{"id":"https://openalex.org/W3129149280","doi":"https://doi.org/10.1155/2021/6621451","title":"An Online Semisupervised Learning Model for Pedestrians\u2019 Crossing Intention Recognition of Connected Autonomous Vehicle Based on Mobile Edge Computing Applications","display_name":"An Online Semisupervised Learning Model for Pedestrians\u2019 Crossing Intention Recognition of Connected Autonomous Vehicle Based on Mobile Edge Computing Applications","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3129149280","doi":"https://doi.org/10.1155/2021/6621451","mag":"3129149280"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6621451","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6621451","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2021/6621451.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/wcmc/2021/6621451.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090357032","display_name":"Shicai Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109718","display_name":"Shandong Transportation Research Institute","ror":"https://ror.org/01wcts620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109718"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shicai Ji","raw_affiliation_strings":["School of Vehicle Engineering, Shandong Transport Vocational College, Weifang, Shandong 261206, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Vehicle Engineering, Shandong Transport Vocational College, Weifang, Shandong 261206, China","institution_ids":["https://openalex.org/I4210109718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025217548","display_name":"Ying Peng","orcid":"https://orcid.org/0000-0003-3937-5080"},"institutions":[{"id":"https://openalex.org/I4210109718","display_name":"Shandong Transportation Research Institute","ror":"https://ror.org/01wcts620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210109718"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Peng","raw_affiliation_strings":["School of Vehicle Engineering, Shandong Transport Vocational College, Weifang, Shandong 261206, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Vehicle Engineering, Shandong Transport Vocational College, Weifang, Shandong 261206, China","institution_ids":["https://openalex.org/I4210109718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016578645","display_name":"Hongjia Zhang","orcid":"https://orcid.org/0000-0002-8186-7647"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongjia Zhang","raw_affiliation_strings":["School of Automobile, Chang'an University, Xi'an, Shaanxi 710064, China"],"raw_orcid":"https://orcid.org/0000-0002-8186-7647","affiliations":[{"raw_affiliation_string":"School of Automobile, Chang'an University, Xi'an, Shaanxi 710064, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069173546","display_name":"Shengbo Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengbo Wu","raw_affiliation_strings":["School of Automobile, Chang'an University, Xi'an, Shaanxi 710064, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automobile, Chang'an University, Xi'an, Shaanxi 710064, China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016578645"],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.7767,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78026168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9829000234603882,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9829000234603882,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9810000061988831,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9740999937057495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8881542682647705},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5786848664283752},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.46666353940963745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4533686637878418},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4380195140838623},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3726242780685425},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.09901764988899231}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8881542682647705},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5786848664283752},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.46666353940963745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4533686637878418},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4380195140838623},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3726242780685425},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.09901764988899231},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/6621451","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6621451","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2021/6621451.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:20f0edad1c644e2992c1d46def1b4d15","is_oa":false,"landing_page_url":"https://doaj.org/article/20f0edad1c644e2992c1d46def1b4d15","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wireless Communications and Mobile Computing, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/6621451","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6621451","pdf_url":"https://downloads.hindawi.com/journals/wcmc/2021/6621451.pdf","source":{"id":"https://openalex.org/S235346","display_name":"Wireless Communications and Mobile Computing","issn_l":"1530-8669","issn":["1530-8669","1530-8677"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wireless Communications and Mobile Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G6400874437","display_name":null,"funder_award_id":"CHD 300102220220","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3129149280.pdf","grobid_xml":"https://content.openalex.org/works/W3129149280.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W92894758","https://openalex.org/W1603138887","https://openalex.org/W1936415111","https://openalex.org/W2033421762","https://openalex.org/W2047776971","https://openalex.org/W2074586650","https://openalex.org/W2129018774","https://openalex.org/W2136504847","https://openalex.org/W2221460520","https://openalex.org/W2291379690","https://openalex.org/W2342619534","https://openalex.org/W2440905357","https://openalex.org/W2561603333","https://openalex.org/W2565986202","https://openalex.org/W2745090846","https://openalex.org/W2758850938","https://openalex.org/W2766530738","https://openalex.org/W2793807616","https://openalex.org/W2795388214","https://openalex.org/W2795879180","https://openalex.org/W2807456624","https://openalex.org/W2896127393","https://openalex.org/W2900597592","https://openalex.org/W2946027615","https://openalex.org/W2946306611","https://openalex.org/W2956760941","https://openalex.org/W2958528182","https://openalex.org/W2963697717","https://openalex.org/W2973440297","https://openalex.org/W3012699789","https://openalex.org/W3016481179","https://openalex.org/W3083649670","https://openalex.org/W3086544482","https://openalex.org/W3091369929","https://openalex.org/W4210997624","https://openalex.org/W4241174167","https://openalex.org/W4292022450"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"One":[0],"of":[1,33,94,98,140,149,167,182,185,234],"the":[2,26,30,49,60,65,67,77,92,96,102,111,124,138,141,163,168,196,212,220,225,232,239,243],"major":[3],"challenges":[4],"that":[5,195],"connected":[6],"autonomous":[7,37],"vehicles":[8],"(CAVs)":[9],"are":[10],"facing":[11],"today":[12],"is":[13,40,51,62],"driving":[14],"in":[15,87],"urban":[16],"environments.":[17],"To":[18],"achieve":[19],"this":[20,114,143],"goal,":[21],"CAVs":[22],"need":[23],"to":[24,28,43,58,91,136,206],"have":[25],"ability":[27,205],"understand":[29,44],"crossing":[31,46,80,119,151,209],"intention":[32,57,81,120],"pedestrians.":[34],"However,":[35],"for":[36,237],"vehicles,":[38],"it":[39],"quite":[41],"challenging":[42],"pedestrians\u2019":[45],"intentions.":[47],"Because":[48],"pedestrian":[50,118,150,208],"a":[52,117,146,203],"very":[53],"complex":[54],"individual,":[55],"their":[56],"cross":[59],"street":[61,79],"affected":[63],"by":[64],"weather,":[66],"surrounding":[68],"traffic":[69],"environment,":[70],"and":[71,101,153,161,174,190,214,219,241],"even":[72],"his":[73],"own":[74],"emotions.":[75],"If":[76],"established":[78,116],"recognition":[82,183,244],"model":[83,121,169,201,229],"cannot":[84],"be":[85,106],"updated":[86],"real":[88],"time":[89],"according":[90],"diversity":[93],"samples,":[95],"efficiency":[97],"human\u2010machine":[99],"interaction":[100,103],"safety":[104],"will":[105],"greatly":[107],"affected.":[108],"Based":[109],"on":[110,123,158],"above":[112],"problems,":[113],"paper":[115,144],"based":[122,157],"online":[125],"semisupervised":[126],"support":[127],"vector":[128],"machine":[129],"algorithm":[130],"(OS":[131],"3":[132,188,192,199,216,227],"VM).":[133],"In":[134],"order":[135],"verify":[137],"effectiveness":[139],"model,":[142],"collects":[145],"large":[147],"amount":[148],"data":[152,156],"vehicle":[154],"movement":[155],"laser":[159],"scanner,":[160],"determines":[162],"main":[164],"feature":[165,172],"components":[166],"input":[170],"through":[171],"extraction":[173],"principal":[175],"component":[176],"analysis":[177],"(PCA).":[178],"The":[179],"comparison":[180],"results":[181],"accuracy":[184,221],"SVM,":[186],"S":[187,215],"VM,":[189],"OS":[191,198,226],"VM":[193,200,217,228],"indicate":[194],"proposed":[197],"exhibits":[202],"better":[204],"recognize":[207],"intentions":[210],"than":[211],"SVM":[213],"models,":[218],"achieves":[222],"94.83%.":[223],"Therefore,":[224],"can":[230],"reduce":[231],"number":[233],"labeled":[235],"samples":[236],"training":[238],"classifier":[240],"improve":[242],"accuracy.":[245]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}