{"id":"https://openalex.org/W4388472084","doi":"https://doi.org/10.1145/3615894.3628500","title":"Estimating future human trajectories from sparse time series data","display_name":"Estimating future human trajectories from sparse time series data","publication_year":2023,"publication_date":"2023-11-07","ids":{"openalex":"https://openalex.org/W4388472084","doi":"https://doi.org/10.1145/3615894.3628500"},"language":"en","primary_location":{"id":"doi:10.1145/3615894.3628500","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3615894.3628500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on the Human Mobility Prediction Challenge","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/A5089228560","display_name":"Ryo Koyama","orcid":"https://orcid.org/0009-0007-4157-1634"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ryo Koyama","raw_affiliation_strings":["Independent, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0007-4157-1634","affiliations":[{"raw_affiliation_string":"Independent, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084892157","display_name":"M Suzuki","orcid":"https://orcid.org/0009-0009-8549-1032"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meisaku Suzuki","raw_affiliation_strings":["Independent, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0009-8549-1032","affiliations":[{"raw_affiliation_string":"Independent, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070135430","display_name":"Yusuke Nakamura","orcid":"https://orcid.org/0009-0007-4167-9469"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yusuke Nakamura","raw_affiliation_strings":["Independent, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0007-4167-9469","affiliations":[{"raw_affiliation_string":"Independent, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026707664","display_name":"Tomohiro Mimura","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tomohiro Mimura","raw_affiliation_strings":["Independent, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0003-6536-7073","affiliations":[{"raw_affiliation_string":"Independent, Tokyo, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039745517","display_name":"Shin Ishiguro","orcid":"https://orcid.org/0009-0005-8097-8360"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin Ishiguro","raw_affiliation_strings":["University of Tokyo, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0005-8097-8360","affiliations":[{"raw_affiliation_string":"University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089228560"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1405,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8249505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"26","last_page":"31"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9980999827384949,"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":0.991100013256073,"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/computer-science","display_name":"Computer science","score":0.6976374983787537},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5299067497253418},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4745270311832428},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.44923028349876404},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4409739673137665},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.412114679813385},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40798652172088623},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4059141278266907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37610986828804016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6976374983787537},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5299067497253418},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4745270311832428},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44923028349876404},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4409739673137665},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.412114679813385},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40798652172088623},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4059141278266907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37610986828804016},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3615894.3628500","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3615894.3628500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on the Human Mobility Prediction Challenge","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":0.5099999904632568},{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W4309651343"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W4384470695","https://openalex.org/W3134840015","https://openalex.org/W4366979180","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"address":[4],"the":[5,15,48,73,84],"Human":[6],"Mobility":[7],"Prediction":[8],"Challenge":[9],"(HuMob":[10],"Challenge)":[11],"2023,":[12],"focusing":[13],"on":[14],"prediction":[16,78],"of":[17,56,75],"human":[18,76],"mobility":[19,39,77],"patterns":[20],"using":[21],"sparse":[22,88],"datasets,":[23],"a":[24],"prevalent":[25],"challenge":[26],"impacting":[27],"urban":[28,91],"planning,":[29],"disaster":[30],"risk":[31],"management,":[32],"and":[33,52],"transportation":[34],"modeling.":[35],"Our":[36],"approach":[37],"integrates":[38],"data":[40,89],"at":[41],"two":[42],"distinct":[43],"time":[44],"scales":[45],"to":[46,72,83],"identify":[47],"most":[49],"frequented":[50],"locations":[51],"utilizes":[53],"an":[54],"ensemble":[55],"decision":[57],"tree-based":[58],"classifiers":[59],"for":[60],"future":[61],"movement":[62],"predictions,":[63],"demonstrating":[64],"effectiveness":[65],"across":[66],"different":[67],"scenarios.":[68],"This":[69],"study":[70],"contributes":[71],"advancement":[74],"models":[79],"by":[80,87],"offering":[81],"solutions":[82],"challenges":[85],"posed":[86],"in":[90],"settings.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
