{"id":"https://openalex.org/W7164186379","doi":"https://doi.org/10.48550/arxiv.2606.10641","title":"CAMASA: A CAM-based Dataset from the MASA Living Lab","display_name":"CAMASA: A CAM-based Dataset from the MASA Living Lab","publication_year":2026,"publication_date":"2026-06-09","ids":{"openalex":"https://openalex.org/W7164186379","doi":"https://doi.org/10.48550/arxiv.2606.10641"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.10641","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10641","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.10641","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115012415","display_name":"Salvatore Iandolo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iandolo, Salvatore","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114345200","display_name":"Marco Savarese","orcid":"https://orcid.org/0009-0004-9722-0110"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Savarese, Marco","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120651010","display_name":"Gaetano Orazio Cauchi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cauchi, Gaetano Orazio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138363985","display_name":"Antonio Solida","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Solida, Antonio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004281878","display_name":"Martin Klapez","orcid":"https://orcid.org/0000-0002-2947-204X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Klapez, Martin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054415777","display_name":"Maurizio Casoni","orcid":"https://orcid.org/0000-0002-8417-4416"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Casoni, Maurizio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049269493","display_name":"Angelo Porrello","orcid":"https://orcid.org/0000-0002-9022-8484"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Porrello, Angelo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138380421","display_name":"Carlo Augusto Grazia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Grazia, Carlo Augusto","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.3296000063419342,"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":0.3296000063419342,"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":0.2029000073671341,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.19740000367164612,"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/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5893999934196472},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5673999786376953},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5625},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.43779999017715454},{"id":"https://openalex.org/keywords/enabling","display_name":"Enabling","score":0.375},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.37119999527931213},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.36899998784065247},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.36469998955726624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6926000118255615},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5893999934196472},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5673999786376953},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5625},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.43779999017715454},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4124000072479248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38589999079704285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38420000672340393},{"id":"https://openalex.org/C22607594","wikidata":"https://www.wikidata.org/wiki/Q5375150","display_name":"Enabling","level":2,"score":0.375},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.37119999527931213},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.36899998784065247},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.36469998955726624},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.33000001311302185},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C101765175","wikidata":"https://www.wikidata.org/wiki/Q577764","display_name":"Communications system","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2745000123977661},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.2651999890804291},{"id":"https://openalex.org/C64093975","wikidata":"https://www.wikidata.org/wiki/Q356677","display_name":"Floating car data","level":3,"score":0.26499998569488525}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.10641","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10641","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.10641","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.10641","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.43313470482826233,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Trajectory":[0],"prediction":[1],"is":[2],"a":[3,39,86,134],"key":[4],"enabler":[5],"of":[6,120,126,128,154,165],"autonomous":[7],"and":[8,49,71,102,113,124,161,178],"cooperative":[9],"driving":[10],"systems.":[11],"However,":[12],"most":[13],"existing":[14],"benchmarks":[15],"are":[16],"either":[17],"sensor-centric,":[18],"geographically":[19],"constrained,":[20],"or":[21],"based":[22],"on":[23,141],"synthetic":[24],"mobility":[25,176],"traces":[26],"that":[27,90],"do":[28],"not":[29],"capture":[30],"real-world":[31],"V2X":[32,179],"communication":[33,180],"dynamics.":[34],"This":[35],"paper":[36],"introduces":[37],"CAMASA,":[38],"large-scale":[40],"infrastructure-based":[41],"dataset":[42,64,151],"derived":[43],"from":[44],"Cooperative":[45,142],"Awareness":[46],"Messages":[47,53],"(CAMs)":[48],"Decentralized":[50],"Environmental":[51],"Notification":[52],"(DENMs)":[54],"collected":[55],"within":[56],"the":[57,150,163],"Modena":[58],"Automotive":[59],"Smart":[60],"Area":[61],"(MASA).":[62],"The":[63],"comprises":[65],"more":[66],"than":[67],"40":[68],"million":[69,73],"CAMs":[70],"2":[72],"DENMs":[74],"recorded":[75],"under":[76],"authentic":[77],"urban":[78,156],"traffic":[79,157],"conditions":[80],"over":[81,117],"multiple":[82],"months.":[83],"We":[84],"present":[85],"rigorous":[87],"preprocessing":[88],"pipeline":[89],"includes":[91],"filtering,":[92],"pseudonym":[93],"reconciliation":[94],"to":[95,105],"account":[96],"for":[97,110,139],"ETSI":[98],"privacy-driven":[99],"stationID":[100],"changes,":[101],"temporal":[103],"normalization":[104],"10":[106],"Hz":[107],"trajectories,":[108],"suitable":[109],"motion":[111],"forecasting":[112],"time-series":[114],"analysis.":[115],"With":[116],"14,000":[118],"km":[119],"reconstructed":[121],"vehicle":[122],"paths":[123],"tens":[125],"thousands":[127],"unique":[129],"station":[130],"IDs,":[131],"CAMASA":[132],"provides":[133],"statistically":[135],"significant":[136],"empirical":[137],"foundation":[138],"research":[140],"Intelligent":[143,167],"Transportation":[144,168],"Systems":[145,169],"(C-ITS).":[146],"Beyond":[147],"trajectory":[148],"prediction,":[149],"enables":[152],"calibration":[153],"microscopic":[155],"simulators":[158],"(e.g.,":[159],"SUMO)":[160],"supports":[162],"development":[164],"realistic":[166],"(ITS)":[170],"Digital":[171],"Twins":[172],"by":[173],"jointly":[174],"modeling":[175],"patterns":[177],"coverage":[181],"in":[182],"real":[183],"deployments.":[184]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-11T00:00:00"}
