{"id":"https://openalex.org/W4413266815","doi":"https://doi.org/10.1061/jccee5.cpeng-6429","title":"Spatiotemporal Parallel Convolutional Network Considering Multidimensional Factors for Short-Term Traffic Flow Prediction","display_name":"Spatiotemporal Parallel Convolutional Network Considering Multidimensional Factors for Short-Term Traffic Flow Prediction","publication_year":2025,"publication_date":"2025-08-07","ids":{"openalex":"https://openalex.org/W4413266815","doi":"https://doi.org/10.1061/jccee5.cpeng-6429"},"language":"en","primary_location":{"id":"doi:10.1061/jccee5.cpeng-6429","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-6429","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","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/A5018430641","display_name":"Zhibin Tao","orcid":"https://orcid.org/0000-0002-3821-1554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Tao","raw_affiliation_strings":["Beijing Jiaotong Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong Univ","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100638117","display_name":"Xuesong Feng","orcid":"https://orcid.org/0000-0002-5992-8650"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Feng","raw_affiliation_strings":["Beijing Jiaotong Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong Univ","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19800614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"39","issue":"6","first_page":null,"last_page":null},"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":0.9948999881744385,"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":0.9944999814033508,"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/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.677383542060852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6143872141838074},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5525413751602173},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.5194368362426758},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43219423294067383},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4261319935321808},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2109144926071167},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.15324434638023376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14554500579833984}],"concepts":[{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.677383542060852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6143872141838074},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5525413751602173},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.5194368362426758},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43219423294067383},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4261319935321808},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2109144926071167},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.15324434638023376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14554500579833984},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/jccee5.cpeng-6429","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-6429","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1905882502","https://openalex.org/W1969601155","https://openalex.org/W1970460434","https://openalex.org/W1973943669","https://openalex.org/W1983025701","https://openalex.org/W1991410369","https://openalex.org/W1994978245","https://openalex.org/W2032186998","https://openalex.org/W2049952439","https://openalex.org/W2059128538","https://openalex.org/W2077537883","https://openalex.org/W2097117768","https://openalex.org/W2103026193","https://openalex.org/W2119460626","https://openalex.org/W2125387529","https://openalex.org/W2139606794","https://openalex.org/W2143915663","https://openalex.org/W2160507653","https://openalex.org/W2165991108","https://openalex.org/W2277710627","https://openalex.org/W2326633833","https://openalex.org/W2593182953","https://openalex.org/W2892302657","https://openalex.org/W2939251941","https://openalex.org/W2945010612","https://openalex.org/W3031632615","https://openalex.org/W3034263303","https://openalex.org/W3035174769","https://openalex.org/W3038719270","https://openalex.org/W3107462623","https://openalex.org/W3123419131","https://openalex.org/W3168797207","https://openalex.org/W3171254206","https://openalex.org/W3185889262","https://openalex.org/W3197779704","https://openalex.org/W3201302957","https://openalex.org/W3204365986","https://openalex.org/W4281566989","https://openalex.org/W4291109995"],"related_works":["https://openalex.org/W2980611886","https://openalex.org/W4311255633","https://openalex.org/W2180469977","https://openalex.org/W2001284284","https://openalex.org/W2368007657","https://openalex.org/W2068289888","https://openalex.org/W4250257362","https://openalex.org/W2352790364","https://openalex.org/W2391191500","https://openalex.org/W2365398175"],"abstract_inverted_index":{"This":[0,97],"research":[1],"proposes":[2],"a":[3,57],"spatiotemporal":[4],"parallel":[5,58],"convolutional":[6,59,64],"network":[7],"(SPCN)":[8],"model":[9,71,88],"that":[10,85,99],"accounts":[11],"for":[12],"both":[13,101],"the":[14,19,41,44,49,76,86],"interactions":[15,103],"between":[16],"lanes":[17],"and":[18,35,51,104,111],"impact":[20],"of":[21,54,94],"weather":[22,36,105],"conditions":[23],"in":[24,92],"predicting":[25],"short-term":[26],"traffic":[27,33,80,113],"volume.":[28],"Initially,":[29],"multidimensional":[30],"features,":[31,56],"including":[32],"volume":[34,114],"data,":[37],"are":[38],"used":[39],"as":[40],"inputs":[42],"to":[43,78,108],"SPCN":[45,70,87],"model.":[46],"To":[47],"capture":[48],"temporal":[50],"spatial":[52],"characteristics":[53],"these":[55],"block":[60],"(PCB)":[61],"based":[62],"on":[63],"neural":[65],"networks":[66],"is":[67,72],"designed.":[68],"The":[69],"then":[73],"built":[74],"upon":[75],"PCB":[77],"predict":[79],"volumes.":[81],"Experimental":[82],"results":[83],"demonstrate":[84],"outperforms":[89],"other":[90],"models":[91],"terms":[93],"prediction":[95],"accuracy.":[96],"confirms":[98],"considering":[100],"lane":[102],"influences":[106],"leads":[107],"more":[109],"accurate":[110],"effective":[112],"predictions.":[115]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
