{"id":"https://openalex.org/W4409158696","doi":"https://doi.org/10.1145/3690624.3709236","title":"A Universal Model for Human Mobility Prediction","display_name":"A Universal Model for Human Mobility Prediction","publication_year":2025,"publication_date":"2025-04-04","ids":{"openalex":"https://openalex.org/W4409158696","doi":"https://doi.org/10.1145/3690624.3709236"},"language":"en","primary_location":{"id":"doi:10.1145/3690624.3709236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690624.3709236","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3690624.3709236","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077970490","display_name":"Qingyue Long","orcid":"https://orcid.org/0009-0002-0179-0991"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingyue Long","raw_affiliation_strings":["Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334794","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0003-1701-2588"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077970490"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":16.7037,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.99131506,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"894","last_page":"905"},"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":1.0,"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":1.0,"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":0.9832000136375427,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9768000245094299,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6474515199661255},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.48082101345062256},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3211655616760254},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21197813749313354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474515199661255},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.48082101345062256},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3211655616760254},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21197813749313354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3690624.3709236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690624.3709236","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3690624.3709236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3690624.3709236","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2056284729","https://openalex.org/W2345702419","https://openalex.org/W2528639018","https://openalex.org/W2760942449","https://openalex.org/W2788114581","https://openalex.org/W2911662370","https://openalex.org/W2921532413","https://openalex.org/W3036167779","https://openalex.org/W3102272367","https://openalex.org/W3111769493","https://openalex.org/W3128267727","https://openalex.org/W3157414468","https://openalex.org/W3161756478","https://openalex.org/W3164797320","https://openalex.org/W3169193436","https://openalex.org/W3176419744","https://openalex.org/W3202610094","https://openalex.org/W4212937970","https://openalex.org/W4254040829","https://openalex.org/W4284668299","https://openalex.org/W4290927668","https://openalex.org/W4290943391","https://openalex.org/W4298069447","https://openalex.org/W4306317966","https://openalex.org/W4315588609","https://openalex.org/W4321648808","https://openalex.org/W4378776022","https://openalex.org/W4382239876","https://openalex.org/W4382316621","https://openalex.org/W4385270120","https://openalex.org/W4385568051","https://openalex.org/W4386609980","https://openalex.org/W4389736340","https://openalex.org/W4390100390","https://openalex.org/W4390100419","https://openalex.org/W4391575085","https://openalex.org/W4391987728","https://openalex.org/W4393379587","https://openalex.org/W4401856724","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2554282488","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Predicting":[0],"human":[1,115],"mobility":[2,29,42,76,101,116,136,189],"is":[3],"crucial":[4],"for":[5],"urban":[6],"planning,":[7],"traffic":[8],"control,":[9],"and":[10,20,22,35,46,91,129,142,176,197,216,222,237,241],"emergency":[11],"response.":[12],"Mobility":[13],"behaviors":[14,24],"can":[15,122],"be":[16,123],"categorized":[17],"into":[18,145],"individual":[19,33,44,62,73,89,127,175],"collective,":[21],"these":[23,72,166],"are":[25,79,245],"recorded":[26],"by":[27,68],"diverse":[28],"data,":[30,43,190],"such":[31],"as":[32],"trajectory":[34,45,90,128,141,196,215],"crowd":[36,47,69,92,130],"flow.":[37,93,131],"As":[38],"different":[39,163,188],"modalities":[40],"of":[41,61,108,165,194,208,233],"flow":[48,143,198,217],"have":[49],"a":[50,113,134,153,172],"close":[51],"coupling":[52],"relationship.":[53],"Crowd":[54],"flows":[55,70],"originate":[56],"from":[57,187],"the":[58,65,106,159,162,206,229],"bottom-up":[59],"aggregation":[60],"trajectories,":[63],"while":[64],"constraints":[66],"imposed":[67],"shape":[71],"trajectories.":[74],"Existing":[75],"prediction":[77,102,117],"methods":[78],"limited":[80],"to":[81,85,99,103,125],"single":[82],"tasks":[83],"due":[84],"modal":[86],"gaps":[87],"between":[88,161],"In":[94],"this":[95],"work,":[96],"we":[97,170],"aim":[98],"unify":[100],"break":[104],"through":[105,152],"limitations":[107],"task-specific":[109],"models.":[110],"We":[111],"propose":[112],"universal":[114],"model":[118,210,227],"(named":[119],"UniMob),":[120],"which":[121],"applied":[124],"both":[126,140,195],"UniMob":[132],"leverages":[133],"multi-view":[135],"tokenizer":[137],"that":[138],"transforms":[139],"data":[144,168,224],"spatiotemporal":[146,185],"tokens,":[147],"facilitating":[148,191],"unified":[149],"sequential":[150],"modeling":[151],"diffusion":[154],"transformer":[155],"architecture.":[156],"To":[157],"bridge":[158],"gap":[160],"characteristics":[164],"two":[167],"modalities,":[169],"implement":[171],"novel":[173],"bidirectional":[174],"collective":[177],"alignment":[178],"mechanism.":[179],"This":[180],"mechanism":[181],"enables":[182],"learning":[183],"common":[184],"patterns":[186],"mutual":[192],"enhancement":[193],"predictions.":[199],"Extensive":[200],"experiments":[201],"on":[202],"real-world":[203],"datasets":[204],"validate":[205],"superiority":[207],"our":[209,226],"over":[211],"state-of-the-art":[212],"baselines":[213],"in":[214,220,239],"prediction.":[218],"Especially":[219],"noisy":[221],"scarce":[223],"scenarios,":[225],"achieves":[228],"highest":[230],"performance":[231],"improvement":[232],"more":[234],"than":[235],"14%":[236],"25%":[238],"MAPE":[240],"Accuracy@5.":[242],"The":[243],"codes":[244],"available":[246],"online:":[247],"https://github.com/tsinghua-fib-lab/UniMob.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}