{"id":"https://openalex.org/W4285182450","doi":"https://doi.org/10.1109/tits.2022.3148269","title":"Constructing Cooperative Intelligent Transport Systems for Travel Time Prediction With Deep Learning Approaches","display_name":"Constructing Cooperative Intelligent Transport Systems for Travel Time Prediction With Deep Learning Approaches","publication_year":2022,"publication_date":"2022-05-04","ids":{"openalex":"https://openalex.org/W4285182450","doi":"https://doi.org/10.1109/tits.2022.3148269"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3148269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3148269","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/A5038663636","display_name":"Mu\u2010Yen Chen","orcid":"https://orcid.org/0000-0002-3945-4363"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Mu-Yen Chen","raw_affiliation_strings":["Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-3945-4363","affiliations":[{"raw_affiliation_string":"Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000576489","display_name":"Hsiu\u2010Sen Chiang","orcid":"https://orcid.org/0000-0003-0228-6826"},"institutions":[{"id":"https://openalex.org/I131948415","display_name":"National Taichung University of Science and Technology","ror":"https://ror.org/05bgcav40","country_code":"TW","type":"education","lineage":["https://openalex.org/I131948415"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiu-Sen Chiang","raw_affiliation_strings":["Department of Information Management, National Taichung University of Science and Technology, Taichung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-0228-6826","affiliations":[{"raw_affiliation_string":"Department of Information Management, National Taichung University of Science and Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I131948415"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056294699","display_name":"Kai-Jui Yang","orcid":"https://orcid.org/0000-0003-2824-0594"},"institutions":[{"id":"https://openalex.org/I131948415","display_name":"National Taichung University of Science and Technology","ror":"https://ror.org/05bgcav40","country_code":"TW","type":"education","lineage":["https://openalex.org/I131948415"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Jui Yang","raw_affiliation_strings":["Department of Information Management, National Taichung University of Science and Technology, Taichung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-2824-0594","affiliations":[{"raw_affiliation_string":"Department of Information Management, National Taichung University of Science and Technology, Taichung, Taiwan","institution_ids":["https://openalex.org/I131948415"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9502,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.96204533,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"23","issue":"9","first_page":"16590","last_page":"16599"},"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":0.9991999864578247,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.994700014591217,"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/travel-time","display_name":"Travel time","score":0.6991581320762634},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.6837953329086304},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6403431296348572},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"Traffic congestion","score":0.5998578667640686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5627986788749695},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.5164240002632141},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.48461708426475525},{"id":"https://openalex.org/keywords/kilometer","display_name":"Kilometer","score":0.4199030101299286},{"id":"https://openalex.org/keywords/travel-behavior","display_name":"Travel behavior","score":0.41340315341949463},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.40319275856018066},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26975393295288086},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12820082902908325}],"concepts":[{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.6991581320762634},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.6837953329086304},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6403431296348572},{"id":"https://openalex.org/C2779888511","wikidata":"https://www.wikidata.org/wiki/Q244156","display_name":"Traffic congestion","level":2,"score":0.5998578667640686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5627986788749695},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5164240002632141},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.48461708426475525},{"id":"https://openalex.org/C40117522","wikidata":"https://www.wikidata.org/wiki/Q828224","display_name":"Kilometer","level":2,"score":0.4199030101299286},{"id":"https://openalex.org/C144072006","wikidata":"https://www.wikidata.org/wiki/Q4462116","display_name":"Travel behavior","level":2,"score":0.41340315341949463},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.40319275856018066},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26975393295288086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12820082902908325},{"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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3148269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3148269","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G3608751674","display_name":null,"funder_award_id":"MOST110-2511-H-006-013-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G7369166648","display_name":null,"funder_award_id":"MOST109-2410-H-006-116-MY2","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G7823794428","display_name":null,"funder_award_id":"MOST109-2410-H-025- 014-MY2","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1909515509","https://openalex.org/W1970358178","https://openalex.org/W1983074193","https://openalex.org/W1984328578","https://openalex.org/W2056678693","https://openalex.org/W2060900820","https://openalex.org/W2126043710","https://openalex.org/W2171234954","https://openalex.org/W2185710331","https://openalex.org/W2306968429","https://openalex.org/W2443379668","https://openalex.org/W2600139766","https://openalex.org/W2616485150","https://openalex.org/W2622585957","https://openalex.org/W2728478477","https://openalex.org/W2790680701","https://openalex.org/W2885114514","https://openalex.org/W2889230014","https://openalex.org/W2900682747","https://openalex.org/W2904858994","https://openalex.org/W2912424051","https://openalex.org/W2921000573","https://openalex.org/W2939120428","https://openalex.org/W2958449190","https://openalex.org/W2968312863","https://openalex.org/W2982993163","https://openalex.org/W3029517437","https://openalex.org/W3038962633","https://openalex.org/W3123712479","https://openalex.org/W3128586590","https://openalex.org/W3158773522","https://openalex.org/W3159416998","https://openalex.org/W6678557583"],"related_works":["https://openalex.org/W624185289","https://openalex.org/W1520414485","https://openalex.org/W2156514048","https://openalex.org/W2316305435","https://openalex.org/W2380183412","https://openalex.org/W567360884","https://openalex.org/W2327651227","https://openalex.org/W1991947017","https://openalex.org/W2973192971","https://openalex.org/W4390341805"],"abstract_inverted_index":{"Drivers":[0],"and":[1,31,36,39,54,71,92,125,134,161],"traffic":[2,14,143,152,159,170],"system":[3,80],"planners":[4],"require":[5],"accurate":[6,109,130],"forecasting":[7],"of":[8,90,150],"future":[9,93],"travel":[10,41,60,66,162],"times.":[11],"To":[12],"alleviate":[13],"congestion":[15],"on":[16,83],"Taiwan\u2019s":[17],"Provincial":[18],"Highway":[19],"No.":[20],"61,":[21],"this":[22],"study":[23,74],"considers":[24],"temporal":[25],"(weekdays,":[26],"weekends":[27],"or":[28],"continuous":[29,135],"holidays)":[30],"spatial":[32],"characteristics":[33],"(road":[34],"types),":[35],"establishes":[37],"short-term":[38,110],"long-term":[40,122],"time":[42,61,139,163],"prediction":[43,89,114,140,164],"models.":[44],"Data":[45],"pre-processing":[46],"is":[47],"accomplished":[48],"using":[49],"the":[50,88,107,128,147],"Google":[51],"Maps":[52],"API":[53],"floating":[55],"car":[56],"method":[57],"to":[58,166],"verify":[59],"comparisons,":[62],"finding":[63],"that":[64,98],"post-processing":[65],"times":[67],"are":[68],"reliable,":[69],"credible":[70],"reasonable.":[72],"This":[73],"develops":[75],"a":[76],"collaborative":[77],"intelligent":[78],"transportation":[79],"(CITS)":[81],"based":[82],"9":[84],"different":[85],"algorithms":[86],"for":[87,132],"current":[91],"travel-time.":[94],"The":[95],"results":[96,131],"show":[97],"<inline-formula":[99],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[100],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[101],"<tex-math":[102],"notation=\"LaTeX\">$k$":[103],"</tex-math></inline-formula>":[104],"NN-R":[105],"provides":[106,157],"most":[108,129],"predictions,":[111],"with":[112],"average":[113],"error":[115],"within":[116],"20":[117],"seconds":[118],"per":[119],"kilometer.":[120],"For":[121],"forecasting,":[123],"SARIMAX":[124],"fbProphet":[126],"provide":[127],"weekday":[133],"holiday":[136],"modes.":[137],"Travel":[138],"can":[141],"assist":[142],"management":[144,153],"agencies":[145],"in":[146],"timely":[148],"implementation":[149],"appropriate":[151],"measures.":[154],"CITS":[155],"also":[156],"real-time":[158],"query":[160],"functions":[165],"help":[167],"drivers":[168],"avoid":[169],"congestion.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}