{"id":"https://openalex.org/W4408696480","doi":"https://doi.org/10.1109/itsc58415.2024.10919660","title":"Urban Arterial Route Travel Time Prediction Using Connected Vehicle Trajectories by Integrating Cloud and Edge Resources","display_name":"Urban Arterial Route Travel Time Prediction Using Connected Vehicle Trajectories by Integrating Cloud and Edge Resources","publication_year":2024,"publication_date":"2024-09-24","ids":{"openalex":"https://openalex.org/W4408696480","doi":"https://doi.org/10.1109/itsc58415.2024.10919660"},"language":"en","primary_location":{"id":"doi:10.1109/itsc58415.2024.10919660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","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/A5062675824","display_name":"Huiyu Chen","orcid":"https://orcid.org/0000-0001-6346-3158"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Huiyu Chen","raw_affiliation_strings":["University of Alberta,Department of Civil and Environmental Engineering,Edmonton,Alberta,Canada,T6G 1H9"],"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Civil and Environmental Engineering,Edmonton,Alberta,Canada,T6G 1H9","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033229417","display_name":"Fan Wu","orcid":"https://orcid.org/0000-0001-6220-8323"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fan Wu","raw_affiliation_strings":["University of Alberta,Department of Civil and Environmental Engineering,Edmonton,Alberta,Canada,T6G 1H9"],"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Civil and Environmental Engineering,Edmonton,Alberta,Canada,T6G 1H9","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103054505","display_name":"Tony Z. Qiu","orcid":"https://orcid.org/0000-0001-9310-7445"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tony Z. Qiu","raw_affiliation_strings":["University of Alberta,Department of Civil and Environmental Engineering,Edmonton,Alberta,Canada,T6G 1H9"],"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Civil and Environmental Engineering,Edmonton,Alberta,Canada,T6G 1H9","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062675824"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.2782,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60994501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1986","last_page":"1991"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cloud-computing","display_name":"Cloud computing","score":0.8642882108688354},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6548235416412354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.611615777015686},{"id":"https://openalex.org/keywords/travel-time","display_name":"Travel time","score":0.54183030128479},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.38734787702560425},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2446337640285492},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22054630517959595},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12048289179801941},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09911113977432251}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8642882108688354},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6548235416412354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.611615777015686},{"id":"https://openalex.org/C2985733770","wikidata":"https://www.wikidata.org/wiki/Q1233007","display_name":"Travel time","level":2,"score":0.54183030128479},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.38734787702560425},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2446337640285492},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22054630517959595},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12048289179801941},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09911113977432251}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc58415.2024.10919660","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc58415.2024.10919660","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W343162142","https://openalex.org/W1984969638","https://openalex.org/W1988489815","https://openalex.org/W1989491491","https://openalex.org/W2036785686","https://openalex.org/W2038622450","https://openalex.org/W2051503055","https://openalex.org/W2054087864","https://openalex.org/W2132711183","https://openalex.org/W2142382652","https://openalex.org/W2150152686","https://openalex.org/W2564701384","https://openalex.org/W2607080081","https://openalex.org/W2787889095","https://openalex.org/W3091735196"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919"],"abstract_inverted_index":{"In":[0,29],"recent":[1],"years,":[2],"vehicle":[3],"trajectory":[4],"data":[5],"has":[6],"become":[7],"increasingly":[8],"available":[9],"from":[10,167],"connected":[11],"vehicles":[12],"(CVs).":[13],"CVs,":[14],"acting":[15],"as":[16],"mobile":[17],"sensors,":[18],"can":[19],"cover":[20],"almost":[21],"every":[22],"intersection":[23,158],"and":[24,62,85,101,145],"provide":[25],"enriched":[26],"traffic":[27],"information.":[28],"this":[30,32],"context,":[31],"study":[33],"proposed":[34,133],"a":[35,59,63,173,192],"novel":[36],"statistical":[37],"model-based":[38],"method":[39],"to":[40,57,70,80,130,141],"predict":[41],"arterial":[42],"travel":[43,160,181],"time":[44,51,54,161,182,190],"using":[45],"CV":[46,97],"trajectories.":[47],"The":[48,135,170],"queue":[49,148],"clearing":[50],"during":[52],"green":[53],"is":[55,68,77,128],"assumed":[56],"follow":[58],"Gamma":[60],"distribution,":[61],"maximized":[64],"log-likelihood":[65],"estimation":[66],"(MLLE)":[67],"utilized":[69],"calculate":[71],"related":[72],"parameters.":[73],"A":[74,120],"hierarchical":[75],"framework":[76],"further":[78],"developed":[79],"improve":[81],"both":[82],"prediction":[83,118,162,195],"accuracy":[84],"efficiency.":[86],"First,":[87],"the":[88,96,108,117,123,132,143,146,154,164,168,188],"cloud":[89],"(i.e.,":[90,111],"Traffic":[91],"Management":[92],"Center":[93],"[TMC])":[94],"estimates":[95],"penetration":[98],"rate":[99],"(PR)":[100],"calibrates":[102],"necessary":[103],"model":[104],"parameters":[105,165],"offline.":[106],"Then,":[107],"network":[109],"edge":[110],"Mobile":[112],"Edge":[113],"Computing":[114],"[MEC]),":[115],"conducts":[116,159],"online.":[119],"route":[121],"in":[122],"City":[124],"of":[125,180],"Edmonton,":[126],"Canada,":[127],"simulated":[129,136],"test":[131],"method.":[134],"CVs'":[137],"trajectories":[138],"are":[139],"collected":[140],"estimate":[142],"PR":[144],"cycle-by-cycle":[147],"length":[149],"at":[150,156],"intersections.":[151],"After":[152],"that,":[153],"MEC":[155],"each":[157],"with":[163],"obtained":[166],"TMC.":[169],"results":[171],"achieved":[172],"low":[174],"Root":[175],"Mean":[176],"Square":[177],"Error":[178],"(RMSE)":[179],"prediction,":[183],"averaging":[184],"0.9":[185],"minutes.":[186],"Besides,":[187],"running":[189],"for":[191],"one-hour":[193],"online":[194],"only":[196],"costs":[197],"2.3":[198],"seconds.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}