{"title":"模拟骑车人状况的综合算法研究","authors":"Beibei Wang, Kexin Zhou, Ziye Wang, Meng Bi","doi":"10.1109/TOCS56154.2022.10016047","DOIUrl":null,"url":null,"abstract":"So far, there are quite a number of methods to evaluate the performance of cyclists, but there has never been a consensus to form a very famous training method, which will lead to changes in different bicycle states. To solve this problem, this paper establishes a comprehensive algorithm model. The algorithm is divided into three parts: optimizing power profile, application of kinetic model and constraint model. The algorithm can adapt to the evaluation of riders in different situations, and provide a reference for the digital evaluation of sports competition.","PeriodicalId":227449,"journal":{"name":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on synthetic algorithm for simulating the situation of cyclists\",\"authors\":\"Beibei Wang, Kexin Zhou, Ziye Wang, Meng Bi\",\"doi\":\"10.1109/TOCS56154.2022.10016047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"So far, there are quite a number of methods to evaluate the performance of cyclists, but there has never been a consensus to form a very famous training method, which will lead to changes in different bicycle states. To solve this problem, this paper establishes a comprehensive algorithm model. The algorithm is divided into three parts: optimizing power profile, application of kinetic model and constraint model. The algorithm can adapt to the evaluation of riders in different situations, and provide a reference for the digital evaluation of sports competition.\",\"PeriodicalId\":227449,\"journal\":{\"name\":\"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TOCS56154.2022.10016047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TOCS56154.2022.10016047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on synthetic algorithm for simulating the situation of cyclists
So far, there are quite a number of methods to evaluate the performance of cyclists, but there has never been a consensus to form a very famous training method, which will lead to changes in different bicycle states. To solve this problem, this paper establishes a comprehensive algorithm model. The algorithm is divided into three parts: optimizing power profile, application of kinetic model and constraint model. The algorithm can adapt to the evaluation of riders in different situations, and provide a reference for the digital evaluation of sports competition.
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