{"id":"https://openalex.org/W4321471638","doi":"https://doi.org/10.1145/3576842.3582362","title":"Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting","display_name":"Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4321471638","doi":"https://doi.org/10.1145/3576842.3582362"},"language":"en","primary_location":{"id":"doi:10.1145/3576842.3582362","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3576842.3582362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2302.09956","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066321379","display_name":"Arian Prabowo","orcid":"https://orcid.org/0000-0002-0459-354X"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Arian Prabowo","raw_affiliation_strings":["School of Computing Technologies, RMIT University, Australia and Data61, CSIRO, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0459-354X","affiliations":[{"raw_affiliation_string":"School of Computing Technologies, RMIT University, Australia and Data61, CSIRO, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679","https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100612383","display_name":"Wei Shao","orcid":"https://orcid.org/0000-0002-9873-8331"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Shao","raw_affiliation_strings":["UC Davis, USA"],"raw_orcid":"https://orcid.org/0000-0002-9873-8331","affiliations":[{"raw_affiliation_string":"UC Davis, USA","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000564739","display_name":"Hao Xue","orcid":"https://orcid.org/0000-0003-1700-9215"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hao Xue","raw_affiliation_strings":["UNSW Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1700-9215","affiliations":[{"raw_affiliation_string":"UNSW Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002212263","display_name":"Piotr Koniusz","orcid":"https://orcid.org/0000-0002-6340-5289"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Piotr Koniusz","raw_affiliation_strings":["Data61, CSIRO, Australia and ANU, Australia"],"raw_orcid":"https://orcid.org/0000-0002-6340-5289","affiliations":[{"raw_affiliation_string":"Data61, CSIRO, Australia and ANU, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090893421","display_name":"Flora D. Salim","orcid":"https://orcid.org/0000-0002-1237-1664"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Flora D. Salim","raw_affiliation_strings":["UNSW Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1237-1664","affiliations":[{"raw_affiliation_string":"UNSW Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"93","last_page":"104"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9976999759674072,"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":0.9969000220298767,"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":0.8178603649139404},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.719855785369873},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6447357535362244},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4941399395465851},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4735026955604553},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.46562808752059937},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4578685760498047},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4279564917087555},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.41064226627349854},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4039773643016815},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2881397306919098},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2680841088294983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2617169916629791}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8178603649139404},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.719855785369873},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6447357535362244},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4941399395465851},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4735026955604553},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.46562808752059937},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4578685760498047},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4279564917087555},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.41064226627349854},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4039773643016815},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2881397306919098},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2680841088294983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2617169916629791},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3576842.3582362","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3576842.3582362","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2302.09956","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.09956","pdf_url":"https://arxiv.org/pdf/2302.09956","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2302.09956","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.09956","pdf_url":"https://arxiv.org/pdf/2302.09956","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307791","display_name":"Cisco Systems","ror":"https://ror.org/03yt1ez60"},{"id":"https://openalex.org/F4320320386","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4321471638.pdf"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W626441390","https://openalex.org/W1973943669","https://openalex.org/W1982978808","https://openalex.org/W1984969638","https://openalex.org/W1996920238","https://openalex.org/W2022797785","https://openalex.org/W2027392238","https://openalex.org/W2036785686","https://openalex.org/W2049500727","https://openalex.org/W2080731889","https://openalex.org/W2118045096","https://openalex.org/W2125817951","https://openalex.org/W2132711183","https://openalex.org/W2133564696","https://openalex.org/W2157331557","https://openalex.org/W2160507653","https://openalex.org/W2171234954","https://openalex.org/W2194775991","https://openalex.org/W2519091744","https://openalex.org/W2572939427","https://openalex.org/W2756203131","https://openalex.org/W2903871660","https://openalex.org/W2950817888","https://openalex.org/W2963241951","https://openalex.org/W2963358464","https://openalex.org/W2964015378","https://openalex.org/W2969937244","https://openalex.org/W2975321383","https://openalex.org/W2988223877","https://openalex.org/W2988226917","https://openalex.org/W2989847038","https://openalex.org/W2995785141","https://openalex.org/W2996847713","https://openalex.org/W2997848713","https://openalex.org/W3007912973","https://openalex.org/W3012562343","https://openalex.org/W3034445277","https://openalex.org/W3038156700","https://openalex.org/W3038981236","https://openalex.org/W3041552048","https://openalex.org/W3045202147","https://openalex.org/W3055194044","https://openalex.org/W3080253043","https://openalex.org/W3094588037","https://openalex.org/W3103720336","https://openalex.org/W3105412460","https://openalex.org/W3115431207","https://openalex.org/W3119114404","https://openalex.org/W3125445645","https://openalex.org/W3133891980","https://openalex.org/W3155328257","https://openalex.org/W3157286395","https://openalex.org/W3158304688","https://openalex.org/W3162199293","https://openalex.org/W3169292842","https://openalex.org/W3193100408","https://openalex.org/W3195645930","https://openalex.org/W3200770258","https://openalex.org/W3202610094","https://openalex.org/W3203011025","https://openalex.org/W3208180934","https://openalex.org/W3213632375","https://openalex.org/W4220689021","https://openalex.org/W4230512065","https://openalex.org/W4285723986","https://openalex.org/W4292779060","https://openalex.org/W4294558607","https://openalex.org/W4382318032","https://openalex.org/W4385245566","https://openalex.org/W6803841224"],"related_works":["https://openalex.org/W3134175397","https://openalex.org/W3036264823","https://openalex.org/W3206528106","https://openalex.org/W2912814903","https://openalex.org/W2123605750","https://openalex.org/W2088740331","https://openalex.org/W2950907416","https://openalex.org/W3038102983","https://openalex.org/W1559483280","https://openalex.org/W2082479932"],"abstract_inverted_index":{"Traffic":[0],"forecasting":[1],"is":[2,13,127,178],"a":[3,66,80,100],"critical":[4],"task":[5],"to":[6,21,43,60,113,118,131,145],"extract":[7],"values":[8],"from":[9],"cyber-physical":[10],"infrastructures,":[11],"which":[12],"the":[14,24,33,90,115,121,132,147,164],"backbone":[15],"of":[16,76,135],"smart":[17],"transportation.":[18],"However":[19],"owing":[20],"external":[22],"contexts,":[23],"dynamics":[25,92],"at":[26,36,93],"each":[27,63,74,136],"sensor":[28,64,95],"are":[29,40],"unique.":[30],"For":[31],"example,":[32],"afternoon":[34],"peaks":[35],"sensors":[37,77,126],"near":[38,48],"schools":[39],"more":[41],"likely":[42],"occur":[44],"earlier":[45],"than":[46],"those":[47],"residential":[49],"areas.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54,84,98,109,139,161],"first":[55],"analyze":[56],"real-world":[57],"traffic":[58,151,172],"data":[59],"show":[61,162],"that":[62,73,120,163],"has":[65,79],"unique":[67,81,91,133],"dynamic.":[68,82],"Further":[69],"analysis":[70],"also":[71,78],"shows":[72],"pair":[75],"Then,":[83],"explore":[85],"how":[86],"node":[87,111],"embedding":[88,112],"learns":[89],"every":[94],"location.":[96],"Next,":[97],"propose":[99],"novel":[101],"module":[102],"called":[103],"Spatial":[104],"Graph":[105,141],"Transformers":[106],"(SGT)":[107],"where":[108],"use":[110],"leverage":[114],"self-attention":[116],"mechanism":[117],"ensure":[119],"information":[122],"flow":[123,175],"between":[124],"two":[125],"adaptive":[128],"with":[129],"respect":[130],"dynamic":[134],"pair.":[137],"Finally,":[138],"present":[140],"Self-attention":[142],"WaveNet":[143],"(G-SWaN)":[144],"address":[146],"complex,":[148],"non-linear":[149],"spatiotemporal":[150],"dynamics.":[152],"Through":[153],"empirical":[154],"experiments":[155],"on":[156,170],"four":[157],"real-world,":[158],"open":[159],"datasets,":[160],"proposed":[165],"method":[166],"achieves":[167],"superior":[168],"performance":[169],"both":[171],"speed":[173],"and":[174],"forecasting.":[176],"Code":[177],"available":[179],"at:":[180],"https://github.com/aprbw/G-SWaN":[181]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2023-02-22T00:00:00"}