{"id":"https://openalex.org/W2963945905","doi":"https://doi.org/10.1609/aaai.v33i01.33016120","title":"TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents","display_name":"TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2963945905","doi":"https://doi.org/10.1609/aaai.v33i01.33016120","mag":"2963945905"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33016120","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016120","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4569/4447","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4569/4447","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102015139","display_name":"Yuexin Ma","orcid":"https://orcid.org/0000-0001-7237-988X"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuexin Ma","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005226727","display_name":"Xinge Zhu","orcid":"https://orcid.org/0000-0003-0107-8099"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xinge Zhu","raw_affiliation_strings":["The Chinese University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101704266","display_name":"Sibo Zhang","orcid":"https://orcid.org/0000-0003-1037-3970"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sibo Zhang","raw_affiliation_strings":["Baidu, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu, Inc","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076524203","display_name":"Ruigang Yang","orcid":"https://orcid.org/0000-0001-5296-6307"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruigang Yang","raw_affiliation_strings":["Baidu, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu, Inc","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668416","display_name":"Wenping Wang","orcid":"https://orcid.org/0000-0002-2284-3952"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenping Wang","raw_affiliation_strings":["The University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004194238","display_name":"Dinesh Manocha","orcid":"https://orcid.org/0000-0001-7047-9801"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinesh Manocha","raw_affiliation_strings":["University of Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":101.3233,"has_fulltext":true,"cited_by_count":412,"citation_normalized_percentile":{"value":0.99957618,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"33","issue":"01","first_page":"6120","last_page":"6127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9954000115394592,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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":0.8039534091949463},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7866966128349304},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5996142625808716},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5077760815620422},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.507621169090271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4872121214866638},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4631120264530182},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3480166792869568},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07361093163490295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8039534091949463},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7866966128349304},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5996142625808716},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5077760815620422},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.507621169090271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4872121214866638},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4631120264530182},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3480166792869568},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07361093163490295},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33016120","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016120","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4569/4447","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4569","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4569","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33016120","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016120","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4569/4447","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1128611180","display_name":null,"funder_award_id":"W911NF-16-1-0085","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963945905.pdf","grobid_xml":"https://content.openalex.org/works/W2963945905.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W592244745","https://openalex.org/W1502922572","https://openalex.org/W1522301498","https://openalex.org/W1895577753","https://openalex.org/W2070678348","https://openalex.org/W2102113734","https://openalex.org/W2104806250","https://openalex.org/W2105934661","https://openalex.org/W2115579991","https://openalex.org/W2124609748","https://openalex.org/W2146183743","https://openalex.org/W2149584629","https://openalex.org/W2166813035","https://openalex.org/W2167052694","https://openalex.org/W2176353499","https://openalex.org/W2340897893","https://openalex.org/W2418081708","https://openalex.org/W2424778531","https://openalex.org/W2532516272","https://openalex.org/W2607296803","https://openalex.org/W2608536805","https://openalex.org/W2725966527","https://openalex.org/W2741593826","https://openalex.org/W2766836212","https://openalex.org/W2785087639","https://openalex.org/W2791858758","https://openalex.org/W2794787653","https://openalex.org/W2795936832","https://openalex.org/W2799641908","https://openalex.org/W2949767467","https://openalex.org/W2963001155","https://openalex.org/W2963165299","https://openalex.org/W2963292632","https://openalex.org/W2963309363","https://openalex.org/W2963914175","https://openalex.org/W2964107195","https://openalex.org/W2964193755","https://openalex.org/W3105115779","https://openalex.org/W4385245566","https://openalex.org/W6617744952","https://openalex.org/W6629804754","https://openalex.org/W6639657675","https://openalex.org/W6642625203","https://openalex.org/W6677174981","https://openalex.org/W6678478692","https://openalex.org/W6684820515","https://openalex.org/W6697011368","https://openalex.org/W6749170130"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W2045408812","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W2081647779","https://openalex.org/W3170094116"],"abstract_inverted_index":{"To":[0,53],"safely":[1],"and":[2,26,38,79,81,119,131,147],"efficiently":[3],"navigate":[4],"in":[5,15,111],"complex":[6],"urban":[7],"traffic,":[8],"autonomous":[9,47],"vehicles":[10],"must":[11],"make":[12,49],"responsible":[13],"predictions":[14],"relation":[16],"to":[17,30,44,75,86,93,97,103],"surrounding":[18],"traffic-agents":[19,37],"(vehicles,":[20],"bicycles,":[21,130],"pedestrians,":[22],"etc.).":[23],"A":[24],"challenging":[25,126],"critical":[27],"task":[28],"is":[29],"explore":[31],"the":[32,46,88,94,99,139],"movement":[33],"patterns":[34],"of":[35,90,116,141],"different":[36],"predict":[39],"their":[40],"future":[41],"trajectories":[42],"accurately":[43],"help":[45],"vehicle":[48],"reasonable":[50],"navigation":[51],"decision.":[52],"solve":[54],"this":[55],"problem,":[56],"we":[57,107],"propose":[58],"a":[59,83,112],"long":[60],"short-term":[61],"memory-based":[62],"(LSTM-based)":[63],"realtime":[64],"traffic":[65,120],"prediction":[66,154,159],"algorithm,":[67],"TrafficPredict.":[68],"Our":[69],"approach":[70],"uses":[71],"an":[72],"instance":[73],"layer":[74,85],"learn":[76,87],"instances\u2019":[77],"movements":[78],"interactions":[80],"has":[82],"category":[84],"similarities":[89],"instances":[91],"belonging":[92],"same":[95],"type":[96],"refine":[98],"prediction.":[100],"In":[101],"order":[102],"evaluate":[104,138],"its":[105,149],"performance,":[106],"collected":[108],"trajectory":[109,153],"datasets":[110],"large":[113],"city":[114],"consisting":[115],"varying":[117],"conditions":[118],"densities.":[121],"The":[122],"dataset":[123,146],"includes":[124],"many":[125],"scenarios":[127],"where":[128],"vehicles,":[129],"pedestrians":[132],"move":[133],"among":[134],"one":[135],"another.":[136],"We":[137],"performance":[140],"TrafficPredict":[142],"on":[143],"our":[144],"new":[145],"highlight":[148],"higher":[150],"accuracy":[151],"for":[152],"by":[155],"comparing":[156],"with":[157],"prior":[158],"methods.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":44},{"year":2024,"cited_by_count":51},{"year":2023,"cited_by_count":65},{"year":2022,"cited_by_count":59},{"year":2021,"cited_by_count":78},{"year":2020,"cited_by_count":88},{"year":2019,"cited_by_count":22}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}