{"id":"https://openalex.org/W2549700790","doi":"https://doi.org/10.1109/icitcs.2016.7740326","title":"Development of Real-Time Road Surface Condition Determination Algorithm Using an Automatic Weather System","display_name":"Development of Real-Time Road Surface Condition Determination Algorithm Using an Automatic Weather System","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2549700790","doi":"https://doi.org/10.1109/icitcs.2016.7740326","mag":"2549700790"},"language":"en","primary_location":{"id":"doi:10.1109/icitcs.2016.7740326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icitcs.2016.7740326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 6th International Conference on IT Convergence and Security (ICITCS)","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/A5012162173","display_name":"Moohun Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I83436808","display_name":"Hankuk University of Foreign Studies","ror":"https://ror.org/051q2m369","country_code":"KR","type":"education","lineage":["https://openalex.org/I83436808"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Moohun Lee","raw_affiliation_strings":["Weather Information Service Engine Institute, Hankuk University of Foreign Studies, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Weather Information Service Engine Institute, Hankuk University of Foreign Studies, Seoul, South Korea","institution_ids":["https://openalex.org/I83436808"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100620594","display_name":"Mingyu Kim","orcid":"https://orcid.org/0000-0003-0515-0684"},"institutions":[{"id":"https://openalex.org/I83436808","display_name":"Hankuk University of Foreign Studies","ror":"https://ror.org/051q2m369","country_code":"KR","type":"education","lineage":["https://openalex.org/I83436808"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mingyu Kim","raw_affiliation_strings":["Weather Information Service Engine Institute, Hankuk University of Foreign Studies, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Weather Information Service Engine Institute, Hankuk University of Foreign Studies, Seoul, South Korea","institution_ids":["https://openalex.org/I83436808"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012162173"],"corresponding_institution_ids":["https://openalex.org/I83436808"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0971598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"29","issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12682","display_name":"Smart Materials for Construction","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12682","display_name":"Smart Materials for Construction","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9923999905586243,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9323999881744385,"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/snow","display_name":"Snow","score":0.7466422319412231},{"id":"https://openalex.org/keywords/road-surface","display_name":"Road surface","score":0.7091946005821228},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.6549925804138184},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5404906868934631},{"id":"https://openalex.org/keywords/numerical-weather-prediction","display_name":"Numerical weather prediction","score":0.5099548101425171},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47575920820236206},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4737356901168823},{"id":"https://openalex.org/keywords/weather-prediction","display_name":"Weather prediction","score":0.4733731150627136},{"id":"https://openalex.org/keywords/model-output-statistics","display_name":"Model output statistics","score":0.4514176845550537},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.45007187128067017},{"id":"https://openalex.org/keywords/surface-weather-observation","display_name":"Surface weather observation","score":0.44456052780151367},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4417572021484375},{"id":"https://openalex.org/keywords/automatic-weather-station","display_name":"Automatic weather station","score":0.429410457611084},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36807113885879517},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16062262654304504},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15994194149971008},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.08993545174598694}],"concepts":[{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.7466422319412231},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.7091946005821228},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.6549925804138184},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5404906868934631},{"id":"https://openalex.org/C147947694","wikidata":"https://www.wikidata.org/wiki/Q837552","display_name":"Numerical weather prediction","level":2,"score":0.5099548101425171},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47575920820236206},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4737356901168823},{"id":"https://openalex.org/C2987469573","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather prediction","level":2,"score":0.4733731150627136},{"id":"https://openalex.org/C37505551","wikidata":"https://www.wikidata.org/wiki/Q1453537","display_name":"Model output statistics","level":3,"score":0.4514176845550537},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.45007187128067017},{"id":"https://openalex.org/C138410489","wikidata":"https://www.wikidata.org/wiki/Q478751","display_name":"Surface weather observation","level":3,"score":0.44456052780151367},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4417572021484375},{"id":"https://openalex.org/C2779395273","wikidata":"https://www.wikidata.org/wiki/Q846837","display_name":"Automatic weather station","level":2,"score":0.429410457611084},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36807113885879517},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16062262654304504},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15994194149971008},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.08993545174598694}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icitcs.2016.7740326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icitcs.2016.7740326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 6th International Conference on IT Convergence and Security (ICITCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W75165674","https://openalex.org/W337956436","https://openalex.org/W1967665474","https://openalex.org/W2085198728","https://openalex.org/W2118999539","https://openalex.org/W6603066450"],"related_works":["https://openalex.org/W3047402747","https://openalex.org/W3021464272","https://openalex.org/W2787716671","https://openalex.org/W3154522974","https://openalex.org/W3126426455","https://openalex.org/W2893954686","https://openalex.org/W2580802018","https://openalex.org/W4388449769","https://openalex.org/W4223932376","https://openalex.org/W2810641853"],"abstract_inverted_index":{"A":[0],"road":[1,26,30,42,61,89,112],"weather":[2,12,31,54,73,122],"observation":[3],"system":[4,74],"(RWOS),":[5],"which":[6],"is":[7,46,53,76],"used":[8],"for":[9,21,86],"observing":[10],"the":[11,25,34,41,106,109,149],"and":[13,59,108,135,141],"surface":[14,90],"conditions":[15,62,91,123,138],"of":[16,24,102],"roads,":[17],"cannot":[18],"be":[19,64],"installed":[20],"all":[22],"sections":[23],"to":[27,50,143],"provide":[28],"high-resolution":[29,71],"information":[32,44],"because":[33,40],"associated":[35],"devices":[36],"are":[37],"expensive.":[38],"Furthermore,":[39],"condition":[43,113],"that":[45],"most":[47],"closely":[48],"related":[49],"safe":[51],"driving":[52],"conditions,":[55],"e.g.":[56],"ice,":[57],"snow,":[58],"rain,":[60],"should":[63],"determined":[65,140],"by":[66],"a":[67,70,120],"nodelink":[68],"when":[69],"automatic":[72],"(AWS)":[75],"applied.":[77],"Therefore,":[78],"in":[79,129,145],"this":[80],"research,":[81],"an":[82],"algorithm":[83],"was":[84,97],"proposed":[85],"determining":[87],"real-time":[88,146],"using":[92,99],"ensemble":[93],"learning.":[94,118],"Learning":[95],"data":[96,104],"organized":[98],"time-series":[100],"mapping":[101],"observed":[103],"from":[105,124],"RWOS":[107],"AWS.":[110],"The":[111],"determination":[114],"model":[115],"uses":[116],"machine":[117],"As":[119],"result,":[121],"nodelinks":[125],"on":[126,148],"major":[127],"roads":[128],"Seoul,":[130],"South":[131],"Korea,":[132],"were":[133,139],"calculated":[134],"presented.":[136],"Road":[137],"provided":[142],"drivers":[144],"based":[147],"corresponding":[150],"data.":[151]},"counts_by_year":[{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
