{"id":"https://openalex.org/W2991372296","doi":"https://doi.org/10.1177/1550147719891319","title":"Enabling real-time road anomaly detection via mobile edge computing","display_name":"Enabling real-time road anomaly detection via mobile edge computing","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2991372296","doi":"https://doi.org/10.1177/1550147719891319","mag":"2991372296"},"language":"en","primary_location":{"id":"doi:10.1177/1550147719891319","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147719891319","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147719891319","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147719891319","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040337525","display_name":"Zengwei Zheng","orcid":"https://orcid.org/0000-0003-0386-6080"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zengwei Zheng","raw_affiliation_strings":["Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060472832","display_name":"Mingxuan Zhou","orcid":"https://orcid.org/0000-0002-0806-3669"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxuan Zhou","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0806-3669","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746030","display_name":"Yuanyi Chen","orcid":"https://orcid.org/0000-0003-4038-6983"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yuanyi Chen","raw_affiliation_strings":["Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019309926","display_name":"Meimei Huo","orcid":"https://orcid.org/0000-0001-7493-340X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meimei Huo","raw_affiliation_strings":["Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101564451","display_name":"Dan Chen","orcid":"https://orcid.org/0000-0003-4158-5239"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Chen","raw_affiliation_strings":["Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100746030"],"corresponding_institution_ids":[],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":1.6943,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88567233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":"11","first_page":"155014771989131","last_page":"155014771989131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8646621704101562},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7337448000907898},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6375032067298889},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6069064736366272},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5828794836997986},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5620938539505005},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5490879416465759},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5368533730506897},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.517437756061554},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.48116979002952576},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47838106751441956},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4485461115837097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3353302478790283},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.21257951855659485}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8646621704101562},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7337448000907898},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6375032067298889},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6069064736366272},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5828794836997986},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5620938539505005},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5490879416465759},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5368533730506897},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.517437756061554},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.48116979002952576},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47838106751441956},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4485461115837097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3353302478790283},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.21257951855659485},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1177/1550147719891319","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147719891319","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147719891319","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:sae:intdis:v:15:y:2019:i:11:p:1550147719891319","is_oa":false,"landing_page_url":"https://journals.sagepub.com/doi/10.1177/1550147719891319","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:53877ae3e8c546bb84ccc6211fe2ee8a","is_oa":true,"landing_page_url":"https://doaj.org/article/53877ae3e8c546bb84ccc6211fe2ee8a","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":"International Journal of Distributed Sensor Networks, Vol 15 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1177/1550147719891319","is_oa":true,"landing_page_url":"https://doi.org/10.1177/1550147719891319","pdf_url":"https://journals.sagepub.com/doi/pdf/10.1177/1550147719891319","source":{"id":"https://openalex.org/S64417657","display_name":"International Journal of Distributed Sensor Networks","issn_l":"1550-1329","issn":["1550-1329","1550-1477"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Distributed Sensor Networks","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G5074634789","display_name":null,"funder_award_id":"61802343","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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2991372296.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W21625728","https://openalex.org/W173492641","https://openalex.org/W1982679659","https://openalex.org/W1993711668","https://openalex.org/W2035104901","https://openalex.org/W2073061255","https://openalex.org/W2331994864","https://openalex.org/W2414114959","https://openalex.org/W2501239309","https://openalex.org/W2548212388","https://openalex.org/W2577692329","https://openalex.org/W2587762351","https://openalex.org/W2591480565","https://openalex.org/W2604155477","https://openalex.org/W2614267756","https://openalex.org/W2712769911","https://openalex.org/W2790484447","https://openalex.org/W2791787077","https://openalex.org/W4232135423","https://openalex.org/W4233954915","https://openalex.org/W4236210098","https://openalex.org/W4242515098","https://openalex.org/W4248836444","https://openalex.org/W4300193260","https://openalex.org/W4320151928","https://openalex.org/W4366310819"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"To":[0,153],"discover":[1],"road":[2,60,70,94,125,202],"anomalies,":[3],"a":[4,68],"large":[5],"number":[6],"of":[7,14,44,51,81,120,181,200],"detection":[8,72,148,204],"methods":[9,30,35,145],"have":[10],"been":[11],"proposed.":[12],"Most":[13],"them":[15,45],"apply":[16],"classification":[17],"techniques":[18],"by":[19,97],"extracting":[20],"time":[21],"and":[22,102,127,150,166,183],"frequency":[23],"features":[24],"from":[25],"the":[26,38,49,52,59,107,132,167,179,190,198],"acceleration":[27],"data.":[28],"Existing":[29],"are":[31,158,169],"time-consuming":[32],"since":[33],"these":[34],"perform":[36],"on":[37,106,131,161],"whole":[39],"datasets.":[40],"In":[41,62,114],"addition,":[42],"few":[43],"pay":[46],"attention":[47],"to":[48,91,123,177,188,193,197],"similarity":[50],"data":[53,164],"itself":[54],"when":[55],"vehicle":[56],"passes":[57],"over":[58],"anomalies.":[61],"this":[63,115,155],"article,":[64],"we":[65,117],"propose":[66],"QF-COTE,":[67],"real-time":[69,201],"anomaly":[71,95,112],"system":[73],"via":[74],"mobile":[75],"edge":[76,108],"computing.":[77],"Specifically,":[78],"QF-COTE":[79],"consists":[80],"two":[82,162,175],"phases:":[83],"(1)":[84],"Quick":[85],"filter.":[86],"This":[87],"phase":[88],"is":[89],"designed":[90],"roughly":[92],"extract":[93],"segments":[96],"applying":[98],"random":[99],"forest":[100],"filter":[101],"can":[103,128],"be":[104,129],"performed":[105,130],"node.":[109,134],"(2)":[110],"Road":[111],"detection.":[113],"phase,":[116],"utilize":[118],"collective":[119],"transformation-based":[121],"ensembles":[122],"detect":[124],"anomalies":[126,203],"cloud":[133],"We":[135,172,186],"show":[136],"that":[137],"our":[138],"method":[139],"performs":[140],"clearly":[141],"beyond":[142],"some":[143,194],"existing":[144],"in":[146,205],"both":[147],"performance":[149],"running":[151],"time.":[152],"support":[154],"conclusion,":[156],"experiments":[157,176],"conducted":[159],"based":[160],"real-world":[163],"sets":[165],"results":[168],"statistically":[170],"analyzed.":[171],"also":[173],"conduct":[174],"explore":[178],"influence":[180],"velocity":[182],"sample":[184],"rate.":[185],"expect":[187],"lay":[189],"first":[191],"step":[192],"new":[195],"thoughts":[196],"field":[199],"subsequent":[206],"work.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}