{"id":"https://openalex.org/W2562854847","doi":"https://doi.org/10.1145/2996913.2996918","title":"MultiCalib","display_name":"MultiCalib","publication_year":2016,"publication_date":"2016-10-31","ids":{"openalex":"https://openalex.org/W2562854847","doi":"https://doi.org/10.1145/2996913.2996918","mag":"2562854847"},"language":"en","primary_location":{"id":"doi:10.1145/2996913.2996918","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2996913.2996918","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2996918&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2996918&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100603762","display_name":"Desheng Zhang","orcid":"https://orcid.org/0000-0001-9307-8736"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Desheng Zhang","raw_affiliation_strings":["University of Minnesota"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403396","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0001-7455-5058"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["SIAT, Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SIAT, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038811034","display_name":"Tian He","orcid":"https://orcid.org/0000-0001-6062-2619"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian He","raw_affiliation_strings":["University of Minnesota"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6262,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83576271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998000264167786,"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/T10524","display_name":"Traffic control and management","score":0.9889000058174133,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9803000092506409,"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/taxis","display_name":"Taxis","score":0.8104169368743896},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.7391612529754639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.706739604473114},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6597873568534851},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5816743969917297},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47847980260849},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.47826826572418213},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3222641348838806},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15106317400932312},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.14721813797950745},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11844640970230103},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11506372690200806},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10962793231010437},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09674304723739624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09549400210380554}],"concepts":[{"id":"https://openalex.org/C183373512","wikidata":"https://www.wikidata.org/wiki/Q949618","display_name":"Taxis","level":2,"score":0.8104169368743896},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.7391612529754639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706739604473114},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6597873568534851},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5816743969917297},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47847980260849},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.47826826572418213},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3222641348838806},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15106317400932312},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.14721813797950745},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11844640970230103},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11506372690200806},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10962793231010437},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09674304723739624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09549400210380554},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2996913.2996918","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2996913.2996918","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2996918&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2996913.2996918","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2996913.2996918","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2996918&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G2859735059","display_name":null,"funder_award_id":"2015CB352400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G35484025","display_name":null,"funder_award_id":"CNS-1446640 CNS-1544887","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3843066825","display_name":null,"funder_award_id":"CNS-1446640","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7116660432","display_name":null,"funder_award_id":"CNS-1446640 and CNS-1544887","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8578577417","display_name":"CPS: TTP Option: Synergy: Collaborative Research: Dynamic Methods of Traffic Control that Impact Quality of Life in Smart Cities","funder_award_id":"1544887","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2562854847.pdf","grobid_xml":"https://content.openalex.org/works/W2562854847.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1977656637","https://openalex.org/W1986320533","https://openalex.org/W1987861412","https://openalex.org/W2015535425","https://openalex.org/W2024165284","https://openalex.org/W2048679005","https://openalex.org/W2050134713","https://openalex.org/W2060570510","https://openalex.org/W2065455281","https://openalex.org/W2078212374","https://openalex.org/W2083923249","https://openalex.org/W2089076789","https://openalex.org/W2102937240","https://openalex.org/W2108335025","https://openalex.org/W2132968912","https://openalex.org/W2136189599","https://openalex.org/W2138198492","https://openalex.org/W2142328146","https://openalex.org/W2163543436","https://openalex.org/W2172041433","https://openalex.org/W2803579851","https://openalex.org/W2954749449","https://openalex.org/W4244633107"],"related_works":["https://openalex.org/W2731640799","https://openalex.org/W3145095895","https://openalex.org/W2594548639","https://openalex.org/W4387544810","https://openalex.org/W2978498151","https://openalex.org/W2782837293","https://openalex.org/W1946755446","https://openalex.org/W2388377527","https://openalex.org/W565532978","https://openalex.org/W2897012299"],"abstract_inverted_index":{"Real-time":[0],"traffic":[1,84,137],"modeling":[2],"at":[3,60,92],"national":[4,53,61,93],"scale":[5,62,94],"is":[6,14,30],"essential":[7],"to":[8,18,52,66,82,135],"many":[9],"applications,":[10],"but":[11],"its":[12,19],"calibration":[13,34,80,110,159],"extremely":[15],"challenging":[16],"due":[17],"large":[20],"spatial":[21],"and":[22,116,123,142],"fine":[23],"temporal":[24],"coverage.":[25],"The":[26,151],"existing":[27],"work":[28],"mostly":[29],"focused":[31],"on":[32,87,113,139,162],"urban-scale":[33],"with":[35,126,132,146,164],"complete":[36,56],"field":[37,58],"data":[38,41,59,90],"from":[39],"single":[40],"sources":[42,91],"(e.g.,":[43],"loop":[44],"sensors":[45],"or":[46],"taxis),":[47],"which":[48],"cannot":[49],"be":[50],"generalized":[51],"scale,":[54],"because":[55],"single-source":[57],"are":[63],"almost":[64],"impossible":[65],"obtain.":[67],"To":[68],"address":[69],"this":[70,73],"challenge,":[71],"in":[72,95],"paper,":[74],"we":[75,104,121],"design":[76],"MultiCalib,":[77],"a":[78,107],"model":[79,109],"framework":[81],"optimize":[83],"models":[85],"based":[86,112],"multiple":[88],"incomplete":[89],"real":[96],"time.":[97],"Instead":[98],"of":[99],"naively":[100],"combining":[101],"multi-source":[102,108],"data,":[103],"theoretically":[105],"formulate":[106],"problem":[111],"real-world":[114],"contexts":[115],"multi-view":[117],"learning.":[118],"More":[119],"importantly,":[120],"implement":[122],"evaluate":[124],"MultiCalib":[125,155],"two":[127],"heterogeneous":[128],"nationwide":[129],"vehicle":[130],"networks":[131],"340,000":[133],"vehicles":[134],"infer":[136],"conditions":[138],"36":[140],"expressways":[141],"119":[143],"highways,":[144],"along":[145],"4":[147],"cities":[148],"across":[149],"China.":[150],"results":[152],"show":[153],"that":[154],"outperforms":[156],"state-of-the-":[157],"art":[158],"by":[160],"25%":[161],"average":[163],"same":[165],"input":[166],"data.":[167]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2017-01-06T00:00:00"}