{"id":"https://openalex.org/W7163133759","doi":"https://doi.org/10.48550/arxiv.2606.00430","title":"SF-LIFE: A Large-Scale Simulated Movement Dataset for the San Francisco Bay Area","display_name":"SF-LIFE: A Large-Scale Simulated Movement Dataset for the San Francisco Bay Area","publication_year":2026,"publication_date":"2026-05-29","ids":{"openalex":"https://openalex.org/W7163133759","doi":"https://doi.org/10.48550/arxiv.2606.00430"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.00430","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00430","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2606.00430","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137626634","display_name":"Chanuka Algama","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Algama, Chanuka","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124306033","display_name":"Taylor Anderson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anderson, Taylor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137633459","display_name":"Henrique Ferraz de Arruda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"de Arruda, Henrique Ferraz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000669076","display_name":"AT Crooks","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Crooks, Andrew","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089724443","display_name":"Nathan Holt","orcid":"https://orcid.org/0000-0002-3494-0514"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Holt, Nathan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019344207","display_name":"Erfan Hosseini Sereshgi","orcid":"https://orcid.org/0000-0003-2548-7428"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sereshgi, Erfan Hosseini","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137641708","display_name":"John Hunter","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hunter, John","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055131878","display_name":"Hamdi Kavak","orcid":"https://orcid.org/0000-0003-4307-2381"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kavak, Hamdi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019675145","display_name":"Levi Kennedy","orcid":"https://orcid.org/0009-0004-6815-2219"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kennedy, Lance","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137639608","display_name":"Yueyang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yueyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001448076","display_name":"Dieter Pfoser","orcid":"https://orcid.org/0000-0001-9197-0069"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pfoser, Dieter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052993578","display_name":"Sandro M. Reia","orcid":"https://orcid.org/0000-0001-5817-5020"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reia, Sandro Martinelli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137695186","display_name":"Doug Taylor","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taylor, Doug","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137651116","display_name":"Mauryan Uppalapati","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Uppalapati, Mauryan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137641087","display_name":"Boyu Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Boyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054903605","display_name":"Carola Wenk","orcid":"https://orcid.org/0000-0001-9275-5336"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenk, Carola","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5095886499","display_name":"Andreas Z\u00fcfle","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Z\u00fcfle, Andreas","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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9341999888420105,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9341999888420105,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.011099999770522118,"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/T11106","display_name":"Data Management and Algorithms","score":0.007199999876320362,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/trajectory","display_name":"Trajectory","score":0.7031000256538391},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5598000288009644},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5411999821662903},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.5042999982833862},{"id":"https://openalex.org/keywords/transit","display_name":"Transit (satellite)","score":0.4343999922275543},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.39590001106262207},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.38100001215934753}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7031000256538391},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5598000288009644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.559499979019165},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5411999821662903},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.5042999982833862},{"id":"https://openalex.org/C2778022998","wikidata":"https://www.wikidata.org/wiki/Q651136","display_name":"Transit (satellite)","level":3,"score":0.4343999922275543},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.39590001106262207},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3402000069618225},{"id":"https://openalex.org/C115880899","wikidata":"https://www.wikidata.org/wiki/Q1124247","display_name":"Bay","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.32100000977516174},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C2778597888","wikidata":"https://www.wikidata.org/wiki/Q172169","display_name":"3D city models","level":3,"score":0.29760000109672546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2840999960899353},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2578999996185303},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2563999891281128},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.00430","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00430","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.00430","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.00430","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.41676875948905945,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"introduce":[1],"SF-LIFE,":[2],"a":[3,35,46,171,212],"large-scale":[4],"simulated":[5,31,131],"movement":[6],"dataset":[7,19,190],"designed":[8],"to":[9],"accelerate":[10],"research":[11,219],"in":[12,207,220],"transportation,":[13],"mobility,":[14],"and":[15,69,96,126,177,184,194,203,214,226],"machine":[16],"learning.":[17],"The":[18,49],"contains":[20],"3,024,000,000,000":[21],"location":[22],"records":[23],"capturing":[24],"complete,":[25],"noise-free,":[26],"multi-modality":[27],"trajectories":[28,73,99],"of":[29,56,64,67,80,133,151,191,196],"500,000":[30],"agents":[32,58,75],"observed":[33],"at":[34],"1Hz":[36],"frequency":[37],"navigating":[38],"the":[39,77,139,152,164,179,188,200],"San":[40,81,107,134],"Francisco":[41,82,108],"Bay":[42],"Area":[43],"network":[44,183],"over":[45],"70-day":[47],"period.":[48],"data":[50,84,142,154],"captures":[51],"(1)":[52,138],"needs-driven":[53],"daily":[54],"agendas":[55],"individual":[57],"generated":[59],"by":[60],"an":[61,168],"agent-based":[62],"simulation":[63],"human":[65,223],"patterns":[66],"life":[68],"(2)":[70,148],"detailed":[71],"kinematic":[72],"moving":[74],"across":[76,89,118],"OpenStreetMap":[78],"representation":[79,132],"using":[83,106],"from":[85],"40+":[86],"transit":[87,104,221],"agencies":[88],"9":[90],"counties.":[91],"SF-LIFE":[92,198],"provides":[93],"unprecedented":[94],"scale":[95,193],"detail":[97],"as":[98],"are":[100],"based":[101],"on":[102],"real":[103],"infrastructure":[105],"General":[109],"Transit":[110],"Feed":[111],"Specification":[112],"(GTFS)":[113],"data,":[114,176,210],"having":[115],"agent":[116,160,169,174],"movements":[117],"multiple":[119],"modalities,":[120],"including":[121],"bus,":[122],"rail,":[123],"bike,":[124],"automobile,":[125],"walking.":[127],"For":[128],"this":[129],"high-fidelity":[130],"Francisco,":[135],"we":[136],"provide":[137],"full":[140],"trajectory":[141,153],"annotated":[143],"with":[144,155],"transportation":[145],"mode":[146],"labels,":[147],"reduced-size":[149],"versions":[150],"reduced":[156],"temporal":[157],"frequency,":[158],"(3)":[159],"activity":[161,166],"information":[162],"describing":[163],"causal":[165],"why":[167],"visits":[170],"place,":[172],"(4)":[173],"demographic":[175],"(5)":[178],"underlying":[180],"OSM":[181],"road":[182],"building":[185],"data.":[186],"As":[187],"first":[189],"its":[192],"level":[195],"detail,":[197],"overcomes":[199],"privacy,":[201],"noise,":[202],"completeness":[204],"limitations":[205],"inherent":[206],"real-world":[208],"tracking":[209],"providing":[211],"robust":[213],"ethically":[215],"sourced":[216],"resource":[217],"for":[218],"optimization,":[222],"mobility":[224],"analysis,":[225],"urban":[227],"computing.":[228]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-03T00:00:00"}
