalex.org/I129627893"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nardone, Vittoria","raw_affiliation_strings":["University of Molise"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Molise","institution_ids":["https://openalex.org/I129627893"]}]},{"author_position":"last","author":{"id":null,"display_name":"Vivani, Alessio","orcid":null},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vivani, Alessio","raw_affiliation_strings":["University of Pisa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9526000022888184,"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":0.9526000022888184,"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.025299999862909317,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.007400000002235174,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/platoon","display_name":"Platoon","score":0.8876000046730042},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5856000185012817},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5741000175476074},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.5444999933242798},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.44780001044273376},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.3912000060081482},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.37529999017715454},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.36719998717308044}],"concepts":[{"id":"https://openalex.org/C2777735972","wikidata":"https://www.wikidata.org/wiki/Q1061967","display_name":"Platoon","level":3,"score":0.8876000046730042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6107000112533569},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5856000185012817},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5741000175476074},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5587000250816345},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.5444999933242798},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.44780001044273376},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.3912000060081482},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.37529999017715454},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.36719998717308044},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.3540000021457672},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3391999900341034},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33649998903274536},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3215000033378601},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.31929999589920044},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.29739999771118164},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C110593043","wikidata":"https://www.wikidata.org/wiki/Q7300787","display_name":"Real-time data","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.27230000495910645},{"id":"https://openalex.org/C2986737936","wikidata":"https://www.wikidata.org/wiki/Q1058791","display_name":"Time synchronization","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.26080000400543213},{"id":"https://openalex.org/C113168747","wikidata":"https://www.wikidata.org/wiki/Q507295","display_name":"Cruise control","level":3,"score":0.26019999384880066},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.25920000672340393}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.16529953","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.16529953","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.16529953","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.16529953","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Longitudinal":[0],"traces":[1],"of":[2,41,373,665,672,700,762,889,897,904],"platoon":[3,31,63,255],"simulation":[4,15,42,344,351,356,505,688],"with":[5,244,346,358,386,669],"and":[6,9,25,46,76,106,313,368,391,704,808,817,861,884,891,900],"without":[7,195,764],"cyber-attacks":[8],"network":[10],"latency":[11],"This":[12,83,847],"dataset":[13,39,235],"contains":[14,342,690],"results":[16,374,788],"from":[17,44,749,851,885],"the":[18,114,119,254,387,566,597,676,683,723,735,740,746,760,766,770,779,783,787,825,833,840,852,886,895,898],"FORESEEN":[19],"project,":[20],"focusing":[21],"on":[22,145,155,165,175,185,262,271,278,287,300,307,316,322,330,624],"Vehicle-to-Vehicle":[23,137],"(V2V)":[24],"Vehicle-to-Edge":[26,209],"(V2E)":[27],"communication":[28],"scenarios":[29,72,138,194,205,210],"in":[30,118,675,782,789,819,894],"formations":[32],"under":[33,69,824,839],"various":[34,120,684],"attack":[35,71,294,299,306,321,329],"conditions.":[36],"Overview":[37],"The":[38,58,234,380,491,792,815],"consists":[40],"data":[43,115,357,385,506,816],"Connected":[45],"Automated":[47],"Vehicle":[48,435,568,579],"(CAV)":[49],"platoons":[50],"using":[51,734],"Cooperative":[52],"Adaptive":[53],"Cruise":[54],"Control":[55],"(CACC)":[56],"systems.":[57],"simulations":[59,243,666],"model":[60],"a":[61,670,730],"10-vehicle":[62],"(1":[64,574],"leader":[65,256,418,427,432,575],"+":[66,576,635,642],"9":[67,577],"followers)":[68,578],"different":[70,347],"affecting":[73],"both":[74],"sensors":[75,301,308,317],"actuators.":[77],"Directory":[78],"Structure":[79,335],"\u251c\u2500\u2500":[80,85,91,96,102,110,123,126,129,134,140,150,160,170,180,190,216,218,220,222,224,226],"README.md":[81],"#":[82,87,93,98,104,112,136,142,152,162,172,182,192,200,208],"file":[84,693],"manual.txt":[86],"Detailed":[88],"technical":[89,804],"documentation":[90],"echarts.min.js":[92],"Visualization":[94],"library":[95],"launch.sh":[97,737],"Batch":[99],"processing":[100],"script":[101],"utils/":[103],"Analysis":[105,490],"visualization":[107,372],"tools":[108,117],"\u2502":[109,122,125,128,131,139,149,159,169,179,189,197],"build.sh":[111],"Installs":[113],"vis.":[116],"folders":[121],"build_stats.py":[124],"graphs_template.html":[127],"install_graphs.sh":[130],"\u2514\u2500\u2500":[132,198,206,228],"make_index.py":[133],"v2v/":[135],"Attack_First_Part-1/":[141,217],"Sensor":[143,163,173,249,258,274],"attacks":[144,154,164,174,184,196,250,259,268,275,284,315],"Car1":[146,156,263,272],"(modes":[147,157,167,177,187,251,260,269,276,285],"1,2,3)":[148,168,178],"Attack_First_Part-2/":[151,219],"Actuator":[153,183,267,283],"4,5)":[158,188],"Attack_Leader/":[161,221],"Leader":[166,392,401,407,412,626],"Attack_Middle_Part-1/":[171,223],"Car4":[176,186,279,288],"Attack_Middle_Part-2/":[181,225],"No_Attack/":[191,227],"Baseline":[193,242],"stats.csv":[199,229,492],"Aggregated":[201],"statistics":[202],"across":[203,521],"all":[204,522],"v2e/":[207],"(centralized":[211,620],"control":[212,806],"via":[213],"edge":[214,621],"computing)":[215,622],"Simulation":[230,337,362,366,396],"Scenarios":[231],"Attack":[232,289],"Types":[233],"includes":[236],"six":[237],"main":[238],"scenario":[239,340,625],"categories:":[240,526],"No_Attack:":[241],"nominal":[245],"system":[246],"behavior":[247],"Attack_Leader:":[248],"1-3)":[252,261,277],"targeting":[253],"Attack_First_Part-1:":[257],"(first":[264],"follower)":[265],"Attack_First_Part-2:":[266],"4-5)":[270,286],"Attack_Middle_Part-1:":[273],"(middle":[280],"vehicle)":[281],"Attack_Middle_Part-2:":[282],"Modes":[290],"Mode":[291,295,302,309,318,326,630,637,644],"0:":[292,631],"No":[293],"1:":[296,638],"Low-frequency":[297],"sinusoidal":[298,305,636,643],"2:":[303,645],"High-frequency":[304],"3:":[310],"Combined":[311],"low":[312],"high-frequency":[314],"4:":[319],"Multiplicative":[320],"actuator":[323,331],"(acceleration":[324,332],"amplification)":[325],"5:":[327],"Additive":[328],"offset)":[333],"Data":[334,378,436],"Individual":[336,661],"Folders":[338],"Each":[339,350,591,663,686],"folder":[341,352,689],"multiple":[343],"runs":[345],"parameter":[348,719,809],"combinations.":[349],"includes:":[353],"results.csv:":[354],"Raw":[355],"time-series":[359,384,698],"measurements":[360],"config.mm.json:":[361],"configuration":[363],"parameters":[364],"objectives.json:":[365],"objectives":[367],"metrics":[369],"index.html:":[370],"Interactive":[371,697],"(when":[375],"processed)":[376],"CSV":[377],"Format":[379],"results.csv":[381],"files":[382,493,742,794],"contain":[383,494],"following":[388,530,585],"columns:":[389],"Time":[390],"Data:":[393,478],"-":[394,399,405,410,415,424,429,444,450,455,460,469,473,479,527,533,540,547,553,696,706,713,717,855,858,865,880],"time:":[395],"timestamp":[397],"(seconds)":[398],"{Leader}.LeaderInstance.position_x:":[400],"X":[402,447,463],"position":[403,419,448,464],"(meters)":[404,449],"{Leader}.LeaderInstance.speed:":[406],"velocity":[408,428,453,472],"(m/s)":[409,454],"{Leader}.LeaderInstance.acceleration:":[411],"acceleration":[413,433,458,476,482,633,640],"(m/s\u00b2)":[414,459],"{Leader}.LeaderInstance.real_x:":[416],"True":[417,426,431,462,471,475],"(unaffected":[420,465],"by":[421,466,487],"sensor":[422,467,710],"attacks)":[423,468],"{Leader}.LeaderInstance.real_v:":[425],"{Leader}.LeaderInstance.real_a:":[430],"Follower":[434],"(Car1-Car9):":[437],"For":[438,561,802],"each":[439,511,583],"follower":[440],"vehicle":[441,484,512,592,701],"i":[442,485],"(1-9):":[443],"{Cari}.CarInstance_i.position_x:":[445],"Reported":[446,452,457],"{Cari}.CarInstance_i.speed:":[451],"{Cari}.CarInstance_i.acceleration:":[456],"{Cari}.CarInstance_i.real_x:":[461],"{Cari}.CarInstance_i.real_v:":[470],"{Cari}.CarInstance_i.real_a:":[474],"Network/CACC":[477],"{Network}.MecInstance.platoon_0_i_des_acc:":[480],"Desired":[481],"for":[483,510,832],"computed":[486],"CACC":[488],"Statistical":[489],"aggregated":[495],"safety":[496,519],"metrics:":[497],"Run":[498],"name:":[499],"Scenario":[500],"identifier":[501],"Folder:":[502],"Path":[503],"to":[504,656,680,753,785,812],"d01-d89:":[507],"Safety":[508,524],"status":[509,520,525],"pair":[513],"(Leader-Car1,":[514],"Car1-Car2,":[515],"etc.)":[516],"OVERALL:":[517],"Worst-case":[518],"vehicles":[523,573],"OK:":[528],"Safe":[529],"distance":[531,715],"maintained":[532],"TOO":[534,541],"FAR:":[535],"Distance":[536,543,549,555],">":[537],"18m":[538],"(inefficient)":[539],"CLOSE:":[542],"10-12m":[544],"(potentially":[545],"unsafe)":[546],"VIOLATION:":[548],"<":[550],"10m":[551],"(unsafe)":[552],"COLLISION:":[554],"\u2264":[556],"4m":[557],"(collision)":[558],"Key":[559],"Parameters":[560],"more":[562],"precise":[563],"information":[564],"check":[565],"manual.pdf.":[567,813],"Dynamics":[569],"Platoon":[570],"size:":[571],"10":[572],"length:":[580],"4":[581,594,867],"meters":[582,588],"Target":[584],"distance:":[586],"14":[587],"Starting":[589],"sequence:":[590],"starts":[593],"seconds":[595],"after":[596],"previous":[598],"one":[599],"Network":[600],"Characteristics":[601],"Uplink":[602],"delay:":[603,609],"8":[604],"or":[605,611,618],"10ms":[606],"(average)":[607,613],"Downlink":[608],"3":[610],"5ms":[612],"Communication":[614],"protocol:":[615],"V2V":[616],"(distributed)":[617],"V2E":[619],"depending":[623],"Behavior":[627],"Operational":[628],"modes:":[629],"Constant":[632],"(10s)":[634],"Linear":[639],"(8s)":[641],"Periodic":[646],"sprint":[647],"cycles":[648],"Acceleration":[649],"values:":[650,654],"1.7-2.0":[651],"m/s\u00b2":[652,658],"Deceleration":[653],"-1.5":[655],"-1.7":[657],"Usage":[659],"Viewing":[660],"Results":[662],"batch":[664],"is":[667,837],"provided":[668,736],"table":[671,761],"contents":[673,763],"stored":[674],"index.html,":[677],"it\u2019s":[678],"useful":[679],"sort":[681],"through":[682,798],"parameters.":[685],"processed":[687],"an":[691],"index.html":[692],"that":[694],"provides:":[695],"plots":[699],"positions,":[702],"velocities,":[703],"accelerations":[705],"Real":[707],"vs.":[708],"reported":[709],"values":[711],"comparison":[712],"Following":[714],"analysis":[716],"Configuration":[718],"tables":[720],"To":[721],"view":[722],"interactive":[724],"visualizations":[725,748],"(index.html),":[726],"you":[727],"must":[728],"start":[729],"local":[731],"web":[732,767],"server":[733],"script.":[738],"Opening":[739],"HTML":[741],"directly":[743],"will":[744,772],"prevent":[745],"JavaScript":[747],"working":[750],"correctly":[751],"due":[752],"browser":[754],"security":[755],"restrictions.":[756],"You":[757],"may":[758],"consult":[759],"starting":[765],"server;":[768],"although":[769],"hyperlinks":[771],"be":[773],"broken.":[774],"Run:":[775],"./launch.sh":[776],"Then":[777],"follow":[778],"instructions":[780],"printed":[781],"terminal":[784],"access":[786],"your":[790],"browser.":[791],"aforementioned":[793],"have":[795],"been":[796],"generated":[797],"utils/build.sh.":[799],"Technical":[800],"Details":[801],"detailed":[803],"specifications,":[805],"algorithms,":[807],"descriptions,":[810],"refer":[811],"License":[814,842],"programs":[818],"this":[820],"archive":[821],"are":[822],"released":[823,838],"Creative":[826],"Commons":[827],"Attribution":[828],"4.0":[829],"International;":[830],"except":[831],"Apache":[834,841],"ECharts":[835],"which":[836],"Version":[843],"2.0.":[844],"---":[845],"Acknowledgment":[846],"study":[848],"received":[849],"funding":[850],"European":[853],"Union":[854],"Next-":[856],"GenerationEU":[857],"National":[859],"Recovery":[860],"Resilience":[862],"Plan":[863],"(NRRP)":[864],"MISSION":[866],"COMPONENT":[868],"2,":[869],"INVESTMENT":[870],"N.":[871],"1.1,":[872],"CALL":[873],"PRIN":[874],"2022":[875],"PNRR":[876],"D.D.":[877],"1409":[878],"14-09-2022":[879],"(FORESEEN)":[881],"CUP":[882],"N.P2022WYAEW":[883],"Italian":[887],"Ministry":[888],"University":[890],"Research":[892],"(MUR)":[893],"framework":[896],"Crosslab":[899],"FoReLab":[901],"projects":[902],"(Departments":[903],"Excellence).":[905]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-15T00:00:00"}