{"id":"https://openalex.org/W4414165714","doi":"https://doi.org/10.1109/tits.2025.3605129","title":"CTSG-Net: A Fine-Grained Intersection Queue Length Prediction Model at a Network Scale","display_name":"CTSG-Net: A Fine-Grained Intersection Queue Length Prediction Model at a Network Scale","publication_year":2025,"publication_date":"2025-09-09","ids":{"openalex":"https://openalex.org/W4414165714","doi":"https://doi.org/10.1109/tits.2025.3605129"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3605129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3605129","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5111494521","display_name":"X. \u2013. H. He","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingyi He","raw_affiliation_strings":["Weiyang College, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-0938-6152","affiliations":[{"raw_affiliation_string":"Weiyang College, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058085298","display_name":"Qingquan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingquan Liu","raw_affiliation_strings":["Department of Civil Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7407-6257","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058375369","display_name":"Ke Zhang","orcid":"https://orcid.org/0000-0001-7397-5560"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Zhang","raw_affiliation_strings":["Department of Civil Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065363983","display_name":"Junqi Shao","orcid":"https://orcid.org/0009-0001-7200-134X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junqi Shao","raw_affiliation_strings":["Department of Civil Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-7200-134X","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100457416","display_name":"Meng Li","orcid":"https://orcid.org/0000-0001-9494-4552"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Li","raw_affiliation_strings":["Department of Civil Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9494-4552","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111494521"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39062946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":"10","first_page":"15758","last_page":"15771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.7860999703407288,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.7860999703407288,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.7509999871253967,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.7109000086784363,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.7013999819755554},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4875999987125397},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4487999975681305},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4212999939918518},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.3452000021934509},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.31279999017715454},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3050000071525574},{"id":"https://openalex.org/keywords/traffic-intensity","display_name":"Traffic intensity","score":0.2985999882221222}],"concepts":[{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.7013999819755554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6299999952316284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.492900013923645},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4875999987125397},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4487999975681305},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4212999939918518},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.392300009727478},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.3452000021934509},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C167272206","wikidata":"https://www.wikidata.org/wiki/Q1421101","display_name":"Traffic intensity","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C87950461","wikidata":"https://www.wikidata.org/wiki/Q4996486","display_name":"Bulk queue","level":3,"score":0.26980000734329224},{"id":"https://openalex.org/C128220111","wikidata":"https://www.wikidata.org/wiki/Q4531011","display_name":"Queue management system","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C21353171","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Length measurement","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C2776003309","wikidata":"https://www.wikidata.org/wiki/Q1988072","display_name":"Adaptive algorithm","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.26010000705718994},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2565999925136566}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3605129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3605129","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G928398517","display_name":null,"funder_award_id":"52325209","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1983095804","https://openalex.org/W1997601075","https://openalex.org/W2048805856","https://openalex.org/W2098567572","https://openalex.org/W2142382652","https://openalex.org/W2295598076","https://openalex.org/W2556405044","https://openalex.org/W2605179704","https://openalex.org/W2792712435","https://openalex.org/W2901026352","https://openalex.org/W2903468376","https://openalex.org/W2960749694","https://openalex.org/W2965341826","https://openalex.org/W2996451395","https://openalex.org/W2997643818","https://openalex.org/W2998436408","https://openalex.org/W3010118086","https://openalex.org/W3012562343","https://openalex.org/W3045104252","https://openalex.org/W3080253043","https://openalex.org/W3092592791","https://openalex.org/W3118497696","https://openalex.org/W3120190876","https://openalex.org/W3123191313","https://openalex.org/W3125445645","https://openalex.org/W3161477348","https://openalex.org/W3169292842","https://openalex.org/W3184493524","https://openalex.org/W3200553661","https://openalex.org/W3201302957","https://openalex.org/W3215209860","https://openalex.org/W4285384560","https://openalex.org/W4312437647","https://openalex.org/W4313318672","https://openalex.org/W4375947964","https://openalex.org/W4385568207","https://openalex.org/W4387457536","https://openalex.org/W4390905463","https://openalex.org/W4391480512","https://openalex.org/W4391960377","https://openalex.org/W4392637791","https://openalex.org/W4393044844","https://openalex.org/W4395689710","https://openalex.org/W4400648387","https://openalex.org/W4400909501","https://openalex.org/W4408979026"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"and":[1,32,46,66,115,124,164,182,200,215],"robust":[2],"short-term":[3],"traffic":[4,22,48,113,156],"prediction":[5,27],"is":[6,59,231],"critical":[7],"for":[8,41,180],"the":[9,17,67,72,143,172,186],"advancement":[10],"of":[11,19,71,88,146,192,208],"Intelligent":[12],"Transportation":[13],"Systems":[14],"(ITS).":[15],"With":[16],"accessibility":[18],"more":[20],"fine-grained":[21,56],"data,":[23],"intersection":[24],"queue":[25,57,92,147,210,213,217],"lengths":[26,58,93,218],"with":[28],"both":[29,162],"high":[30],"spatial":[31,131],"temporal":[33],"resolution":[34],"have":[35,151],"become":[36],"feasible,":[37],"offering":[38],"significant":[39],"potential":[40],"applications":[42],"such":[43],"as":[44],"dynamic":[45,125],"adaptive":[47],"management":[49],"in":[50,198,204],"real-time":[51],"systems.":[52],"However,":[53],"predicting":[54,89],"these":[55,76],"challenging":[60],"due":[61],"to":[62,110,128,140,194],"their":[63],"rapid":[64],"fluctuations":[65],"zero-inflated,":[68],"long-tailed":[69],"nature":[70,145],"data.":[73,149],"To":[74],"address":[75,142],"challenges,":[77],"this":[78],"paper":[79],"proposes":[80],"CTSG-Net":[81,98,134,174,188],"(Cyclic":[82],"Temporal-Spatial":[83],"Graph":[84],"Convolution":[85],"Network),":[86],"capable":[87],"lane-level,":[90],"seconds-by-seconds":[91],"at":[94],"a":[95,100,116,136],"network":[96],"scale.":[97],"incorporates":[99],"cyclic":[101],"feature":[102],"extraction":[103],"module":[104,120],"that":[105,121,171],"utilizes":[106],"signal":[107],"cycle":[108],"information":[109],"capture":[111],"periodic":[112],"patterns,":[114],"graph":[117,126],"topology":[118],"learning":[119],"combines":[122],"static":[123],"layers":[127],"model":[129],"lane-specific":[130],"dependencies.":[132],"Additionally,":[133],"employs":[135],"weighted":[137],"loss":[138],"function":[139],"further":[141],"zero-inflated":[144],"length":[148],"Experiments":[150],"been":[152],"conducted":[153],"on":[154],"real-world":[155],"data":[157],"from":[158],"Yizhuang,":[159],"Beijing,":[160],"during":[161],"off-peak":[163,181],"evening":[165,183],"peak":[166,184],"periods.":[167],"The":[168,228],"results":[169],"demonstrate":[170],"proposed":[173,187],"consistently":[175],"achieves":[176],"state-of-the-art":[177],"performance.":[178],"Specifically,":[179],"scenarios,":[185],"demonstrates":[189],"substantial":[190],"improvements":[191],"up":[193],"8.04%,":[195],"28.23%,":[196],"24.68%":[197],"MAE":[199],"6.54%,":[201],"27.75%,":[202],"22.12%":[203],"RMSE":[205],"across":[206],"dataset":[207],"all":[209],"lengths,":[211,214],"non-zero":[212],"large":[216],"(<inline-formula":[219],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[220,235],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[221],"<tex-math":[222],"notation=\"LaTeX\">$\\ge":[223],"100$":[224],"</tex-math></inline-formula>":[225],"m),":[226],"respectively.":[227],"source":[229],"code":[230],"available":[232],"at:":[233],"<uri":[234],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/cherryh2021/CTSG-Net.git</uri>":[236]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}