{"id":"https://openalex.org/W4401326229","doi":"https://doi.org/10.1109/tits.2024.3433004","title":"Fine-Scaled Predictive Modeling of Road Surface Conditions and Temperature in Urban Areas","display_name":"Fine-Scaled Predictive Modeling of Road Surface Conditions and Temperature in Urban Areas","publication_year":2024,"publication_date":"2024-08-05","ids":{"openalex":"https://openalex.org/W4401326229","doi":"https://doi.org/10.1109/tits.2024.3433004"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3433004","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tits.2024.3433004","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tits.2024.3433004","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034584540","display_name":"K. Ishii","orcid":"https://orcid.org/0009-0000-8369-261X"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I91443412","display_name":"Bridgestone (Japan)","ror":"https://ror.org/04trbvb35","country_code":"JP","type":"company","lineage":["https://openalex.org/I91443412"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Keita Ishii","raw_affiliation_strings":["Department of Computer Science, School of Computing, Tokyo Institute of Technology Yokohama, Kanagawa, Japan","Digital AI/IoT Planning and Development Division, Bridgestone Corporation, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Computing, Tokyo Institute of Technology Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Digital AI/IoT Planning and Development Division, Bridgestone Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I91443412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040341698","display_name":"Shunsuke Ono","orcid":"https://orcid.org/0000-0001-7890-5131"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shunsuke Ono","raw_affiliation_strings":["Department of Computer Science, School of Computing, Tokyo Institute of Technology, Yokohama, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Computing, Tokyo Institute of Technology, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106309609","display_name":"Takeshi Masago","orcid":null},"institutions":[{"id":"https://openalex.org/I91443412","display_name":"Bridgestone (Japan)","ror":"https://ror.org/04trbvb35","country_code":"JP","type":"company","lineage":["https://openalex.org/I91443412"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Masago","raw_affiliation_strings":["Digital AI/IoT Planning and Development Division, Bridgestone Corporation, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Digital AI/IoT Planning and Development Division, Bridgestone Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I91443412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015720778","display_name":"Masamu Ishizuki","orcid":null},"institutions":[{"id":"https://openalex.org/I91443412","display_name":"Bridgestone (Japan)","ror":"https://ror.org/04trbvb35","country_code":"JP","type":"company","lineage":["https://openalex.org/I91443412"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masamu Ishizuki","raw_affiliation_strings":["Digital AI/IoT Planning and Development Division, Bridgestone Corporation, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Digital AI/IoT Planning and Development Division, Bridgestone Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I91443412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091037660","display_name":"Teppei Mori","orcid":null},"institutions":[{"id":"https://openalex.org/I91443412","display_name":"Bridgestone (Japan)","ror":"https://ror.org/04trbvb35","country_code":"JP","type":"company","lineage":["https://openalex.org/I91443412"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Teppei Mori","raw_affiliation_strings":["Digital AI/IoT Planning and Development Division, Bridgestone Corporation, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Digital AI/IoT Planning and Development Division, Bridgestone Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I91443412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089454917","display_name":"Yasushi Hanatsuka","orcid":null},"institutions":[{"id":"https://openalex.org/I91443412","display_name":"Bridgestone (Japan)","ror":"https://ror.org/04trbvb35","country_code":"JP","type":"company","lineage":["https://openalex.org/I91443412"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasushi Hanatsuka","raw_affiliation_strings":["Digital AI/IoT Planning and Development Division, Bridgestone Corporation, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Digital AI/IoT Planning and Development Division, Bridgestone Corporation, Tokyo, Japan","institution_ids":["https://openalex.org/I91443412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5034584540"],"corresponding_institution_ids":["https://openalex.org/I114531698","https://openalex.org/I91443412"],"apc_list":null,"apc_paid":null,"fwci":0.7986,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65342311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"25","issue":"11","first_page":"17122","last_page":"17133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12682","display_name":"Smart Materials for Construction","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9800000190734863,"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/T11371","display_name":"Wind and Air Flow Studies","score":0.9427000284194946,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/road-surface","display_name":"Road surface","score":0.7076513767242432},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5915953516960144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5153631567955017},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4761098325252533},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46122223138809204},{"id":"https://openalex.org/keywords/geographic-information-system","display_name":"Geographic information system","score":0.42562878131866455},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.3806998133659363},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3806813955307007},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32246845960617065},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2971974015235901},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1793437898159027},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.1776982545852661},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1755191683769226},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1493481695652008},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10947322845458984}],"concepts":[{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.7076513767242432},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5915953516960144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5153631567955017},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4761098325252533},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46122223138809204},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.42562878131866455},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.3806998133659363},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3806813955307007},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32246845960617065},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2971974015235901},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1793437898159027},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.1776982545852661},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1755191683769226},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1493481695652008},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10947322845458984},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3433004","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tits.2024.3433004","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tits.2024.3433004","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tits.2024.3433004","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W366418131","https://openalex.org/W627519998","https://openalex.org/W1118229279","https://openalex.org/W1513618424","https://openalex.org/W1549342387","https://openalex.org/W1695074111","https://openalex.org/W1723286034","https://openalex.org/W1739231958","https://openalex.org/W1831050183","https://openalex.org/W1898500083","https://openalex.org/W1981039744","https://openalex.org/W1987981921","https://openalex.org/W1991828334","https://openalex.org/W1995672844","https://openalex.org/W2003563479","https://openalex.org/W2012972244","https://openalex.org/W2017423023","https://openalex.org/W2028627156","https://openalex.org/W2034874212","https://openalex.org/W2087347434","https://openalex.org/W2089603425","https://openalex.org/W2092986007","https://openalex.org/W2098781116","https://openalex.org/W2127874106","https://openalex.org/W2163143028","https://openalex.org/W2175473961","https://openalex.org/W2295598076","https://openalex.org/W2307352310","https://openalex.org/W2321985540","https://openalex.org/W2563281353","https://openalex.org/W2603489941","https://openalex.org/W2612601931","https://openalex.org/W2624087348","https://openalex.org/W2765704326","https://openalex.org/W2782739743","https://openalex.org/W2797631569","https://openalex.org/W2801200389","https://openalex.org/W2896156853","https://openalex.org/W2911964244","https://openalex.org/W3113668762","https://openalex.org/W3200814435","https://openalex.org/W3211318550","https://openalex.org/W4200086513","https://openalex.org/W4229568906","https://openalex.org/W4237972824","https://openalex.org/W4245786205","https://openalex.org/W4285236128","https://openalex.org/W4317418752","https://openalex.org/W4367299897","https://openalex.org/W6618557482","https://openalex.org/W6619907193","https://openalex.org/W6744094484","https://openalex.org/W6787338702"],"related_works":["https://openalex.org/W4317418752","https://openalex.org/W2676717608","https://openalex.org/W1999782923","https://openalex.org/W4200181342","https://openalex.org/W231590717","https://openalex.org/W3116895944","https://openalex.org/W2742343972","https://openalex.org/W4312895206","https://openalex.org/W3000602481","https://openalex.org/W2352365753"],"abstract_inverted_index":{"Road":[0],"administrators":[1],"require":[2],"fine-scaled":[3],"information":[4,21,36,164],"regarding":[5],"road":[6,34,46,69,76,87,117,135,142,174],"surface":[7,47,70,118,136],"conditions":[8,48,73,143],"to":[9,26,133],"ensure":[10],"efficient":[11,172],"operation":[12],"during":[13],"winter":[14,173],"periods.":[15],"However,":[16],"conventional":[17],"models":[18],"offer":[19],"low-resolution":[20],"at":[22,170],"a":[23,64,110,121,126,149,154],"scale":[24],"comparable":[25],"meteorological":[27],"meshes":[28],"or":[29],"the":[30,99,160,180,183,189],"spatial":[31,127],"configuration":[32],"of":[33,82,103,151,157,182],"weather":[35],"systems.":[37],"Additionally,":[38],"few":[39],"methods":[40],"have":[41],"been":[42],"proposed":[43,107,184],"for":[44,67,115,166,195],"predicting":[45,68,116],"specifically":[49],"in":[50,74],"urban":[51,75],"areas,":[52],"where":[53],"roads":[54],"frequently":[55],"experience":[56],"shading":[57,101],"from":[58],"surrounding":[59],"buildings.":[60],"This":[61],"study":[62],"proposes":[63],"statistical":[65],"approach":[66,185],"temperature":[71,119],"and":[72,90,153],"networks.":[77],"The":[78,106,138],"complicated":[79],"accumulated":[80],"distribution":[81],"solar":[83,122],"radiation":[84,123],"along":[85],"each":[86],"is":[88,131],"calculated":[89],"used":[91],"as":[92],"an":[93],"effective":[94],"explanatory":[95],"variable":[96],"that":[97,179],"considers":[98],"complex":[100],"effects":[102],"nearby":[104],"structures.":[105],"model":[108,130,139,161],"adopts":[109],"Bayesian":[111],"spatiotemporal":[112],"hierarchical":[113],"framework":[114],"using":[120],"variable.":[124],"Furthermore,":[125],"machine":[128],"learning":[129],"implemented":[132],"estimate":[134],"conditions.":[137],"classifies":[140],"icy":[141],"into":[144],"six":[145],"distinct":[146],"types,":[147],"achieving":[148],"sensitivity":[150],"0.7712":[152],"balanced":[155],"accuracy":[156],"0.8637.":[158],"Ultimately,":[159],"provides":[162],"significant":[163],"required":[165],"decision-making":[167],"processes":[168],"aimed":[169],"ensuring":[171],"management.":[175],"These":[176],"results":[177],"indicate":[178],"applicability":[181],"can":[186],"extend":[187],"beyond":[188],"studied":[190],"area,":[191],"demonstrating":[192],"its":[193],"potential":[194],"broader":[196],"implementation.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
