{"id":"https://openalex.org/W3210806716","doi":"https://doi.org/10.1109/itsc48978.2021.9565132","title":"Learning Congestion Propagation Behaviors for Traffic Prediction","display_name":"Learning Congestion Propagation Behaviors for Traffic Prediction","publication_year":2021,"publication_date":"2021-09-19","ids":{"openalex":"https://openalex.org/W3210806716","doi":"https://doi.org/10.1109/itsc48978.2021.9565132","mag":"3210806716"},"language":"en","primary_location":{"id":"doi:10.1109/itsc48978.2021.9565132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9565132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dr.ntu.edu.sg/bitstream/10356/153857/2/ITSC2021_Paper531_Final.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sun Yidan","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sun Yidan","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053523719","display_name":"Peilan He","orcid":"https://orcid.org/0000-0002-7411-2801"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"He Peilan","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076931362","display_name":"Guiyuan Jiang","orcid":"https://orcid.org/0000-0002-1398-821X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiang Guiyuan","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002694277","display_name":"Siew-Kei Lam","orcid":"https://orcid.org/0000-0002-8346-2635"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Siew-Kei Lam","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.243,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55240044,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"33","issue":null,"first_page":"2175","last_page":"2180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":1.0,"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":1.0,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9955000281333923,"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/T10524","display_name":"Traffic control and management","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7231903672218323},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.562060534954071},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5453273057937622},{"id":"https://openalex.org/keywords/traffic-congestion-reconstruction-with-kerners-three-phase-theory","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","score":0.5352417230606079},{"id":"https://openalex.org/keywords/traffic-speed","display_name":"Traffic speed","score":0.4776157736778259},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4320453703403473},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41242408752441406},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36899861693382263},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15908530354499817},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.15523934364318848},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1549479067325592},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12087017297744751}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7231903672218323},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.562060534954071},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5453273057937622},{"id":"https://openalex.org/C25492975","wikidata":"https://www.wikidata.org/wiki/Q960570","display_name":"Traffic congestion reconstruction with Kerner's three-phase theory","level":3,"score":0.5352417230606079},{"id":"https://openalex.org/C2993660032","wikidata":"https://www.wikidata.org/wiki/Q746984","display_name":"Traffic speed","level":2,"score":0.4776157736778259},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4320453703403473},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41242408752441406},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36899861693382263},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15908530354499817},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.15523934364318848},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1549479067325592},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12087017297744751},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itsc48978.2021.9565132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc48978.2021.9565132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Intelligent Transportation Systems Conference (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/153857","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/153857","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/153857/2/ITSC2021_Paper531_Final.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:dr.ntu.edu.sg:10356/153857","is_oa":true,"landing_page_url":"https://hdl.handle.net/10356/153857","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/153857/2/ITSC2021_Paper531_Final.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3210806716.pdf","grobid_xml":"https://content.openalex.org/works/W3210806716.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2392708022","https://openalex.org/W2463516922","https://openalex.org/W2565115916","https://openalex.org/W2756203131","https://openalex.org/W2768008502","https://openalex.org/W2788503006","https://openalex.org/W2903871660","https://openalex.org/W2943963274","https://openalex.org/W2947169932","https://openalex.org/W2950817888","https://openalex.org/W2959057294","https://openalex.org/W2963358464","https://openalex.org/W2965341826","https://openalex.org/W2968259729","https://openalex.org/W2982601027","https://openalex.org/W2996451395","https://openalex.org/W2999796583","https://openalex.org/W3044232422","https://openalex.org/W3080758772","https://openalex.org/W3103720336","https://openalex.org/W3110353846","https://openalex.org/W3112446002","https://openalex.org/W3114481054","https://openalex.org/W3117808219","https://openalex.org/W3139401307","https://openalex.org/W6762978078","https://openalex.org/W6787371840"],"related_works":["https://openalex.org/W301804496","https://openalex.org/W4391115038","https://openalex.org/W1993589848","https://openalex.org/W2074943018","https://openalex.org/W2042439812","https://openalex.org/W2972320057","https://openalex.org/W2897741166","https://openalex.org/W2587362999","https://openalex.org/W4390987329","https://openalex.org/W2361581724"],"abstract_inverted_index":{"Traffic":[0],"prediction":[1,72,84,147],"is":[2,10,93],"a":[3,69],"challenging":[4],"task":[5],"as":[6],"the":[7,21,48,78,97,103,112,139,151],"traffic":[8,27,71,99,116,146,158],"flow":[9,28],"influenced":[11],"by":[12],"many":[13],"seasonal,":[14],"stochastic,":[15],"and":[16,23,32,51,124,149],"structural":[17],"factors.":[18],"In":[19,64],"addition,":[20],"spatial":[22,49,98],"temporal":[24,52],"distribution":[25],"of":[26,114,141,153],"can":[29],"induce":[30],"direct":[31],"indirect":[33],"congestion":[34,58,79,104,154],"propagation":[35,59,80,105,155],"patterns.":[36],"While":[37],"existing":[38],"works":[39],"have":[40],"attempted":[41],"to":[42,46,56,82,95],"model":[43,73,92,108],"spatial-temporal":[44],"graphs":[45],"capture":[47,96],"correlations":[50,100],"dependencies,":[53],"they":[54],"fail":[55],"consider":[57],"behavior":[60,156],"among":[61],"road":[62,119],"segments.":[63],"this":[65],"paper,":[66],"we":[67],"propose":[68],"novel":[70,87],"that":[74],"takes":[75],"into":[76],"account":[77],"tendencies":[81],"improve":[83],"accuracy.":[85],"A":[86],"diffusion":[88],"graph":[89],"convolution":[90],"network":[91],"developed":[94],"while":[101],"considering":[102],"behavior.":[106],"Our":[107],"also":[109],"jointly":[110],"learns":[111],"importance":[113],"seasonal":[115],"speed":[117],"correlations,":[118],"contextual":[120],"information":[121],"(structural":[122],"information),":[123],"stochastic":[125],"factors":[126],"(external":[127],"factors)":[128],"through":[129],"an":[130],"attention":[131],"layer.":[132],"Experimental":[133],"results":[134],"on":[135],"real-world":[136],"data-set":[137],"demonstrate":[138],"superiority":[140],"our":[142],"method":[143],"over":[144],"state-of-the-art":[145],"techniques,":[148],"confirm":[150],"significance":[152],"in":[157],"prediction.":[159]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2021-11-08T00:00:00"}
