{"id":"https://openalex.org/W4386439697","doi":"https://doi.org/10.1145/3615587.3615985","title":"Long-sequence model for traffic forecasting in suboptimal situation","display_name":"Long-sequence model for traffic forecasting in suboptimal situation","publication_year":2023,"publication_date":"2023-09-05","ids":{"openalex":"https://openalex.org/W4386439697","doi":"https://doi.org/10.1145/3615587.3615985"},"language":"en","primary_location":{"id":"doi:10.1145/3615587.3615985","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3615587.3615985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Workshop on Mobility in the Evolving Internet Architecture","raw_type":"proceedings-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/A5008312507","display_name":"Mourad Lablack","orcid":"https://orcid.org/0000-0001-5997-7199"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mourad Lablack","raw_affiliation_strings":["Dalian University of Technology, School of Computer Science and Technology, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, School of Computer Science and Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004781883","display_name":"Shuo Yu","orcid":"https://orcid.org/0000-0003-1124-9509"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Yu","raw_affiliation_strings":["Dalian University of Technology, School of Computer Science and Technology, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, School of Computer Science and Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045837039","display_name":"Shuai Xu","orcid":"https://orcid.org/0000-0002-5734-3616"},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Xu","raw_affiliation_strings":["Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Nanjing, Jiangsu, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026378565","display_name":"Yanming Shen","orcid":"https://orcid.org/0000-0003-4108-0230"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanming Shen","raw_affiliation_strings":["Dalian University of Technology, School of Computer Science and Technology, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, School of Computer Science and Technology, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008312507"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.3148,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56174419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"30"},"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/T10524","display_name":"Traffic control and management","score":0.9937000274658203,"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"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9887999892234802,"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":0.7099552154541016},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6392479538917542},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5503114461898804},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5457824468612671},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5215851664543152},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4480946660041809},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44011157751083374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43390533328056335},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42658308148384094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36299896240234375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7099552154541016},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6392479538917542},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5503114461898804},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5457824468612671},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5215851664543152},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4480946660041809},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44011157751083374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43390533328056335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42658308148384094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36299896240234375},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3615587.3615985","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3615587.3615985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th Workshop on Mobility in the Evolving Internet Architecture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2756203131","https://openalex.org/W2903871660","https://openalex.org/W2987440502","https://openalex.org/W2997848713","https://openalex.org/W3036167779","https://openalex.org/W3080253043","https://openalex.org/W3103720336","https://openalex.org/W3193281533","https://openalex.org/W3208915345","https://openalex.org/W4221145950","https://openalex.org/W4367301163","https://openalex.org/W6779823529"],"related_works":["https://openalex.org/W2494523064","https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2943623134","https://openalex.org/W2560201613","https://openalex.org/W2588219639","https://openalex.org/W2215759665","https://openalex.org/W2030292806","https://openalex.org/W2171975302","https://openalex.org/W2022352247"],"abstract_inverted_index":{"Accurate":[0],"traffic":[1,31,40,143,152,187],"prediction":[2,144],"generally":[3],"depends":[4],"on":[5,150],"reliable":[6],"and":[7,37,177],"noise-free":[8],"data,":[9],"which":[10],"may":[11],"not":[12],"reflect":[13],"real-world":[14,151],"scenarios.":[15],"Additionally,":[16],"the":[17,25,65,72,77,83,101,104,109,117,123,162,165,171],"high":[18],"sampling":[19],"rate":[20],"poses":[21],"challenges":[22],"in":[23,30,140,186],"capturing":[24],"inherent":[26],"temporal":[27],"periodicity":[28],"present":[29],"data.":[32],"To":[33],"address":[34],"these":[35],"issues":[36],"achieve":[38],"long-term":[39],"prediction,":[41],"this":[42],"paper":[43],"proposes":[44],"a":[45,95,135],"novel":[46],"approach":[47],"called":[48],"as":[49],"Spatio-Temporal":[50],"State":[51],"Space":[52],"Probabilistic":[53],"Diffusion":[54],"(ST-SSPD).":[55],"The":[56,87,168],"proposed":[57,166],"method":[58],"utilizes":[59],"state":[60],"space":[61],"modeling":[62,124],"to":[63,93,160,174,182],"decompose":[64],"historical":[66,132],"signal":[67,89],"of":[68,79,103,112,125,157,164],"an":[69,130],"ego-graph":[70],"into":[71,116],"frequency":[73],"domain,":[74],"thereby":[75],"reducing":[76],"impact":[78],"missing":[80],"data":[81,106,158,175],"during":[82],"subsequent":[84],"reconstruction":[85],"phase.":[86],"reconstructed":[88],"is":[90],"then":[91],"employed":[92],"condition":[94],"probabilistic":[96],"denoising":[97,111],"diffusion":[98],"model,":[99],"enabling":[100],"learning":[102],"underlying":[105],"distribution":[107],"by":[108,128],"gradual":[110],"pure":[113],"Gaussian":[114],"noise":[115],"desired":[118],"prediction.":[119],"This":[120],"technique":[121],"facilitates":[122],"long-range":[126],"dependencies":[127],"representing":[129],"optimal":[131],"approximation":[133],"through":[134],"high-order":[136],"polynomial":[137],"projection,":[138],"resulting":[139],"significantly":[141],"enhanced":[142],"accuracy.":[145],"Extensive":[146],"experiments":[147],"were":[148],"conducted":[149],"datasets":[153],"with":[154],"varying":[155],"levels":[156],"loss":[159,176],"evaluate":[161],"effectiveness":[163],"model.":[167],"results":[169],"demonstrate":[170],"model's":[172],"robustness":[173],"its":[178],"superior":[179],"performance":[180],"compared":[181],"existing":[183],"state-of-the-art":[184],"architectures":[185],"forecasting.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
