{"id":"https://openalex.org/W4406321335","doi":"https://doi.org/10.1109/access.2025.3528460","title":"Optimization of Truck Platoon Size in Freeway Diverging Areas Based on Comprehensive Performance Evaluation","display_name":"Optimization of Truck Platoon Size in Freeway Diverging Areas Based on Comprehensive Performance Evaluation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406321335","doi":"https://doi.org/10.1109/access.2025.3528460"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3528460","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3528460","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3528460","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037054986","display_name":"Zhifa Yang","orcid":"https://orcid.org/0000-0001-5597-7570"},"institutions":[{"id":"https://openalex.org/I4210129938","display_name":"Guangzhou Maritime College","ror":"https://ror.org/03kzcrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210129938"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhifa Yang","raw_affiliation_strings":["Scientific Research Department, Guangzhou Maritime University, Guangzhou, Guangdong, China","Guangzhou Maritime University, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-5597-7570","affiliations":[{"raw_affiliation_string":"Scientific Research Department, Guangzhou Maritime University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I4210129938"]},{"raw_affiliation_string":"Guangzhou Maritime University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I4210129938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113262686","display_name":"Z. Y. Li","orcid":"https://orcid.org/0009-0005-7746-3614"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongyao Li","raw_affiliation_strings":["Transportation College, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0005-7746-3614","affiliations":[{"raw_affiliation_string":"Transportation College, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhuo Yu","orcid":"https://orcid.org/0009-0005-4606-8427"},"institutions":[{"id":"https://openalex.org/I4210129938","display_name":"Guangzhou Maritime College","ror":"https://ror.org/03kzcrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210129938"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Yu","raw_affiliation_strings":["School of Arts and Sciences, Guangzhou Maritime University, Guangzhou, Guangdong, China","Guangzhou Maritime University, Guangzhou, Guangdong, China"],"raw_orcid":"https://orcid.org/0009-0005-4606-8427","affiliations":[{"raw_affiliation_string":"School of Arts and Sciences, Guangzhou Maritime University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I4210129938"]},{"raw_affiliation_string":"Guangzhou Maritime University, Guangzhou, Guangdong, China","institution_ids":["https://openalex.org/I4210129938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068862010","display_name":"Wencai Sun","orcid":"https://orcid.org/0000-0003-2431-7777"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wencai Sun","raw_affiliation_strings":["Transportation College, Jilin University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0003-2431-7777","affiliations":[{"raw_affiliation_string":"Transportation College, Jilin University, Changchun, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101931523","display_name":"Jingjing Tian","orcid":"https://orcid.org/0000-0003-1753-8221"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingjing Tian","raw_affiliation_strings":["State Administration for Market Regulation Defective Product Recall Technology Center, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Administration for Market Regulation Defective Product Recall Technology Center, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5037054986"],"corresponding_institution_ids":["https://openalex.org/I4210129938"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.1091,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84406976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"13","issue":null,"first_page":"10299","last_page":"10310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9789999723434448,"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"}},"topics":[{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9789999723434448,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9739000201225281,"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/T13527","display_name":"Transportation Systems and Logistics","score":0.9251999855041504,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/platoon","display_name":"Platoon","score":0.9554543495178223},{"id":"https://openalex.org/keywords/truck","display_name":"Truck","score":0.8509421348571777},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4756300747394562},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.4344111680984497},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.34718796610832214},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3384641706943512},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20257887244224548},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.09366238117218018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07316869497299194}],"concepts":[{"id":"https://openalex.org/C2777735972","wikidata":"https://www.wikidata.org/wiki/Q1061967","display_name":"Platoon","level":3,"score":0.9554543495178223},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.8509421348571777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4756300747394562},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.4344111680984497},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.34718796610832214},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3384641706943512},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20257887244224548},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.09366238117218018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07316869497299194}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3528460","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3528460","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ea6d73a0ed7d4a2cac2a4e6944da04f7","is_oa":true,"landing_page_url":"https://doaj.org/article/ea6d73a0ed7d4a2cac2a4e6944da04f7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 10299-10310 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3528460","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3528460","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2213844420","display_name":null,"funder_award_id":"282023Y-10409","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3398424286","display_name":null,"funder_award_id":"51978310","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":33,"referenced_works":["https://openalex.org/W341403209","https://openalex.org/W1965455100","https://openalex.org/W2084952317","https://openalex.org/W2126403470","https://openalex.org/W2130906232","https://openalex.org/W2339910474","https://openalex.org/W2768952159","https://openalex.org/W2792919579","https://openalex.org/W2797806626","https://openalex.org/W2889035418","https://openalex.org/W2913388462","https://openalex.org/W2921438661","https://openalex.org/W2943048036","https://openalex.org/W2947183306","https://openalex.org/W3044336435","https://openalex.org/W3097059148","https://openalex.org/W3101337057","https://openalex.org/W3112606159","https://openalex.org/W3117988179","https://openalex.org/W3122022857","https://openalex.org/W3155100990","https://openalex.org/W4223955150","https://openalex.org/W4302071225","https://openalex.org/W4304184368","https://openalex.org/W4308357904","https://openalex.org/W4366310290","https://openalex.org/W4386348849","https://openalex.org/W4390826471","https://openalex.org/W4400038908","https://openalex.org/W4400792294","https://openalex.org/W6614578453","https://openalex.org/W6683530880","https://openalex.org/W6761650330"],"related_works":["https://openalex.org/W575001261","https://openalex.org/W4245592507","https://openalex.org/W2151768624","https://openalex.org/W2214078930","https://openalex.org/W2558800934","https://openalex.org/W3122052772","https://openalex.org/W561646759","https://openalex.org/W1983537108","https://openalex.org/W1974098980","https://openalex.org/W630632068"],"abstract_inverted_index":{"Truck":[0],"platoons":[1,22,52],"can":[2,23,206,262],"enhance":[3],"traffic":[4,40,63,113,131,157,256],"throughput,":[5],"achieve":[6,207],"better":[7],"fuel":[8,67,117,209],"economy,":[9],"and":[10,37,53,66,116,127,136,151,161,190,246],"yield":[11],"environmental":[12],"benefits.":[13],"However,":[14],"in":[15,42,85,172,183,258],"freeway":[16,259],"diverging":[17,260],"areas,":[18],"excessively":[19],"long":[20],"truck":[21,51,103,166,176,198,225],"cause":[24],"a":[25,56,86,181],"blocking":[26],"effect":[27],"on":[28,112],"small":[29,54,129,145,218],"vehicles":[30,146,219,233,241,250],"exiting":[31],"the":[32,39,43,48,79,90,100,165,173,223,264],"freeway,":[33],"thereby":[34],"causing":[35],"congestion":[36],"impacting":[38],"flow":[41,192,196,236,244,253],"section.":[44],"Therefore,":[45],"to":[46,77,109,180,231,239,248,269,276],"balance":[47],"benefits":[49],"between":[50],"vehicles,":[55],"comprehensive":[57,284],"evaluation":[58],"model":[59],"was":[60,75],"established,":[61],"considering":[62],"efficiency,":[64,114],"safety,":[65,115,185],"economy.":[68,210],"The":[69,122],"analytic":[70],"hierarchy":[71],"process":[72],"(AHP)":[73],"method":[74],"employed":[76],"determine":[78],"importance":[80],"of":[81,92,102,133,147,175,201,215,266],"each":[82],"indicator,":[83],"resulting":[84],"composite":[87],"score.":[88],"Using":[89],"Simulation":[91,153],"Urban":[93],"Mobility":[94],"(SUMO)":[95],"platform,":[96],"this":[97,267],"paper":[98],"examines":[99],"effects":[101],"platoon":[104,167,177,199,226],"size":[105,168,200,227],"(ranging":[106],"from":[107,229],"2":[108,238,247],"15":[110],"trucks)":[111],"consumption":[118],"under":[119,188,234,242,251],"varying":[120],"conditions.":[121,193,254],"analysis":[123],"considers":[124],"low,":[125],"medium,":[126],"high":[128,191,252],"vehicle":[130],"volumes":[132],"750,":[134],"1200,":[135],"1650":[137],"pcu/h/lane,":[138],"as":[139,141,164,220],"well":[140],"off-ramp":[142,213],"probabilities":[143],"for":[144,217,281],"10%,":[148],"20%,":[149],"30%,":[150],"40%.":[152],"results":[154],"indicate":[155],"that":[156],"efficiency":[158],"initially":[159],"increases":[160],"then":[162],"decreases":[163],"increases.":[169],"An":[170],"increase":[171],"number":[174],"members":[178],"leads":[179],"decrease":[182],"section":[184],"particularly":[186],"noticeable":[187],"medium":[189,243],"In":[194],"three":[195],"scenarios,":[197],"more":[202],"than":[203],"5":[204],"trucks":[205],"higher":[208],"Taking":[211],"an":[212,221],"probability":[214],"10%":[216],"example,":[222],"optimal":[224,283],"ranges":[228],"3":[230],"8":[232],"low":[235],"conditions,":[237,245],"7":[240],"6":[249],"Hence,":[255],"managers":[257],"areas":[261],"utilize":[263],"findings":[265],"study":[268],"select":[270],"suitable":[271],"truck-platoon":[272],"size,":[273],"enabling":[274],"them":[275],"implement":[277],"preemptive":[278],"adjustment":[279],"strategies":[280],"achieving":[282],"performance.":[285]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}