{"id":"https://openalex.org/W3157414468","doi":"https://doi.org/10.1109/tkde.2021.3077056","title":"DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction","display_name":"DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3157414468","doi":"https://doi.org/10.1109/tkde.2021.3077056","mag":"3157414468"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2021.3077056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3077056","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5040449880","display_name":"Renhe Jiang","orcid":"https://orcid.org/0000-0003-2593-4638"},"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":true,"raw_author_name":"Renhe Jiang","raw_affiliation_strings":["Information Technology Center; Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: jiangrh@csis.u-tokyo.ac.jp)","Information Technology Center"],"affiliations":[{"raw_affiliation_string":"Information Technology Center; Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: jiangrh@csis.u-tokyo.ac.jp)","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Information Technology Center","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108659841","display_name":"Zekun Cai","orcid":null},"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":"Zekun Cai","raw_affiliation_strings":["Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: caizekun@csis.u-tokyo.ac.jp)"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: caizekun@csis.u-tokyo.ac.jp)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070106281","display_name":"Zhaonan Wang","orcid":"https://orcid.org/0000-0002-2613-9727"},"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":"Zhaonan Wang","raw_affiliation_strings":["Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: zn.wang@aist.go.jp)"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: zn.wang@aist.go.jp)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045086499","display_name":"Chuang Yang","orcid":"https://orcid.org/0000-0002-8504-0057"},"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"]},{"id":"https://openalex.org/I96679780","display_name":"Chuo University","ror":"https://ror.org/03qvqb743","country_code":"JP","type":"education","lineage":["https://openalex.org/I96679780"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chuang Yang","raw_affiliation_strings":["Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: chuang.yang@csis.u-tokyo.ac.jp)"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: chuang.yang@csis.u-tokyo.ac.jp)","institution_ids":["https://openalex.org/I96679780","https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009062546","display_name":"Zipei Fan","orcid":"https://orcid.org/0000-0002-1442-1530"},"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":"Zipei Fan","raw_affiliation_strings":["Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Chiba, Japan, 113-0033 (e-mail: fanzipei@iis.u-tokyo.ac.jp)"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Chiba, Japan, 113-0033 (e-mail: fanzipei@iis.u-tokyo.ac.jp)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074092636","display_name":"Quanjun Chen","orcid":"https://orcid.org/0000-0001-6528-2924"},"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":"Quanjun Chen","raw_affiliation_strings":["Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: chen1990@iis.u-tokyo.ac.jp)","[Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: chen1990@iis.u-tokyo.ac.jp)]"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: chen1990@iis.u-tokyo.ac.jp)","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"[Center for Spatial Information Science, The University of Tokyo, 13143 Bunkyo-ku, Tokyo, Japan, (e-mail: chen1990@iis.u-tokyo.ac.jp)]","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043621466","display_name":"Kota Tsubouchi","orcid":"https://orcid.org/0000-0002-7753-8939"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]},{"id":"https://openalex.org/I1325784139","display_name":"Yahoo (United Kingdom)","ror":"https://ror.org/038p3gq39","country_code":"GB","type":"company","lineage":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Kota Tsubouchi","raw_affiliation_strings":["Yahoo Japan Research, Yahoo Japan Corporation, 385145 Chiyoda-ku, Tokyo-to, Japan, (e-mail: ktsubouc@yahoo-corp.jp)","[Yahoo Japan Research, Yahoo Japan Corporation, 385145 Chiyoda-ku, Tokyo-to, Japan, (e-mail: ktsubouc@yahoo-corp.jp)]"],"affiliations":[{"raw_affiliation_string":"Yahoo Japan Research, Yahoo Japan Corporation, 385145 Chiyoda-ku, Tokyo-to, Japan, (e-mail: ktsubouc@yahoo-corp.jp)","institution_ids":["https://openalex.org/I1325784139","https://openalex.org/I4210134091"]},{"raw_affiliation_string":"[Yahoo Japan Research, Yahoo Japan Corporation, 385145 Chiyoda-ku, Tokyo-to, Japan, (e-mail: ktsubouc@yahoo-corp.jp)]","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046856721","display_name":"Xuan Song","orcid":"https://orcid.org/0000-0003-4042-7888"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Song","raw_affiliation_strings":["SUSTech-UTokyo Joint Research Center on Super Smart City, Department of Computer Science and Engineering, Southern University of Science and Technology, 255310 Shenzhen, Guangdong, China, (e-mail: songxuan@csis.u-tokyo.ac.jp)"],"affiliations":[{"raw_affiliation_string":"SUSTech-UTokyo Joint Research Center on Super Smart City, Department of Computer Science and Engineering, Southern University of Science and Technology, 255310 Shenzhen, Guangdong, China, (e-mail: songxuan@csis.u-tokyo.ac.jp)","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105206953","display_name":"Ryosuke Shibasaki","orcid":"https://orcid.org/0000-0001-8760-244X"},"institutions":[{"id":"https://openalex.org/I14396692","display_name":"Tokyo University of Information Sciences","ror":"https://ror.org/044bdx604","country_code":"JP","type":"education","lineage":["https://openalex.org/I14396692"]},{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryosuke Shibasaki","raw_affiliation_strings":["Center for Spatial Information Science, University of Tokyo, Tokyo, Tokyo, Japan, (e-mail: shiba@csis.u-tokyo.ac.jp)","[Center for Spatial Information Science, University of Tokyo, Tokyo, Tokyo, Japan, (e-mail: shiba@csis.u-tokyo.ac.jp)]"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science, University of Tokyo, Tokyo, Tokyo, Japan, (e-mail: shiba@csis.u-tokyo.ac.jp)","institution_ids":["https://openalex.org/I14396692"]},{"raw_affiliation_string":"[Center for Spatial Information Science, University of Tokyo, Tokyo, Tokyo, Japan, (e-mail: shiba@csis.u-tokyo.ac.jp)]","institution_ids":["https://openalex.org/I14396692","https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5040449880"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":6.8969,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.9784169,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9922000169754028,"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":0.8101426362991333},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5331823825836182},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.529385507106781},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5182785391807556},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5169283747673035},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.49382027983665466},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48008328676223755},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.4732136130332947},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44833052158355713},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43855342268943787},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.42277923226356506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3843322694301605},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33882471919059753},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12434875965118408}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8101426362991333},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5331823825836182},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.529385507106781},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5182785391807556},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5169283747673035},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.49382027983665466},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48008328676223755},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.4732136130332947},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44833052158355713},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43855342268943787},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.42277923226356506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3843322694301605},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33882471919059753},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12434875965118408},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2021.3077056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2021.3077056","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1197778147","display_name":null,"funder_award_id":"Grant-in-Aid for Early-Career Scientists (20K19859","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W939076788","https://openalex.org/W1485009520","https://openalex.org/W1937847179","https://openalex.org/W1976094288","https://openalex.org/W1977153226","https://openalex.org/W2004353783","https://openalex.org/W2017921654","https://openalex.org/W2020934359","https://openalex.org/W2027047167","https://openalex.org/W2036785686","https://openalex.org/W2062017159","https://openalex.org/W2075433852","https://openalex.org/W2091745653","https://openalex.org/W2112738128","https://openalex.org/W2133400794","https://openalex.org/W2165991108","https://openalex.org/W2184188583","https://openalex.org/W2304101694","https://openalex.org/W2385600359","https://openalex.org/W2515454571","https://openalex.org/W2528040708","https://openalex.org/W2528639018","https://openalex.org/W2530386080","https://openalex.org/W2539781657","https://openalex.org/W2565639579","https://openalex.org/W2567667405","https://openalex.org/W2572984335","https://openalex.org/W2604645045","https://openalex.org/W2614121823","https://openalex.org/W2750303327","https://openalex.org/W2756203131","https://openalex.org/W2783519195","https://openalex.org/W2788114581","https://openalex.org/W2788134583","https://openalex.org/W2788997482","https://openalex.org/W2807732503","https://openalex.org/W2808008404","https://openalex.org/W2808377988","https://openalex.org/W2808862972","https://openalex.org/W2809035759","https://openalex.org/W2809128166","https://openalex.org/W2809623940","https://openalex.org/W2901165057","https://openalex.org/W2904048914","https://openalex.org/W2904813135","https://openalex.org/W2904832339","https://openalex.org/W2910892140","https://openalex.org/W2911535719","https://openalex.org/W2911662370","https://openalex.org/W2911826336","https://openalex.org/W2950099298","https://openalex.org/W2950817888","https://openalex.org/W2952734551","https://openalex.org/W2962790412","https://openalex.org/W2963150697","https://openalex.org/W3103720336","https://openalex.org/W4385245566","https://openalex.org/W6620707391","https://openalex.org/W6644426853","https://openalex.org/W6659849045","https://openalex.org/W6686207219","https://openalex.org/W6731786745","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417"],"abstract_inverted_index":{"Predicting":[0],"the":[1,6,18,109,132,187,190],"density":[2,110],"and":[3,21,47,66,102,111,116,147,169,179],"flow":[4,113],"of":[5,61,90,189],"crowd":[7,65,101,154],"or":[8],"traffic":[9,45,67],"at":[10],"a":[11,28,54,59,70,88,118,126,158],"citywide":[12,64,100],"level":[13],"becomes":[14],"possible":[15],"by":[16,52,165],"using":[17],"big":[19],"data":[20],"cutting-edge":[22],"AI":[23],"technologies.":[24],"It":[25],"has":[26],"been":[27,93],"very":[29],"significant":[30],"research":[31],"topic":[32],"with":[33,77,131],"high":[34,148],"social":[35],"impact,":[36],"which":[37],"can":[38,74],"be":[39,75],"widely":[40],"applied":[41],"to":[42,58,95,185,194],"emergency":[43],"management,":[44],"regulation,":[46],"urban":[48,56],"planning.":[49],"In":[50,104],"particular,":[51],"meshing":[53],"large":[55,141],"area":[57],"number":[60],"fine-grained":[62,144],"mesh-grids,":[63],"information":[68],"in":[69],"continuous":[71],"time":[72],"period":[73],"represented":[76],"4D":[78],"tensor":[79],"(Timestep,":[80],"Height,":[81],"Width,":[82],"Channel).":[83],"Based":[84],"on":[85,174],"this":[86,105,152],"idea,":[87],"series":[89],"methods":[91],"have":[92],"proposed":[94,191],"address":[96],"grid-based":[97],"prediction":[98,114],"for":[99],"traffic.":[103],"study,":[106],"we":[107,156],"revisit":[108],"in-out":[112],"problem":[115],"publish":[117],"new":[119],"aggregated":[120],"human":[121],"mobility":[122],"dataset":[123,136],"generated":[124],"from":[125],"real-world":[127],"smartphone":[128],"application.":[129],"Comparing":[130],"existing":[133],"ones,":[134],"our":[135],"holds":[137],"several":[138],"advantages":[139],"including":[140],"mesh-grid":[142],"number,":[143],"mesh":[145],"size,":[146],"user":[149],"sample.":[150],"Towards":[151],"large-scale":[153],"dataset,":[155],"propose":[157],"novel":[159],"deep":[160],"learning":[161],"model":[162],"called":[163],"DeepCrowd":[164,192],"designing":[166],"pyramid":[167],"architectures":[168],"high-dimensional":[170],"attention":[171],"mechanism":[172],"based":[173],"Convolutional":[175],"LSTM.":[176],"Lastly,":[177],"thorough":[178],"comprehensive":[180],"performance":[181],"evaluations":[182],"are":[183],"conducted":[184],"demonstrate":[186],"superiority":[188],"comparing":[193],"multiple":[195],"state-of-the-art":[196],"methods.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-01T08:55:55.761014","created_date":"2025-10-10T00:00:00"}
