{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,1,13]],"date-time":"2024-01-13T00:37:54Z","timestamp":1705106274998},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684802","type":"print"},{"value":"9781643684819","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T00:00:00Z","timestamp":1705017600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,12]]},"abstract":"<jats:p>Highway wind-blown sand reduces vehicle visibility and is likely to cause vehicle rollover and other accidents. In this paper, k-means algorithm is used to extract the annual maximum wind speed data of 10 stations in the central and western regions of Inner Mongolia and analyze the wind speed in different seasons. Through the results, it can be clearly seen that all stations in Inner Mongolia operate from April to June and from October to December. Wind speed shows strong characteristics. The strong performance of the wind speed is also affected by the topography of the central and western Inner Mongolia, which further increases the unsafe factors of road traffic. In addition, it can also be seen from the results that the highway environment around the meteorological station in Wengeng Town of Bayannur City is more susceptible to the influence of wind-blown sand, sandstorms, sand accumulation and other phenomena. Through the cluster analysis of this paper, it can provide scientific data support for the highway maintenance department to effectively resist the disaster caused by wind-blown sand.<\/jats:p>","DOI":"10.3233\/faia231187","type":"book-chapter","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T12:55:38Z","timestamp":1705064138000},"source":"Crossref","is-referenced-by-count":0,"title":["Study on the Application of Meteorological Data Based on K-Means Method to Highway Wind-Blown Sand Protection"],"prefix":"10.3233","author":[{"given":"Yu","family":"Sun","sequence":"first","affiliation":[{"name":"Highway Maintenance Center of Wulanchabu City, China"}]},{"given":"Yanbin","family":"Zhou","sequence":"additional","affiliation":[{"name":"Highway Maintenance Center of Wulanchabu City, China"}]},{"given":"Jiang","family":"Hua","sequence":"additional","affiliation":[{"name":"Highway Maintenance Center of Wulanchabu City, China"}]},{"given":"Suri","family":"Cai","sequence":"additional","affiliation":[{"name":"Institute of Highway Science, Ministry of Transport, Beijing, China"},{"name":"National Engineering Research Center for Efficient Maintenance, Safety and Durability of Roads and Bridges, Beijing, China"}]},{"given":"Cairong","family":"Ni","sequence":"additional","affiliation":[{"name":"Institute of Highway Science, Ministry of Transport, Beijing, China"},{"name":"National Engineering Research Center for Efficient Maintenance, Safety and Durability of Roads and Bridges, Beijing, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Electronics, Communications and Networks"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA231187","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T12:55:39Z","timestamp":1705064139000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA231187"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,12]]},"ISBN":["9781643684802","9781643684819"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia231187","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,12]]}}}