{"id":"https://openalex.org/W3006983266","doi":"https://doi.org/10.1109/tii.2020.2976777","title":"TraG: A Trajectory Generation Technique for Simulating Urban Crowd Mobility","display_name":"TraG: A Trajectory Generation Technique for Simulating Urban Crowd Mobility","publication_year":2020,"publication_date":"2020-02-27","ids":{"openalex":"https://openalex.org/W3006983266","doi":"https://doi.org/10.1109/tii.2020.2976777","mag":"3006983266"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2020.2976777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.2976777","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Industrial Informatics","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/A5100737918","display_name":"Kang Xu","orcid":"https://orcid.org/0000-0003-1001-6287"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Kang","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1001-6287","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322368","display_name":"Liang Liu","orcid":"https://orcid.org/0000-0002-5040-2468"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Liu","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5040-2468","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366122","display_name":"Dong Zhao","orcid":"https://orcid.org/0000-0002-7337-9168"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhao","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100710713","display_name":"Huad\u00f3ng Ma","orcid":"https://orcid.org/0000-0002-7199-5047"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huadong Ma","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7199-5047","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":2.4198,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89290843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"17","issue":"2","first_page":"820","last_page":"829"},"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":0.9998999834060669,"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"}},"topics":[{"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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7344847917556763},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7315875291824341},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6371769905090332},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6101061701774597},{"id":"https://openalex.org/keywords/mobility-model","display_name":"Mobility model","score":0.5956921577453613},{"id":"https://openalex.org/keywords/crowd-simulation","display_name":"Crowd simulation","score":0.5669921040534973},{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.5100246071815491},{"id":"https://openalex.org/keywords/urban-computing","display_name":"Urban computing","score":0.4828374981880188},{"id":"https://openalex.org/keywords/individual-mobility","display_name":"Individual mobility","score":0.47643619775772095},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.4451279044151306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35177260637283325},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3314546048641205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25612109899520874},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2522714138031006},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.19396793842315674},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1640482246875763},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11717674136161804},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11619842052459717}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7344847917556763},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7315875291824341},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6371769905090332},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6101061701774597},{"id":"https://openalex.org/C191485582","wikidata":"https://www.wikidata.org/wiki/Q6887309","display_name":"Mobility model","level":2,"score":0.5956921577453613},{"id":"https://openalex.org/C45617602","wikidata":"https://www.wikidata.org/wiki/Q465266","display_name":"Crowd simulation","level":3,"score":0.5669921040534973},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.5100246071815491},{"id":"https://openalex.org/C2778459138","wikidata":"https://www.wikidata.org/wiki/Q7900107","display_name":"Urban computing","level":2,"score":0.4828374981880188},{"id":"https://openalex.org/C2778068325","wikidata":"https://www.wikidata.org/wiki/Q19892785","display_name":"Individual mobility","level":2,"score":0.47643619775772095},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.4451279044151306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35177260637283325},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3314546048641205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25612109899520874},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2522714138031006},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.19396793842315674},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1640482246875763},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11717674136161804},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11619842052459717},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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/tii.2020.2976777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.2976777","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G1455690685","display_name":null,"funder_award_id":"61722201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2993257473","display_name":null,"funder_award_id":"61921003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3810807517","display_name":"\u5de5\u4e1a\u4e92\u8054\u7f51\u4f53\u7cfb\u7ed3\u6784\u53ca\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61632008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1892382968","https://openalex.org/W1972309850","https://openalex.org/W1982300822","https://openalex.org/W1982904338","https://openalex.org/W1990059871","https://openalex.org/W1998310770","https://openalex.org/W2001836435","https://openalex.org/W2015244507","https://openalex.org/W2056284729","https://openalex.org/W2064642055","https://openalex.org/W2078166679","https://openalex.org/W2083888899","https://openalex.org/W2083985819","https://openalex.org/W2084175025","https://openalex.org/W2101348276","https://openalex.org/W2109378880","https://openalex.org/W2110953678","https://openalex.org/W2114925746","https://openalex.org/W2128734758","https://openalex.org/W2132932625","https://openalex.org/W2133286823","https://openalex.org/W2160742791","https://openalex.org/W2165773639","https://openalex.org/W2167627514","https://openalex.org/W2168463792","https://openalex.org/W2168642961","https://openalex.org/W2169528473","https://openalex.org/W2172211955","https://openalex.org/W2262369271","https://openalex.org/W2294628100","https://openalex.org/W2528040708","https://openalex.org/W2734424493"],"related_works":["https://openalex.org/W2036586770","https://openalex.org/W2094931707","https://openalex.org/W2911613207","https://openalex.org/W3043995842","https://openalex.org/W2944838502","https://openalex.org/W2535198484","https://openalex.org/W2060401867","https://openalex.org/W4230189742","https://openalex.org/W2559730559","https://openalex.org/W2077952221"],"abstract_inverted_index":{"Mobility":[0],"models,":[1],"which":[2,92],"reproduce":[3],"traces":[4,105,134,143],"with":[5,73],"basic":[6],"crowd":[7,100,123,181],"mobility":[8,90,95,124,182],"patterns,":[9],"are":[10,43],"crucial":[11],"for":[12,25,49],"realistic":[13,48],"mobile":[14],"network":[15],"simulation":[16],"and":[17,34,56,88,139,147,163],"performance":[18],"evaluation":[19],"of":[20,54,76,96,122,180,191],"the":[21,74,85,94,102,118,152,157,164,168,176,189],"planning":[22],"strategies":[23],"used":[24],"urban":[26,50,99,192],"networks":[27],"(such":[28],"as":[29,46,67],"transit":[30],"network,":[31,33],"communication":[32],"crowdsensing":[35],"network).":[36],"However,":[37],"trajectories":[38,72,110,169],"generated":[39],"by":[40,171],"traditional":[41],"models":[42],"often":[44],"perceived":[45],"not":[47,173],"context":[51,86],"or":[52],"lack":[53],"scalability":[55],"universality.":[57],"This":[58],"article":[59],"presents":[60],"a":[61,97],"data-driven":[62],"trajectory":[63],"generating":[64],"technique,":[65],"named":[66],"TraG,":[68],"that":[69,167],"produces":[70],"synthetic":[71],"help":[75],"some":[77],"real-world":[78,128],"trajectories.":[79],"Our":[80],"technique":[81],"can":[82],"automatically":[83],"extract":[84],"features":[87,179,190],"statistical":[89,178],"features,":[91],"characterize":[93],"specific":[98],"from":[101,183],"input":[103],"empirical":[104],"and,":[106],"then,":[107],"regenerate":[108],"more":[109],"based":[111,125],"on":[112,126],"demand.":[113],"Moreover,":[114],"we":[115,150],"also":[116,187],"summarize":[117],"power-law":[119],"scale":[120],"correlation":[121],"four":[127],"open":[129],"datasets,":[130],"including":[131],"public":[132],"bicycle":[133],"in":[135,144],"New":[136],"York":[137],"City":[138],"Washington,":[140],"D.C.,":[141],"taxicab":[142,161],"San":[145,159],"Francisco":[146,160],"Shenzhen.":[148],"Finally,":[149],"validate":[151],"proposed":[153],"TraG":[154,172],"model":[155],"via":[156],"continuous":[158],"traces,":[162,185],"result":[165],"demonstrates":[166],"simulated":[170],"only":[174],"inherit":[175],"fundamental":[177],"real":[184],"but":[186],"reflect":[188],"context.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
